Lin Wang1, Yijun Feng1, Ze Li1, Guohua Liu1. 1. Beijing Key Laboratory of Multiphase Flow and Heat Transfer for Low Grade Energy Utilization, North China Electric Power University, Beijing 102206, China.
Abstract
Establishing direct, close contact between individual nano-objects is crucial to fabricating hierarchical and multifunctional nanostructures. Nanowelding is a technical prerequisite for successfully manufacturing such structures. In this paper, we review the nanoscale thermoplasmonic welding with a focus on its physical mechanisms, key influencing factor, and emerging applications. The basic mechanisms are firstly described from the photothermal conversion to self-limited heating physics. Key aspects related to the welding process including material scrutinization, nanoparticle geometric and spatial configuration, heating scheme and performance characterization are then discussed in terms of the distinctive properties of plasmonic welding. Based on the characteristics of high precision and flexible platform of thermoplasmonic welding, the potential applications are further highlighted from electronics and optics to additive manufacturing. Finally, the future challenges and prospects are outlined for future prospects of this dynamic field. This work summarizes these innovative concepts and works on thermoplasmonic welding, which is significant to establish a common link between nanoscale welding and additive manufacturing communities.
Establishing direct, close contact between individual nano-objects is crucial to fabricating hierarchical and multifunctional nanostructures. Nanowelding is a technical prerequisite for successfully manufacturing such structures. In this paper, we review the nanoscale thermoplasmonic welding with a focus on its physical mechanisms, key influencing factor, and emerging applications. The basic mechanisms are firstly described from the photothermal conversion to self-limited heating physics. Key aspects related to the welding process including material scrutinization, nanoparticle geometric and spatial configuration, heating scheme and performance characterization are then discussed in terms of the distinctive properties of plasmonic welding. Based on the characteristics of high precision and flexible platform of thermoplasmonic welding, the potential applications are further highlighted from electronics and optics to additive manufacturing. Finally, the future challenges and prospects are outlined for future prospects of this dynamic field. This work summarizes these innovative concepts and works on thermoplasmonic welding, which is significant to establish a common link between nanoscale welding and additive manufacturing communities.
The development of miniaturization, intelligence, and functional devices inspires people to explore ways to break through the size limit of devices. The current manufacturing technology has achieved a state-of-the-art precision to the nanoscale (Baljon and Robbins, 1996; Patolsky et al., 2004). Nanoscale welding is an emerging field to promote the connection of individual nano-objects, providing high mechanical strength of bonds between different structural elements with excellent electrical and optical connectivity (Zhou, 2008). Nanoscale welding can be classified into three types in terms of the physical states of joint: solid-state bonding, brazing, and fusion welding (Krzanowski, 1989; Lin et al., 2015; Peng et al., 2017; Shehla et al., 2016). Solid-state cold welding achieves the bonding through atomic diffusion (Dai et al., 2016; Liu et al., 2017; Wagle and Baker, 2015). This method requires the weld surface free of impurities with a high surface energy (Changsoon Kim et al., 2000; Chen et al., 2012a; Lu et al., 2010) The high surface energy of nanomaterials is often used as brazing filler to connect other materials, retaining the integrity of the connected objects and respective structures and functions (Gao and Gu, 2010; Gu et al., 2005). Whereas the obvious disadvantages lie in only one joint being formed at a time, and the operation requires a precise management of the nanoscale components (Peng et al., 2009). The heat supply is critically important to creating high-quality joints in nanoscale welding, as the high specific surface energy and increased surface volume ratio of materials are very sensitive to heat (Wagle and Baker, 2015). For example, fusion welding, such as Joule heating (Chellattoan et al., 2019; Song et al., 2014; Tohmyoh et al., 2007), electron beam welding (Koleva, 2005; Terrones et al., 2002; Zhang et al., 2018), and ultrafast laser welding (Gonzalez-Rubio et al., 2017; Huang et al., 2012; Itoh et al., 2013), have been applied for nano-connection, but these methods with high energy input unavoidably damage finer nano-objects. Therefore, it is highly necessary to develop accurate welding technology to solve these issues.Plasmon-assisted welding process configures an emerging field-thermoplasmonic welding, in which light absorption and heat generation are the competitive mechanisms to tune the temperature distribution of metal structures. In this way, metal nanoparticles are used as nano-heat sources during light illumination for a self-limited bonding that meets the requirements of high precision, low energy input, and large-scale application (Hartland, 2011). Light–matter interaction via nano-gaps of materials results in significant enhancement of the electromagnetic field, which concentrates heat at the desired point where the materials to be bonded together. The geometry-dependent heating of junction causes the welding process to be self-limited when a physical connection is made. This self-limited process can prevent damage to low-thermal-budget substrates (Park et al., 2016). The light source is used to excite the heating for achieving the fine-tuned and start-stop of welding (Jauffred et al., 2019). Especially when using a pulsed laser, thermoplasmonic quickly adjusts the temperature of nanostructures with unprecedented time and spatial control (Garnett et al., 2012). The light-induced nano-welding has the advantage of non-contact, high operational efficiency, and compatibility with flexible manufacturing systems. It has been used to connect zero dimension nanoparticles (NPs), one dimension nanowire (NW), and two-dimensional materials (Lee et al., 2016; Pan et al., 2007; Rahimi et al., 2016). Specifically, NPs can be facile welded into NP chains or thin films (Mafune et al., 2003). NWs are usually welded for electrical connection in conductive electrodes (Kim et al., 2013). Furthermore, thermoplasmonic welding has been integrated with other technologies such as roll-to-roll and inkjet printing processes for large-scale production (Ko et al., 2007; Nian et al., 2015).Thermoplasmonic welding has been used to robustly bond nano-components to create novel mechanical and electrical properties owing to its tunable optical and plasmonic properties, but there is still a lack of systematic knowledge on this emerging technology. Herein, we review the research status of thermoplasmonic welding, from its physic and key factors to the potential applications (Figure 1). First, we discuss the physical mechanism of thermoplasmonic welding that includes the photothermal conversion and self-limited heating. Key aspects of thermoplasmonic welding such as optical, photothermal, electrical, and mechanical, the material scrutinization, geometric and spatial configuration, heat scheme as well as performance characterization, are then emphasized. Moreover, the potential applications of this technology are highlighted from an electrical device, optical application to additive manufacturing. Finally, we provide our views on future research directions in thermoplasmonic welding, together with a few suggestions for further developments of this technology.2
Figure 1
Schematic of the structure of this article
Overview of thermoplasmonic welding from its physic and key factors to the emerging applications. Reprinted and adapted with permission from references (Ha et al., 2019; Hardiansyah et al., 2015; Powell et al., 2018; Sevenler et al., 2015; Su et al., 2013). Copyright 2015, Springer Japan. Copyright 2019, American Chemical Society. Copyright 2013, WILEY-VCH. Copyright 2015, Springer Verlag. Copyright 2018, American Chemical Society.
Schematic of the structure of this articleOverview of thermoplasmonic welding from its physic and key factors to the emerging applications. Reprinted and adapted with permission from references (Ha et al., 2019; Hardiansyah et al., 2015; Powell et al., 2018; Sevenler et al., 2015; Su et al., 2013). Copyright 2015, Springer Japan. Copyright 2019, American Chemical Society. Copyright 2013, WILEY-VCH. Copyright 2015, Springer Verlag. Copyright 2018, American Chemical Society.
Thermoplasmonic welding physics
Thermoplasmonic welding is achieved via two sequential steps: photothermal conversion and self-limited welding. The discussion of photothermal conversion includes the introduction of the light-matter interaction and light concentration before proceeding to the most crucial heating effect. Moreover, the self-limited welding is detailed by thermal localization and melting-solidification of the materials.
Photothermal conversion
Light-matter interaction
Nanostructures illuminated by light lead to a local surface plasmon resonate (LSPR) that oscillates around the structure with a distinct frequency (Figure 2A) (Sevenler et al., 2015; Willets and Van Duyne, 2007). The prerequisite of this depends on the characteristic frequency of oscillation consistent with that of the excitation frequency of light (Baffou and Quidant, 2014). The electromagnetic (EM) field interacts with electrons, which causes them beyond equilibrium, generating surface charge on the nanostructure. The system tends to relax to its minimum-energy configuration with the electrons returning to the equilibrium status, inducing charge-density oscillations (Giannini et al., 2010). LSPRs can squeeze light into nanometer dimensions, allowing the manipulation of light and heat at the nanoscale (Taminiau et al., 2008). The interaction between light and nanostructure is described by the classical Maxwell’s equations, and the electric field distribution can be calculated from the Helmholtz wave equation (Cunha et al., 2020):
Figure 2
Photothermal conversion of plasmonic materials
(A) Schematic of LSPR. Reprinted and adapted with permission from Willets and Van Duyne (2007). Copyright 2007, Annual Reviews Inc.
(B) Field strength distribution of external hotspot model. Reprinted and adapted with permission from Le Ru and Etchegoin (2012). Copyright 2018, Elsevier Ltd.
(C) Photoexcitation and relaxation of plasmonic NPs. Reprinted and adapted with permission from Brongersma et al. (2015). Macmillan Publishers Limited. Copyright 2015, Macmillan Publishers Limited.
(D) Electromagnetic, thermal density, and temperature field distribution of Au NP. Reprinted and adapted with permission from Chen et al. (2012b). Copyright 2012, American Chemical Society.
Photothermal conversion of plasmonic materials(A) Schematic of LSPR. Reprinted and adapted with permission from Willets and Van Duyne (2007). Copyright 2007, Annual Reviews Inc.(B) Field strength distribution of external hotspot model. Reprinted and adapted with permission from Le Ru and Etchegoin (2012). Copyright 2018, Elsevier Ltd.(C) Photoexcitation and relaxation of plasmonic NPs. Reprinted and adapted with permission from Brongersma et al. (2015). Macmillan Publishers Limited. Copyright 2015, Macmillan Publishers Limited.(D) Electromagnetic, thermal density, and temperature field distribution of Au NP. Reprinted and adapted with permission from Chen et al. (2012b). Copyright 2012, American Chemical Society.Here, we suppose that , ω is the angular frequency of incident light, μ is the magnetic permeability, ε is the permittivity of the surrounding medium, and ε is the permittivity of materials. Subsequently, the metal structure acts on part of the energy carried by incident light, dissipating it in the form of heat within NP or reradiating it again into free space, which corresponds to the concepts of absorption and scattering, respectively (Baffou and Quidant, 2014).
Light concentration
The plasmonic coupling between adjacent particles concentrates the light into highly localized regions and increases the EM field in the narrow gap (a factor of up to 106). Such regions of intense fields are referred to as hotspots (Figure 2B) (Le Ru and Etchegoin, 2012). These hotspots show multiple resonances, and the wavelength of characteristic dipole resonance is wider than that of single NP. Hotspots enable the effective light concentration limited to the nanoscale gap through plasmon excitation, producing the intense EM field at the point (Garnett et al., 2012). The EM field generated by concentrated gap can be expressed by Equation (Eom, 2004):where E is the electric field, E is the electric field of the incident light, ε is the frequency-dependent permittivity of air, α is the NP radius, and ρ is the distance from the NP center. The hotspots are generated between various nanostructures with the nanoscale gap (1–10 nm), such as NWs, nanoclusters, and NP aggregation films (Halas et al., 2011; Salmon et al., 2020). It is worth mentioning that the tip of a single nano-object also produces hotspots, but their heat source density does not fully match these hotspots. This is because the hotspot usually comes from the tip and charge accumulation at the metal interface, whereas the heat comes from the area where the charge flows freely (Ma et al., 2014).
Heat generation
After the NPs absorb the energy of the incident light, the free electrons in the surface resonate on the lattice, and are then excited to reach a higher energy level at the Fermi level, leading to a charge distribution (Brongersma et al., 2015). Plasmon resonances in nanostructures are damped radiatively by re-emission of photons or non-radiatively through electron-hole pairs via Landau damping. These electrons jump to the excited state that exhibits a non-equilibrium energy distribution, redistributing their thermal energy by electron-electron scattering (Figure 2C) (Chen et al., 2019a; Wang et al., 2021). The subsequent phonon-coupling process refers to the accumulation of energy in the crystal lattice, leading to the heating of particles (Liu et al., 2020). The light-to-heat conversion depends on the local electric field enhancement and light absorption controlled by the relaxation process of surface plasmons at different time scales. The generated heat Q is directly related to the imaginary part of the dielectric constant of material (Chen et al., 2012b):where ε is the permittivity of vacuum; ω is the angular frequency of light. When the structure scale is far smaller than the wavelength, the electric field inside the NP is approximately uniform, and the resulting heat flux is relatively uniform (Liu et al., 2001). as the thermal conductivity of metal NP is far greater than that of the surrounding medium, the heat energy generated inside the particle would diffuse in a very short time, so the nanostructure temperature is considered uniform (Figure 2D) (Chen et al., 2012b). The existence of hotspots between adjacent materials increases the heat generation in a gap region where the temperature is higher than that of the other surrounding regions. Therefore, hotspot heating leads to non-uniform temperature distribution over the materials, which is conducive to the subsequent self-limited welding.
Self-limited welding
The melting processes
Thermoplasmonic welding involves the melting and solidification of nanomaterials. Owing to the increased surface energy, the melting temperature of NPs is much lower than that of bulk metals (Van Teijlingen et al., 2020). The melting point of size-dependent nanomaterials can be calculated through the classical thermodynamic analysis Gibbs–Thomson equation (Van Teijlingen et al., 2020):T is the bulk melting point; σ is solid-liquid interface energy; H is the bulk heat of fusion; ρ density of solid and d is NP’s diameter. There is a decrease in the melting point with a decrease in the particle size. For example, the melting temperature (300–500°C) of Au nanostructure is much lower than the melting point of bulk gold (1,064°C) (Karim et al., 2006). Once the gap temperature is higher than the melting point, the phase transition is initiated at the NP surface. With the continuous melting of surface lattice, the metal neck composed of many individual NPs would gradually be formed. If heterogeneous NPs are welded, the material with a lower melting point is heated and melted into liquid as nano-solder to realize the connection of other materials. The intensity of hotspots determines the melting process and final aggregation of these NPs.
The solidification processes
The material solidification includes nucleation, growth, and recrystallization. The thermodynamic physics of crystal nuclei is the reduction of free energy caused by undercooling, and the kinetic physics is the degree of reduction of free energy (Bauerle, 2011). After nucleation, the lattice gradually grows, whereas the temperature remains unchanged, the microstructure begins to coarsen and starts to produce new internal stress (Chen et al., 2011). When the welding materials are in contact with each other and have the same crystal structure, the epitaxially regrow of metals from existing materials does not require nucleation. In this case, as long as the temperature drops below the liquidus, spontaneous growth can be realized without an activation energy barrier (DebRoy et al., 2018).The crystallization process is controlled by temperature gradient and crystal growth rate that determine the solidification mode and the size of the crystal structure (Figure 3). The microstructure in the fusion zone features different morphologies, such as planar, cellular, and dendritic, which are tuned by a temperature gradient, grain growth rate, and undercooling (Kou, 2003). With increasing undercooling, the microstructure shifts from planar to cellular and from cellular to dendritic or exhibits a combination of these. Because the base material is much colder than molten metal, the first grains solidify as dendrites. In this process, relative to crystal growth, the thermal gradient is dominant. After some time, the supercooling effect decreases, and solidification tends to be planar, and the secondary grain grows, forming epitaxial recrystallization. The secondary growth enlarges some grains at the expense of other grains. With increasing interface free energy, lattice-matched substrates help drive epitaxial recrystallization. The solidification of grains tends to be planar epitaxial growth mode. In the process of competitive grain growth, new grains form on the original grains and grow along the denser crystallographic direction perpendicular to the isotherm (Oliveira et al., 2020). Owing to the increase of interfacial free energy, lattice-matched substrates can drive epitaxial recrystallization, depending on factors such as temperature, pressure, monography, self-diffusion, and environment. In thermoplasmonic welding, the atoms in the bottom nanomaterials must have migration, allowing epitaxial recrystallization at the junction. The self-limited heating characteristics of welding is mainly involved in the solidification stage. When the adjacent nanostructures begin to weld together, the generated heat moves from the original gap to the joint. Therefore, a zipper effect is produced, and the heat generation always reaches its peak at the edge of the gap and moves outward. Once the materials are physically connected, the plasmon mode in the junction is no longer excited, and thus the heat generation is reduced. With the progress of welding, the generated heat decreases rapidly until the hotspots are disappeared in nanogaps (Garnett et al., 2012). This self-limited feature improves material stability because it prevents the nanomaterials from breaking up during intensive heating. Thermal, electrical, and physical properties of the joint would more closely resemble the properties of bulk material (Yang et al., 2013).
Figure 3
Schematic representation of the solidification microstructures
The effect of temperature gradient and growth rate on the solidification structures. Reprinted and adapted with permission from DebRoy et al. (2018). Copyright 2017, Elsevier Ltd.
Schematic representation of the solidification microstructuresThe effect of temperature gradient and growth rate on the solidification structures. Reprinted and adapted with permission from DebRoy et al. (2018). Copyright 2017, Elsevier Ltd.
Key aspects of thermoplasmonic welding
This section discusses key aspects of the thermoplasmonic welding including material scrutinization, NPs’ geometric and spatial configuration, heating scheme, and the performance characterization.
Material scrutinization
Nature material properties affect the welding process, such as optical performance, melting point, and stability. From the optical point of view, plasmonic metals have the intrinsic properties of plasmon resonance. For example, Al and Pd NPs are plasmonic active in the UV range, whereas Ag, Au, and Cu NPs mainly work in the wavelength range of 400–650 nm related to their permittivity (Chen et al., 2013; Eustis and el-Sayed, 2006; Park et al., 2012; Wei and Eilers, 2009). Al, Mg, and Ga are functional in the UV region owing to the high frequency of plasmon. To quantify the thermoplasmonic performance, the dimensionless parameters are defined to highlight the advantages of different plasmonic materials, including Faraday number Fa and Joule number Jo (Lalisse et al., 2015). The Fa number is defined for quantifying the ability of a nanoparticle to enhance the electric field intensity in its surrounding medium. The Jo number enables the comparison in different environments at a fixed light irradiance, and not at a fixed incoming electric field amplitude. Figure 4 shows the calculation results of the Faraday number and Joule number of some metals, in which the resonance intensity of Ag NP is the highest, which is beneficial to the application of resonance excitation, followed by Au NP, and then Cu NP. In addition, Al is also considered an ideal choice in some cases with its excellent plasmon properties in the UV range (Knight et al., 2012; Lecarme et al., 2014).
Figure 4
Dimensionless numbers of the Faraday number and Joule number
(A) Faraday numbers Fa at the plasmon resonance.
(B) Joule numbers Jo at the plasmon resonance. Reprinted and adapted with permission from Lalisse et al. (2015). Copyright 2015, American Chemical Society.
Dimensionless numbers of the Faraday number and Joule number(A) Faraday numbers Fa at the plasmon resonance.(B) Joule numbers Jo at the plasmon resonance. Reprinted and adapted with permission from Lalisse et al. (2015). Copyright 2015, American Chemical Society.Melting point is one of the key parameters to be concerned with during the welding process. Materials with different melting points need to scrutinize suitable illumination schemes toward a better welding. The use of materials with high melting points implies more energy should be input into the nanogap. The refractory metals, such as tungsten (W), molybdenum (Mo), or metal nitride, have high melting points and that can sustain high temperature (TiN 2,930°C, ZrN 2,952°C). But these materials are difficult to meet the low-temperature welding process. It is thus suitable for welding with low thermal sensitivity and no phase change requirements. At the same time, low melting point materials need to pay attention to the fragmentation of NPs. Some studies have proved that when these materials reach the optical breakdown temperature, the nanoparticles will be broken (Pustovalov et al., 2008).The stability of the joint is important to assess the welding performance. The metal is degraded after a long-term exposing to air/oxygen or humidity, causing problems such as oxidation and optical loss (Chan et al., 2007). For example, after 36 h of contact with air, Ag NPs measured a shift of the resonance wavelength of 65 nm, attributed to sulfur contamination and the formation of AgS2 on the NP surface (McMahon et al., 2005). In these circumstances, Ag NPs even features a lower scattering yield than Au NPs. Al suffers from the same problem as Ag and oxidizes even more rapidly (Sanz et al., 2013). But, the oxide layer Al2O3 makes the plasmon resonance sharper (Sobhani et al., 2015). The oxidation rate of Cu is lower than that of Ag and Al, but the oxidation of Cu NPs cannot be ignored during welding. Compared with the bulk matter, the oxidation rate of nanomaterials accelerates with an increase in the surface area, which hinders the development of manufacturing technology. Many experiments are carried out in a vacuum to prevent oxidation issues. AuNPs are not easy to oxidize in the air and remain chemically stable in many environments, and it is one of the most popular materials in thermoplasmonic applications (McMahon et al., 2013).
Geometric and spatial configuration
Particle geometry is the key factor for light absorption (Giannini et al., 2010). Adjustment of NP size tune the position and width of LSPR (Kreibig and Vollmer, 1995). When the plasmon wavelength is larger than the incident light wavelength, the electromagnetic interaction between long-distance charges inside the particles leads to the redshift (Murray and Barnes, 2007). Particles smaller than the wavelength of light (<25 nm) show effective absorption at the resonance wavelength, highlighting their advantages in converting light into heat (Chen et al., 2021; Jiang et al., 2013). Tuning particle shape has a more intense effect on LSPR (Figure 5A) (Ha et al., 2019; Ross et al., 2014). For anisotropic metal NPs, electrons oscillate to different amplitudes along the three axes of the nano-object (Reguera et al., 2017). These different oscillations in splitting the plasmon band into two or more bands (Reguera et al., 2017). By progressively increasing the aspect ratio of nanorods with a fixed diameter, the extinction cross-sections of both the longitudinal and transverse plasmon modes are enlarged (Chen et al., 2013). By customizing their aspect ratio, longitudinal mode plasmon wavelength can be tuned to cover the visible and near-infrared regions (Chen et al., 2010).
Figure 5
Impact of geometry and spatial morphology on thermoplasmonics
(A) Spectrum of particles with a diverse shape. Reprinted and adapted with permission from Ross et al. (2014). Copyright 2014, Macmillan Publishers Limited.
(B) Thermal maps of the multiple nanoparticles in different stretching percentages and wavelengths. Reprinted and adapted with permission from Emanuele Lio et al. (2020). Copyright 2020, AIP Publishing.
Impact of geometry and spatial morphology on thermoplasmonics(A) Spectrum of particles with a diverse shape. Reprinted and adapted with permission from Ross et al. (2014). Copyright 2014, Macmillan Publishers Limited.(B) Thermal maps of the multiple nanoparticles in different stretching percentages and wavelengths. Reprinted and adapted with permission from Emanuele Lio et al. (2020). Copyright 2020, AIP Publishing.Plasmon-coupling over multiple particles creates a strong photothermal effect. The NP configuration offers another degree of freedom in tuning their optical and electric properties (Klinkova et al., 2014). Plasmonic properties can be tailored by changing the number of NPs and fine-tuning interparticle distance. When individual particles are coupled with each other, the surface plasmon resonance changes dramatically (Liu and Xue, 2021). The EM coupling of multiple NPs becomes effective when the gap distances are five times less than the radius (Quinten and Kreibig, 1986). The plasmon-coupling modes lead to the redshift and broadening of longitudinal plasmon resonance. Meanwhile, the existence of many mobile electrons strengthens the thermal effect, especially when the plasmon resonance or optical frequency approaches to the collective resonance. Two mechanisms of interaction are related to the heating process: cumulative effect and Coulomb interaction (Govorov and Richardson, 2007). The cumulative effect comes from the superposition of heat flux generated by individual NPs. Under the influence of this effect, increasing the number of NPs is conducive to improving the temperature rise in the system (Baffou et al., 2010). The heating effect may come from the plasmon resonance displacement caused by the Coulomb interaction between particles, depending on the gap distance and arrangement of particles (Richardson et al., 2006). For example, that modify the arrangements through an externally applied strain could change the wavelength corresponding to the plasmonic resonance of the initial system, thereby affecting the increase in the temperature (Figure 5B) (Emanuele Lio et al., 2020). Reducing the distance between NPs lead to a strong interaction between particles (Govorov and Richardson, 2007). At present, some studies have made it possible for high-density hybrid LSPR to enhance light absorption and improve the heating temperature by randomly distributing NPs in pores (Zhou et al., 2016a, 2017).
Heating scheme
Heat is the key parameter in thermoplasmonic welding that can be run with different schemes. Using different light sources results in different welding temperatures (Deng et al., 2019; Lee et al., 2018; Zhou et al., 2016b). Here we discuss the difference between continuous wave (CW) and pulsed irradiation. CW irradiation is the method of continuous heating, providing thermal energy distribution along the structure. Therefore, it is suitable for large processing windows and more uniform quality (Baffou and Quidant, 2013). In thermoplasmonic welding with NPs, CW irradiation may cause micro-scale damage to printed circuit films owing to the thermal diffusion in the process (Wang and Ding, 2019). The CW irradiation has inherent problems of high-power consumption and safety concerns, restricting the commercial application.Pulsed laser irradiation provides high heating efficiency, smaller heat-affected zone, and lower power consumption. It can trigger a localized temperature rise within sub-nanosecond order, further concentrating the temperature rise to the vicinity of NP (Figure 6). The thermodynamics under pulsed illumination is affected by parameters such as pulse duration, frequency, and size of the NP (Baffou and Quidant, 2013). The cooling duration is an important parameter to control the thermal diffusivity and material geometry. At the initial stage of relaxation, the lattice sustains in a hot state, and photons continue to be absorbed to increase the lattice energy (Sundararaman et al., 2014). Within a few ps, the energy distribution is close to thermal equilibrium. For the short laser pulse, thermal diffusion occurs at a timescale of 10−11s (Linde et al., 1997). A high heating rate and steep temperature gradient are the characteristics of a laser–matter interaction. When the time interval between pulses is less than the cooling timescale, a very fast pulse repetition rate could increase the baseline temperature (Stockman et al., 2013). Thermoplasmonic welding occurs when the pulse duration is longer than the thermal coupling between the electron gas and the lattice phonons (Chen et al., 2011). Pulse irradiation is more capable of rapidly increasing and decreasing temperature in metal structures, and controlling the thermal distribution of various physical processes in unprecedented space and time. The localization heating have advantages in control, speed, and energy efficiency with low costs (Baffou and Quidant, 2013). Therefore, the pulse laser is the primary choice for welding and metallurgical assembly (Garnett et al., 2012; Ha et al., 2016).
Figure 6
The temperature profiles upon CW and pulsed illuminations
Insert: three-dimensional representation of the temperature profile around an NP under CW illumination and femtosecond-pulse illumination. Reprinted and adapted with permission from Baffou and Quidant (2013). Copyright 2012, WILEY-VCH.
The temperature profiles upon CW and pulsed illuminationsInsert: three-dimensional representation of the temperature profile around an NP under CW illumination and femtosecond-pulse illumination. Reprinted and adapted with permission from Baffou and Quidant (2013). Copyright 2012, WILEY-VCH.
Performance characterization
Performance characterization of thermoplasmonic welding is vital to quantify the electrical, mechanical, thermal, and physical properties. Different characterizations are carried out to judge the mechanical and electrical properties. The electrical measurement of nano-welding is realized by measuring the resistance by a nanoprobe manipulator (Wang et al., 2020). Resistance is a crucial characteristic to evaluate the electrical connection of materials. The four-point probe method accurately measures the sheet resistance because it eliminates the influence of nanomaterials and contact on the overall resistance (Smits, 1958). It is useful for testing transparent conductive materials, such as thin films or metal NWs (Papanastasiou et al., 2020). This electrical measurement is valuable for estimating the electrical uniformity by measuring their electrical properties. Two-point probes are also useful in resistance measurement. Two parallel electrodes on opposite sides are made of silver ink or metal layers deposited by evaporation or sputtering. This two-point probe method uses micro tungsten probes to track the resistance measured during voltage or thermal ramp (Yang et al., 2018). The four-point probe method and the two-point probe method provide similar results for the uniform square layer. Another tool for studying electrical uniformity is single probe electrical mapping and drawing voltage distribution maps (Zhang et al., 2017).Mechanical characterization of nano-welding includes theoretical research and experimental measurement. Theoretical studies mainly discuss and analyze the atomic distribution of the joint by molecular dynamics. Compared with high-temperature annealing, welding by light-induced has fewer disordered atoms, phase transitions, dislocations, and smaller residual stresses (Luan et al., 2020a). However, the research on the evolution of nano-welding behavior on hotspots caused by the plasmon effect on the atomic scale is not mature (Luan et al., 2020b). In terms of mechanical measurement, there is little research on the direct measurements of joints because it is still limited by the coupling of light-induced processes and in-situ mechanical measurement systems. Researchers used direct fatigue strength and mechanical tensile tests to measure welded nanostructures. The fatigue strength is verified by comparing the resistivity before and after ten million bending cycles. In the cyclic bending test, the resistance of nano-welded conductor changes little after tens of thousands of bending cycles, indicating the welded materials present robust contact (Han et al., 2014). Mechanical tensile experiments are conducted by applying strain and testing extreme bending conditions. For example, it is judged by observing whether the materials crack owing to increased strain. The mechanical strength of welding materials could be verified by hanging. The method can be tested through the suspension of the welding structure by fixing one end of the material and raising the other end to a horizontal plane with an angle of 44° (Ghosh et al., 2019). The results show that the adhesion between the material and the substrate after welding is strong enough to keep together, demonstrating the strong mechanical strength of the welded structure.
The emerging applications
Thermoplasmonic welding is a promising technology for the interconnection of micro/nano components, which is crucial for fabricating miniature devices and/or systems (An et al., 2014; Angmo et al., 2013). This section summarizes the emerging applications of thermoplasmonic welding in electronic device, optical application, and additive manufacturing.
Electronic device
Thermoplasmonic welding provides a contactless, damage-free method for precision device fabrication, especially transparent conductive electrodes. Transparent conductive electrodes are often used to collect charges from nearby functional layers or provide carriers to these functional layers so that light can either pass through or absorbed by the devices (Cao et al., 2014; Gordon, 2000). Thermoplasmonic welding provides a direct and repeatable method for making selective electrodes (Yoon and Khang, 2016). Owing to the selectivity of self-limited heating, the NPs welded locally in the overlap area. The metal NWs are considered as material for flexible transparent electrodes with low sheet resistance and high transmittance (Garnett et al., 2012). Specially, Ag NWs and Cu NWs are the potential materials for the next generation of flexible electrodes, including transparent film heaters, displays, and solar cells (Figure 7A) (Celle et al., 2012; Han et al., 2014; Kang et al., 2018).
Figure 7
Thermoplasmonic welding in an electronic device
(A) Application of welded NWs in transparent film heaters, displays, and solar cells. Reprinted and adapted with permission from Celle et al. (2012), Chen et al. (2012a), and Kang et al. (2018). Copyright 2012, Springer. Copyright 2018, American Chemical Society. Copyright 2017, American Chemical Society.
(B) Sheet resistance and transmittance of the AgNWs films before and after illumination. Reprinted and adapted with permission from Liang et al. (2018). Copyright 2018, WILEY-VCH.
(C) Stable performance and transparent energy harvester of the pressure test.
(D) SEM image of the pristine AgNW/PET film after the peeling test. Reprinted and adapted with permission from Park et al. (2017). Copyright 2016, WILEY-VCH.
(E) J-V characteristic curves for a heterojunction cell. Reprinted and adapted with permission from Spechler et al. (2015). Copyright 2015, American Chemical Society.
(F) The cyclic bending test of the Cu-NW transparent conductor. Reprinted and adapted with permission from Han et al. (2014). Copyright 2014, WILEY-VCH.
Thermoplasmonic welding in an electronic device(A) Application of welded NWs in transparent film heaters, displays, and solar cells. Reprinted and adapted with permission from Celle et al. (2012), Chen et al. (2012a), and Kang et al. (2018). Copyright 2012, Springer. Copyright 2018, American Chemical Society. Copyright 2017, American Chemical Society.(B) Sheet resistance and transmittance of the AgNWs films before and after illumination. Reprinted and adapted with permission from Liang et al. (2018). Copyright 2018, WILEY-VCH.(C) Stable performance and transparent energy harvester of the pressure test.(D) SEM image of the pristine AgNW/PET film after the peeling test. Reprinted and adapted with permission from Park et al. (2017). Copyright 2016, WILEY-VCH.(E) J-V characteristic curves for a heterojunction cell. Reprinted and adapted with permission from Spechler et al. (2015). Copyright 2015, American Chemical Society.(F) The cyclic bending test of the Cu-NW transparent conductor. Reprinted and adapted with permission from Han et al. (2014). Copyright 2014, WILEY-VCH.Ag is one of plasmonic materials with the best conductivity, and it is not easy to generate sparks during welding. In thermoplasmonic welding, Ag NWs are used to fabricate the transparent electrodes as a substitute for expensive ITO (Jang et al., 2018; Seong et al., 2015). The welded AgNWs show stable and strong fluorescence, showing enhanced current density, brightness, and optoelectrical efficiency (Figure 7B) (Liang et al., 2018). The sheet resistance of Ag NWs on a PET substrate achieved 5 Ω/sq, maintaining an optical transmittance as high as 91%, which is superior to that of any other ITO thin film (<10 Ω/sq) (Nian et al., 2015). High-performance touch panels and conductive transparent heaters are demonstrated by using this kind of transparent electrode. The metal NP layer serves as a protective layer, preventing transferring of heat to adjacent layers and minimizing the thermal damage to the substrate. It also achieves strong adhesion between metal NW and flexible substrate (Figure 7C). The AgNWs formed by thermoplasmonic welding is subjected to the corresponding peel test, proving that the peel strength before welding reaches 310% (Figure 7D) (Park et al., 2017). Another advantage of AgNWs is that they can use the plasmon effect to improve the performance of the active layer in solar cells and manage light through light harvesting or localization (Cao et al., 2014; Chen et al., 2012a). The partial oxidation and interface layer control the structure and surface function of the plasmon electrode for adjusting the optical and electronic properties. As a low-cost alternative to ITO, the contrast of energy conversion efficiency is slightly reduced (Jose Andres et al., 2015). The power conversion efficiency of hybrid silicon/organic heterojunction photovoltaic devices increased by 35% after welding (Spechler et al., 2015). These results indicate that inexpensive Ag NWs can compete with ITO in photovoltaic technology (Figure 7E).Copper has been widely used in electronics, with high conductivity and good photoelectric properties. For example, selective welding on Cu NPs to the substrate can manufacture flexible display devices (Kwon et al., 2016). The resistivity of the welded Cu particles is about 1.67 × 10−4 Ω m with an error change below ±10% in cyclic bending tests (Figure 7F) (Han et al., 2014). The welding structure has good stability that can be connected to the controller as a touch screen device, realizing the direct input on the flexible device. These wide applications benefit from the transparency, conductivity, and flexibility of metal NPs welded by thermoplasmonic heating. In the future, thermoplasmonic welding could be extending applied to sensors and transistors in bioelectronics, such as piezoresistive strain sensors based on stretchable conductive nanocomposites, wearable sensors that can monitor body movement, touch and pressure changes, etc. (Lee et al., 2016; Yao and Zhu, 2014).
Optical application
Plasmon-welded structures attract great attention in optical applications. The intrinsic resonance properties and the way of plasmon excitation and propagation can be rationally designed for optical applications, such as surface enhanced Raman spectroscopy (SERS) and plasmon waveguide applications (Dutta and Chattopadhyay, 2017; Su et al., 2013). SERS is an ideal tool for the detection of trace chemicals in chemical, biomedical and environmental applications (Figure 8A) (Le Ru and Etchegoin, 2008; Yamamoto et al., 2014). Plasmonic elements as receiving optical antenna to convert far-field into the near field is an important step to enhance SERS (Ding et al., 2016). The SERS enhancement factor depends on the size, morphology, and configuration of plasmonic NPs. The enhancement factor value on the order of 107–108 is sufficient for single-molecule detection (Etchegoin and Le Ru, 2008). Welding metal NPs into an anisotropic structure is one of the ways to improve the detection limit (Qin et al., 2019). Nie et al. show that anisotropic colloidal metal NPs with high aspect ratio can increase the SERS enhancement factor to 1014 (Nie and Emory, 1997). Multiple NP welding has also been adopted for ultra-sensitive detection, because the plasmon-coupling provides EM field enhancement and amplifies slight changes in a local environment (Xi et al., 2015). This enhancement leads to vibrational Raman signals that are more intense and stable than single-molecule fluorescence (Figure 8B) (Itoh et al., 2013; Slablab et al., 2012). The detection limit of welded Ag NPs enhances five to six times than that of the randomly distributed NPs(Hu et al., 2012). A smart nanogap device is prepared by studying the dynamic response of Ag nanorod arrays during light irradiation (Wang et al., 2016). Several nanorods are welded together as a bundle unit owing to the photothermal effect, leading to a sharp increase in the local EM field at bundle tip (Figure 8C). This bundle tip can be more adjustable to use light as an external stimulus on the nanoscale for SERS detection.
Figure 8
Thermoplasmonic welding in an optical application
(A) SERS measurement. Reprinted and adapted with permission from Dutta and Chattopadhyay (2017). Copyright 2017, American Chemical Society.
(B) Raman signal showing the detection of adenine for Ag foil, pristine Ag NPs, and welded Ag NPs. Reprinted and adapted with permission from Hu et al. (2012) Copyright 2012, Laser Institute of America.
(C) The plasmonic gap device. Reprinted and adapted with permission from Wang et al. (2016) Copyright 2016, American Chemical Society.
(D) Chain welding of Au NPs. Reprinted and adapted with permission from Herrmann et al. (2014) Copyright 2014, Macmillan Publishers Limited.
(E) Plasmonic waveguiding along the AuNP linear assembly. Reprinted and adapted with permission from Su et al. (2013) Copyright 2013, WILEY-VCH.
Thermoplasmonic welding in an optical application(A) SERS measurement. Reprinted and adapted with permission from Dutta and Chattopadhyay (2017). Copyright 2017, American Chemical Society.(B) Raman signal showing the detection of adenine for Ag foil, pristine Ag NPs, and welded Ag NPs. Reprinted and adapted with permission from Hu et al. (2012) Copyright 2012, Laser Institute of America.(C) The plasmonic gap device. Reprinted and adapted with permission from Wang et al. (2016) Copyright 2016, American Chemical Society.(D) Chain welding of Au NPs. Reprinted and adapted with permission from Herrmann et al. (2014) Copyright 2014, Macmillan Publishers Limited.(E) Plasmonic waveguiding along the AuNP linear assembly. Reprinted and adapted with permission from Su et al. (2013) Copyright 2013, WILEY-VCH.Moreover, the nano-chain structure can transfer surface plasmons polaritons along with the close-packed linear structure (Chen et al., 2019b). The strong near-field coupling and field enhancement effects lead to unidirectional optical transmission along one-dimensional NP chains at sub-wavelength scales. The ordered NP structure act as a waveguide for the directional transfer of photons (Pala et al., 2013). Metal NPs are welded into the one-dimensional chain structure that can obtain a plasmon waveguide, coupling the incident laser beam to realize the directional propagation of light (Figures 8D and 8E) (Herrmann et al., 2014). For applications of the plasmon waveguide, the interparticle oscillation leads to inevitable transport loss (Solis et al., 2012). A wider combination means that there are more NPs at the same distance. The oscillations between isotropic particles waste light energy and limit the propagation distance (Chen et al., 2019b). Reducing the width of NPs’ chain is one of the strategies to avoid the transmission loss along the waveguide. For example, when the width of the Ag NPs’ chains is shortened to 100 nm, the propagation distance increased slightly by 3.2 mm (Su et al., 2014). These studies show that the thermoplasmonic welding is a fast and cost-effective way of designing and manufacturing optical devices.
Additive manufacturing
Three-dimensional (3D) printing has developed rapidly in the past decade and is becoming the preferred production mode for many items in daily life. Selective sintering of powder materials by laser heating is one of the effective methods (Yap et al., 2015). However, the range of basic powder materials available is limited, which constitutes the main obstacle to further developing this field. More than 80% of the commercial polymer materials used for laser sintering are polyamide PA12 and its modifications. Owing to its low coupling of laser energy and inefficient manufacturing, it hardly meets the quality requirements (Lau et al., 2014). This technique typically requires high-power CO2 lasers and remains slow and costly compared with conventional processing methods. That polymer powder mixed with broad light absorption additives acts as a photosensitizer for photothermal welding. At present, most of the materials used are carbon-based nanomaterials, so the printed objects are black or grey, making it impossible to produce colorful parts without many post-processing steps.The stability and optical response of plasmonic NPs made them ideal candidates for additive manufacturing owing to their long-lasting coloration (Chen et al., 2021). LSPR in metal NPs can adjust absorption peaks from UV to near-infrared by designing the geometry and structure. This phenomenon makes thermoplasmonic welding a potential technology to weld materials at low light power with minimal damage (Figure 9A). As shown in Figure 9B, the color of printed matter depends to some extent on the writing speed of the laser, because this defines the welding degree (Powell et al., 2020). The nanocomposites mixed with the plasmonic materials with polyamide powder could be made into vivid objects, showing colorful effects (Figures 9C and 9D) (Powell et al., 2018). Au NPs have great potential in the aesthetic design of 3D printing, but their high cost is not conducive to large-scale application. Ag NPs are 40 times cheaper than Au, and their molar absorption coefficient at the LSPR peak is four times that of Au. Owing to the LSPR of Ag NPs, the Ag NPs thermoplastic polyurethane composite powder is bright yellow (Hupfeld et al., 2020). Plasmonic NPs thus can be flexible welded under light irradiation to realize multi-color 3D printing. A large number of post-processing steps can be reduced in additive manufacturing, and the application restrictions are alleviated in functional prototyping, and fashion. Therefore, the colorful colors, fast welding speed and low-loss of thermoplasmonic welding provide flexible choices for additive manufacturing.
Figure 9
Thermoplasmonic welding in additive manufacturing
(A) The heating effect of Au NPs.
(B) The hue (a∗ and b∗) and brightness (L∗) of black and Au nanorods (red) welded at different scan speeds.
(C) Welded samples produced with different materials. Reprinted and adapted with permission from Powell et al. (2020) Copyright 2020, American Chemical Society.
(D) Colored powders used to make the colorful objects. Reprinted and adapted with permission from Powell et al. (2018) Copyright 2018, American Chemical Society.
Thermoplasmonic welding in additive manufacturing(A) The heating effect of Au NPs.(B) The hue (a∗ and b∗) and brightness (L∗) of black and Au nanorods (red) welded at different scan speeds.(C) Welded samples produced with different materials. Reprinted and adapted with permission from Powell et al. (2020) Copyright 2020, American Chemical Society.(D) Colored powders used to make the colorful objects. Reprinted and adapted with permission from Powell et al. (2018) Copyright 2018, American Chemical Society.
Conclusions and future prospects
Thermoplasmonic welding is an optical method for connecting nano-objects by taking advantage of the extreme field concentration offered by plasmonics. This technology has the advantages of high accuracy and compatibility with flexible devices and provides a new control level for the welding materials. In this review, we overview this novel welding technology based on the distinct features of thermoplasmonics. The physical mechanism is discussed with focus on the photothermal effect, self-limited heating, as well as the melting and solidification process. Key aspects of the welding are considered from the optical and thermal aspects, including the material scrutinization, geometric and spatial configuration, heat scheme, and performance characterization. Finally, the potential applications of this technology are highlighted in electrical devices, optical applications and manufacturing field. Overall, the thermoplasmonic welding supports mechanical connections between different nanocomponents and diverse functional devices. This technology has been widely used in the additive manufacturing and connection of nanostructures with diverse materials, the assembly of integrated circuits and electronic devices etc. Table 1 summarizes the-state-of-the-art methods used in nano-welding, and briefly lists its working mechanism, materials, and challenges. Thermoplasmonic welding has the advantages of simple operation, high welding efficiency and accuracy with minimum thermal damage. However, as a fusion welding method, there are some restrictions of the technique. Plasmonic heating must be present for the welding materials. Owing to the inverse effect of hotspots, the welding quality depends on the irradiation duration, light intensity, and interface geometry.
Table 1
Nanowelding methods, working principle, materials, and challenges
Methods
Working principle
Materials
Challenges
Ref
Solid-state welding
Pressure joining
External force is applied through ultrasonic vibration, normal compression, nanoindentation, etc.
Metal/Semiconductor/Ceramic 2D materials, etc.
Difficult to control deformation degree, low accuracy
(Krzanowski, 1989; Lin et al., 2015; Peng et al., 2017)
Cold welding
The diffusion barrier of a single metal atom on a clean metal surface is very low, and even a small thermal activation is enough to trigger atomic diffusion. When two clean interfaces are close, mutual diffusion will occur automatically.
Ultrathin metallic materials
Complex operation, less applicable materials
(Dai et al., 2016; Liu et al., 2017; Wagle and Baker, 2015)
Brazing
Molten filler is introduced between components to form joints. The solid material dissolves and diffuses into the molten liquid in the joint, accompanied by the formation of a reaction zone.
Metal/Semiconductor/Ceramic 2D materials, etc.
Complex operation, low welding efficiency
(Gao and Gu, 2010; Gu et al., 2005; Peng et al., 2009)
Fusion welding
Joule heating
Welding is carried out by accurately controlling the contact geometry and current between materials. When contact is formed, a hotspot is generated at the contact point owing to the high local current density.
(Chellattoan et al., 2019; Song et al., 2014; Tohmyoh et al., 2007)
Electron beam welding
It refers to the impact of high-speed beam on the material surface under vacuum, and most of its energy is converted into heat energy in a fraction of a microsecond.
Metal/Semiconductor/Ceramic 2D materials, etc.
High cost, complex equipment
(Koleva, 2005; Terrones et al., 2002; Zhang et al., 2018)
Ultrafast laser welding
Using a pulse width much smaller than the electron lattice thermal coupling time, electrons do not have enough time to transfer energy to the lattice. The excited electrons are thrown out, weakening the chemical bonds of lattice atoms and causing the atoms on the surface of the material to melt.
Metal/Semiconductor/Ceramic 2D materials, etc.
long irritation time (>1 min),high laser fluence
(Gonzalez-Rubio et al., 2017; Huang et al., 2012; Itoh et al., 2013)
Thermoplasmonic welding
Light–matter interaction via nano gaps of materials results in enhancement of the electromagnetic field, effectively concentrating heat at the desired point where the materials to be welded together.
Metal/Semiconductor 2D materials, etc.
Plasmonic material must be present, affected by hotspot sizes
(Garnett et al., 2012; Jang et al., 2018; Park et al., 2017)
Nanowelding methods, working principle, materials, and challengesIn the future, thermoplasmonic welding can be further developed from several aspects such as heterogeneous welding, new structured materials, and other potential applications. So far, thermoplasmonic welding mainly focus on the homogeneous junction, whereas the heterogeneous welding research is less. Therefore, the relationships between plasmonic materials and semiconductors, ceramics, and other materials need further investigation. These hybrid structures composed of heterogeneous materials create hotspots with diverse local field enhancements, which may be conducive or detrimental to concentrate light and heat for self-limiting welding (Ding et al., 2016, 2017). Multi-interface plasmon-coupling in metal-semiconductor core-shell structure has been prepared by thermoplasmonic welding with semiconductors as spacer material (Liu and Xue, 2021). Compared with NP contact, this strategy provides a large hotspot volume covering the whole semiconductor spacer by the strong plasmon-coupling between the metal NP core and the decorative metal NP on the semiconductor shell (Alkurdi et al., 2020; Hardiansyah et al., 2015) Future work using thermoplasmonic welding may allow other new applications in biology, aerospace, and other fields such as self-powered window displays or touch-sensitive screen at a very low cost. With the deepening of our understanding on thermoplasmonic welding, we believe that this technology would inspire new translation into the manufacturing field toward a better future.
Authors: Hugh H Richardson; Zackary N Hickman; Alexander O Govorov; Alyssa C Thomas; Wei Zhang; Martin E Kordesch Journal: Nano Lett Date: 2006-04 Impact factor: 11.189
Authors: Ravishankar Sundararaman; Prineha Narang; Adam S Jermyn; William A Goddard; Harry A Atwater Journal: Nat Commun Date: 2014-12-16 Impact factor: 14.919