Structural changes of Ni-Au core-shell nanoparticles with increasing temperature are studied at atomic resolution. The bimetallic clusters, synthesized in superfluid helium droplets, show a centralized Ni core, which is an intrinsic feature of the growth process inside helium. After deposition on SiN x , the nanoparticles undergo a programmed temperature treatment in vacuum combined with an in situ transmission electron microscopy study of structural changes. We observe not only full alloying far below the actual melting temperature, but also a significantly higher stability of core-shell structures with decentralized Ni cores. Explanations are provided by large-scale molecular dynamics simulations on model structures consisting of up to 3000 metal atoms. Two entirely different diffusion processes can be identified for both types of core-shell structures, strikingly illustrating how localized, atomic features can still dictate the overall behavior of a nanometer-sized particle.
Structural changes of Ni-Au core-shell nanoparticles with increasing temperature are studied at atomic resolution. The bimetallic clusters, synthesized in superfluid helium droplets, show a centralized Ni core, which is an intrinsic feature of the growth process inside helium. After deposition on SiN x , the nanoparticles undergo a programmed temperature treatment in vacuum combined with an in situ transmission electron microscopy study of structural changes. We observe not only full alloying far below the actual melting temperature, but also a significantly higher stability of core-shell structures with decentralized Ni cores. Explanations are provided by large-scale molecular dynamics simulations on model structures consisting of up to 3000 metal atoms. Two entirely different diffusion processes can be identified for both types of core-shell structures, strikingly illustrating how localized, atomic features can still dictate the overall behavior of a nanometer-sized particle.
Bimetallic
systems at the nanoscale level have recently received
increased attention as the combination of intermetallic interactions
and surface size effects can trigger unexpected physical behavior
and new phenomena (see, e.g., ref (1) for a recent review). Potential applications
cover a wide range of different fields, including biomedical applications,[2−6] optics,[7−10] heterogeneous catalysis,[11−14] electrochemistry,[15] and
electronics.[15,16] Additionally, magnetic core nanoparticles
have been suggested for the activation of stem cells,[17,18] as enhancers of supercapacitors[19] or
for the optomagnetic fine-tuning of semiconductors.[20]Bimetallic nanoparticles which combine magnetic and
noble metals
are particularly interesting for special physicochemical applications.[21] Our research on the Ni–Au system is partly
motivated by the fact that optical, catalytic and photocatalytic properties
of gold nanoparticles can be tuned via the insertion of a magnetic
Ni core, for example, for a magnetic-field-induced synthesis of wire-like
structures.[22] An additional handle on positional
control could also become relevant for the 3D-printing of nanostructures.[23] Magnetic nanoparticles and external fields have
further been used to target biomolecules, and multifunctional plasmonic-shell
magnetic-core nanoparticles are being successfully applied for diagnosis,
isolation, and photothermal destruction of cancer cells.[5] Sensitive sensing devices in human serum have
been built using Ni–Au core–shell nanoparticles.[6] However, the specific activity of a core–shell
nanoparticle is related to the actual position of its core, and its
structural integrity is compromised at elevated temperatures due to
the onset of diffusion/alloying processes. Therefore, it is necessary
to understand the correlation between the magnetic core location and
the structural stability of the particle upon heating.For the
synthesis of nanoparticles a variety of methods are currently
being exploited. Among them, wet chemistry methods are the most common,
but also techniques such as laser ablation synthesis[24] are applied in some cases. An interesting alternative to
these standard methods is the usage of superfluid helium nanodroplets
as containers for a fully inert, controlled synthesis of mixed-metallic
nanoparticles. This is achieved via a sequential pickup of metallic
atoms by helium droplets created in the process of a supersonic expansion
of helium through a cooled nozzle. Because of the extremely low helium
temperature of 0.37 K[25] and the practically
inert environment provided by the droplets it is possible to synthesize
metallic nanoparticles with arbitrary core–shell or onion-type
structures. The low temperature of the droplets even enables the synthesis
of particles in metastable structures, as metallic systems can be
trapped in the desired local minimum during growth. Recently, we took
advantage of this feature and produced Ni–Au core–shell
particles where the highly reactive Ni core is protected by a few
layers of gold.[26] While this previous work
had its focus set on the avoidance of Ni-oxidation by a protective
layer of gold, the current study investigates the structural behavior
of a bimetallic system at the nanoscale in greater detail.We
demonstrate that it is indeed possible to synthesize bimetallic
nanoparticles in a local minimum structure, deposit them on a substrate,
and observe their relaxation to the global minimum structure in situ.
In terms of experimental effort, this objective is rather challenging:
any presence of oxygen during heating after deposition must be avoided
at all cost as it would lead to an inevitable chemical reaction of
diffusing Ni atoms with oxygen on the particle surface.[26] We show that for Ni–Au core–shell
particles in the nanometer range a fully centered position of the
Ni core within a gold shell, a structure intrinsic to the pickup-mediated
growth process inside the helium nanodroplets, experiences a faster
transition toward a fully alloyed or mixed state than their decentralized
counterparts. We also demonstrate that in contrast to surface studies
of island growth at room temperature,[27] the nanoparticles remain intact until the alloying temperature is
reached.Concerning the theoretical treatment of structural
changes in nanoparticles,
two diametrically opposed approaches can be distinguished. One is
to employ top-down models such as the CALPHAD method,[28] which extends to well-known bulk models by additional surface
terms in order to handle the increasingly important surface size effects
emerging at small scales. Very recently, a bond-centric model has
been developed specifically for the description of monometallic and
bimetallic nanoparticles, addressing the energetics in massive nanoalloy
structures.[29] The alternative is bottom-up
approaches, which aim for a basic understanding at the atomic level
via molecular dynamics (MD) simulations.[30−34] In this article, we employ a force field-based bottom-up
approach in order to interpret and understand the results of our in
situ heating experiments.
Materials and Methods
Nanoparticle Synthesis
Superfluid
He nanodroplets serving as “nanolabs” are used to synthesize
the desired Ni–Au particles via sequential pickup of different
metal atom species. For a more detailed description we refer to the
previous publications.[35,36]High purity He (99.9999%)
at a pressure of 20 bar is expanded through a 5 μm nozzle at
7 K in vacuum. This expansion process results in the formation of
superfluid He droplets containing an average number of 107 He atoms.[37] These droplets are then sequentially
doped when passing through two resistively heated pickup cells, containing
Ni and Au. By varying the individual vapor pressures, the amount of
doped metal atoms can be adjusted. This way, the droplet first gets
doped with Ni, resulting in the formation of a spherical Ni cluster,
which is then coated by layers of gold atoms while passing through
the second pickup cell. Using this technique, it is possible to synthesize
any desired core–shell combination in the core–shell
configuration requested. The cluster sizes are log-normally distributed
with an average diameter of d = 6.2
nm and a log-normal standard deviation of 1.3 nm.
A Ni/Au ratio of 3:7 has been chosen for the experiment in order to
obtain perfect conditions for a complete coating in the particle size
regime between 2 and 10 nm. More than 90% of the synthesized structures
show the desired Ni–Au
core–shell structure. The rest is formed by Au clusters, most
likely with traces of Ni below our detection efficiency. Note that
our method of production in helium does not emphasize the appearance
of “magical” numbers, as there is no selective mechanism
with regard to stability involved. The release of binding and kinetic
energy from the metal atoms throughout the cluster formation process
results in the partial evaporation of the helium droplet. This reduction
in the droplet size is monitored via a residual gas analyzer (Balzer
QMA 200/QME 200). Finally, the beam is terminated on a heatable transmission
electron microscopy (TEM) grid (DENSsolutions Nano-Chip XT SiN), where
the clusters are deposited by a soft-landing process in which the
excess helium is vaporized.[38−41]
Electron Microscopy Characterization
A probe corrected FEI Titan3 G2 60-300 is used to record
high angle annular dark-field images of temperature-induced restructuring
processes. Elemental analysis was carried out with a four-quadrant
energy-dispersive X-ray spectroscopy detector and a Gatan Quantum
energy filter for electron energy loss spectroscopy.
Computational Details
All MD simulations
have been performed using the large-scale atomic/molecular massively
parallel simulation (LAMMPS) package.[42] Newton’s equations of motion have been solved through numeric
integration via the velocity Verlet algorithm,[43] with time steps ranging from 1.0 to 3.0 fs.A potential
based on the embedded atom method (EAM) reported by Zhou et al.[44] for Ni–Au alloys has been used to describe
all pair interactions. The EAM potential includes contributions for
the embedding of each metal atom in the surrounding metal atoms. Therefore,
it is expected to be more sensitive to surface nanoparticle effects
than other additive pairwise interatomic potentials.The dynamic
range of solid Au and Ni indicates that a time step
within the range of 3–5 fs would be acceptable. However, it
is recommended that a smaller time step of about 1 fs is used instead
when surface effects and initial instabilities are expected to appear,
in particular at the initial steps of the simulation. For comparison,
very recent state-of-the-art MD simulations on nickel and gold nanoparticles
used a time step of 2 fs.[45,46]
Results and Discussion
In ref (26) we discussed
the interplay between oxygen presence and enhanced, temperature-induced,
atomistic diffusion of Ni–Au core–shell clusters. We
could demonstrate that even small traces of oxygen can completely
dominate the outcome of the experiment, resulting in the core–shell
inversion in Ni–Au to Au–NiO. As a consequence, studies
of the unperturbed Ni–Au phase diagram at the nanoscale require
an entirely oxygen-free atmosphere throughout all measurements. We
start with a description of the experimental observations under these
conditions in our attempt to cover the alloying, spinodal decomposition
(SD) and demixing effects at high temperatures. In the second part,
we use the LAMMPS suite of programs for MD simulations of the alloying
process in a solid phase by looking at mixing rates and as a function
of initial composition at elevated temperatures.
Experimental
Observations
An overview
of all reversible and irreversible processes covered in this article
is provided in Figure , together with the corresponding scanning TEM (STEM) images taken
at various temperatures. For the sake of completeness, we have also
added results from our previous studies on Ni–Au oxidation
ref (26) to further
illustrate the impact of oxygen.
Figure 1
Temperature-induced structural transitions
in Ni–Au core–shell
nanoparticles with diameters in a nanometer range in a symbolic representation
(left) and as visualized by STEM imaging (right). The temperatures T0, T1 correspond
to 25 and 400 °C and t1 and t2 correspond to 10 min and 12 h, respectively.
Note that even in clusters with a decentralized arrangement, the Ni
core remains protected by a layer of Au.
Temperature-induced structural transitions
in Ni–Au core–shell
nanoparticles with diameters in a nanometer range in a symbolic representation
(left) and as visualized by STEM imaging (right). The temperatures T0, T1 correspond
to 25 and 400 °C and t1 and t2 correspond to 10 min and 12 h, respectively.
Note that even in clusters with a decentralized arrangement, the Ni
core remains protected by a layer of Au.Starting from centralized core–shell structures (CC) in
the upper left corner, synthesized as described in Section , several pathways are possible
regarding structural conversion. Within 4 s the temperature of the grid was
increased from room temperature
to 400 °C. At this temperature, the system forms an alloy (All)
within the scanning time of approximately 1 min. This alloyed structure
remains alloyed and no traces of oxidation are found over the following
observation time of 4 h. To prevent Ni-oxidation, we use SiN grids as an alternative to the widely used amorphous
carbon supports in order to reduce the amount of molecular oxygen
adsorption and operate with steep heating ramps to quickly reach temperatures
where the adsorption of oxygen from the microscope vacuum is decreased.
However, if a sufficiently large electron beam dose is applied to
the cluster, a spontaneous demixing occurs due to a selective enhancement
of Au atomic mobility inside the cluster. The necessary dosage is
inversely proportional to the actual cluster temperature; a separate
study has been dedicated to analyze this effect.[47] At a temperature of 400°C an electron dose of 2 ×
1010 electrons is required to trigger such a phase separation
which leads to a decentralized Ni–Au core–shell cluster
(DC). In the latter, the Ni core is typically residing in a sub-surface
position, still embedded underneath a protective layer of Au atoms.
This configuration seems to be a more stable minimum energy structure
of the NiAu system, as neither continued heating up to melting temperature
nor a cooling down of the particles to room temperature again is affecting
the decentralized core–shell structure within the observation
times of about 1 h. Note that all of these structural changes appear
in the solid phase, as can be derived from the clearly visible lattice
structures in the STEM images in Figure .A different pathway is observed if
an alloyed structure (All),
obtained by heating of a centralized core–shell particle to 400 °C, is allowed to cool down
to room temperature
directly. In this case, SD is observed, which leads to the aggregation
of small Ni particles inside the Au cluster. This interesting structure
also seems to represent a local minimum of the total energy at room
temperature, which is analogous to the centralized Ni core structure,
and is also unstable upon heating as it turns into a fully alloyed
particle at 400 °C.Transitions between three completely
different solid phase structures
can be observed for the NiAu clusters under UHV conditions (5 ×
10–10 mbar). In order to provide representative
statistics, we investigate the phase transitions of more than 100
randomly chosen clusters with either a centralized core–shell
arrangement or a spinodally decomposed structure. Long-time observations
are performed for 28 decentralized clusters. The clusters are log-normally
distributed with an average diameter of d = 6.2 ±
1.3 nm. The following subsections are dedicated to the temperature
behavior of each corresponding structural motive.
Centralized Core–Shell Clusters
Centralized
Ni cores are the standard configuration in which the
clusters are synthesized by the sequential pickup technique, where
exposure to Ni vapor is followed by exposure to Au vapor. The synthesis
conditions (droplet size, and vapor pressure of metals) are set to
single-center growth; see Section for further details. The Ni core is fully encapsulated
in a shell of Au, which would prevent it from oxidation even if exposed
to ambient air. The structural rearrangements of the deposited clusters
at elevated temperature are illustrated in Figure . Upon increasing the temperature, the mobility
also increases, resulting in the intermixing of the two metal species
at a temperature of around 400°C. We note that in this temperature
range the danger of undesired oxidation is largest due to the thermally
enhanced mobility of the Ni atoms and the inevitable traces of oxygen
produced during electron microscopy scans. In order to minimize the
risk of Ni-oxidation, we use SiN chips
as supports, which reduce the hydrocarbon background drastically in
comparison to substrates based on amorphous carbon. Additionally,
we employ a very steep heating ramp (see the Supporting Information) from room temperature to 400°C in 4 s in
order to minimize the exposure time of the clusters to any oxygen
present in the microscope vacuum (10–8 mbar) or
adsorbed at the grid. After alloy formation, the cluster remains in
this mixed, solid structure until it undergoes a first order phase
transition into the liquid state.
Figure 2
Thermal evolution of an initially centralized
core–shell
cluster. (a) room temperature, (b) 400°C, and (c) 700°C.
Thermal evolution of an initially centralized
core–shell
cluster. (a) room temperature, (b) 400°C, and (c) 700°C.
Spinodally Decomposed Clusters
SD
becomes visible when performing an in-chamber heating to temperatures
above 300°C, keeping this temperature constant for about 30 min,
followed by a final cooling of the sample back to room temperature.
Reduced mobility in this final step typically results in the formation
of several smaller Ni agglomerates embedded in a Au matrix (see Figure ). It can be assumed
that the system gets trapped in local minimum structures with energies
above that of the decentralized Ni core. However, the experiment does
not answer whether the multi-centered structure is lower or higher
in energy than a centralized Ni core. Upon increasing the temperature,
spinodally decomposed NiAu structures undergo the same pathway as
the initially centralized core–shell clusters by forming an
alloy at about 400°C.
Figure 3
Evolution of spinodally decomposed clusters
at elevated temperatures.
Similar to centralized clusters, they form an alloy at 400°C.
Evolution of spinodally decomposed clusters
at elevated temperatures.
Similar to centralized clusters, they form an alloy at 400°C.
Decentralized Core–Shell
Clusters
Our experiments indicate that a decentralized position
of the Ni
core corresponds to a more thermally stable structure for nanometer-sized
NiAu clusters in the solid phase. A closer investigation of the typical
Ni core positions and shapes in this “final” configuration
suggests that a single agglomeration of Ni directly under a facet
of the Au shell is the most feasible structural motive. While a centralized
core structure becomes mixed within a minute at 400 °C, a decentralized
cluster is observed to be stable for several hours, exceeding the
standard measurement time. In order to determine whether entropy or
inner energy dominates the final configuration, we synthesized a total
number of 28 decentralized clusters “on the fly” by
electron beam exposure at 700°C, where the intrinsic electron
dosage applied by STEM is sufficient to induce the desired structural
changes almost immediately, and keep them at 450°C for 12 h without
further manipulation. After that, a final STEM examination is performed.
This final investigation confirms that also decentralized clusters
are metastable as they end up in a mixed state with entropy at its
maximum. From this outcome we conclude that, independent of the initial
configuration, alloying takes place at temperatures above 300°C.
However, the time required for this transition to take place is strongly
dependent on the initial configuration of the bimetallic cluster.
As shown in Figure , a random group of three initially decentralized core–shell
clusters is kept at 450°C for 12 h.
Figure 4
Example transformations
from decentralized core–shell structures
to mixed clusters, visualized by a comparison of STEM images taken
before and after 12 h at 450°C.
Example transformations
from decentralized core–shell structures
to mixed clusters, visualized by a comparison of STEM images taken
before and after 12 h at 450°C.
MD Simulations
To reproduce realistic
experimental conditions we have performed large-scale atomistic simulations
relying on the EAM[44] to describe inter-atomic
interactions. As a reasonable representative of the experimental cluster
size distribution (2–10 nm) and metal donation ratio (3:7),
we build a core–shell model system from 900 Ni and 2100 Au
atoms, which yields a nanoparticle with a diameter of about 5 nm. An even larger nanoparticle
composed of 6266
atoms has been simulated as well in order to test for size dependencies.
Synthesis of Model Nanoparticles
In order to obtain
nanoparticles with geometries as close as possible
to the outcome of the assumed growth process inside the helium matrix,[48,49] we proceed in a two-step fashion: first, a Ni core of 900 atoms
is allowed to fully relax. Then, a shell of Au atoms is added to the
system and allowed to structurally relax while the Ni structure is
kept frozen. This procedure takes into account that the actual synthesis
inside the He droplet is considered to take place “atom by
atom”. In other words, at the time when the droplet arrives
the second pickup and starts to collect Au atoms, a Ni core in a minimum
energy configuration can be assumed inside the He droplet.In
our “virtual” synthesis, 900 Ni atoms are randomly located
inside a sphere with a radius of 14.0 Å and cooled down using
a Berendsen thermostat at 0.001 K, allowing a maximum atomic displacement
of 0.01 Å. The value of 14 Å is consistent with an estimate
of the Ni core diameter d following the relationship d [nm] = 31.72–282.85 N–1/3 as
suggested in ref (45), resulting in a value of about 24 Å for a structure containing
900 Ni atoms. Next, an annealing procedure is applied, where the Ni
nanoparticle is heated up to 900 K and kept at this temperature for
5 ns. Then, the nanoparticle was cooled down again to 0.4 K, resulting
in its crystallization. The addition of the 2100 Au atoms follows
a similar approach. First, they are randomly localized in a spherical
shell with an internal (external) radius of 14 Å (24 Å)
around the Ni core. Second, the same heating and annealing procedure
described is performed as above, allowing the Au2100 shell
to crystallize as well, while the geometry of the Ni core is kept
frozen.
Dynamics at Elevated Temperatures
Both the centralized and the decentralized Ni900Au2100 nanoparticles were heated to 300 K in 0.5 ns (i.e., applying
a heating rate ΔT/Δt of 6 × 1010 K s–1). Using a Langevin
thermostat, the temperature of 300 K was kept for 5 ns. Next, the
nanoparticles were heated by increasing the temperature in steps of
50 K within 0.5 ns (i.e., with a heating rate of 5 × 109 K s–1). Each value of the temperature was then
kept fixed for 5 ns before further heating, until a final value of
750 K was reached. The first signal of the diffusion of Ni atoms was
observed at 550 K.Next, the nanoparticle was heated up to 900
K in 0.5 ns, keeping this value of the temperature during 5 ns. Then,
the time step of the simulation was set to 2 fs for 245.5 ns. Finally,
the time step was increased to 3 fs, and the temperature of the nanoparticle
was kept at 900 K for 186.5 ns. This procedure allowed us to test
if the time step of 3 fs was still small enough to avoid the appearance
of instabilities or abrupt changes in the behavior of the nanoparticle.
After confirming that a time step of 3 fs can be applied, this value
was used in the last steps of the simulation, allowing us to study
long-time diffusion processes on timescales of several hundred ns.
Comparison between CC and DC Dynamics
At 900 K, the diffusion process is fast enough to be studied via
MD simulations. To analyze this behavior, we found the average Ni
atom radial distance from the center-of-mass to be the most suitable
parameter for modelling. The simulations were carried out for both
the model particles, consisting of 3000 and 6266 atoms, respectively.
Both the cluster models show the same interesting behavior: while
a decentralized Ni cluster has a higher overall diffusion, a centralized
cluster exhibits a larger radial diffusion toward a fully intermixed
state. As can be seen in Figure (see also Figure S10 of the Supporting Information), the diffusion of the decentralized Ni cores is
mainly limited to subsurface positions, which leaves the remaining
Au cluster intact, resulting in a slower convergence toward a fully
intermixed bimetallic cluster. In contrast, for the centralized Ni
cores, the nickel atoms diffuse radially through the gold shell toward
the subsurface region in the centralized nanoparticle.
Figure 5
Simulation snapshots
of a nanoparticle consisting of 6266 atoms,
showing the different diffusion processes of Ni atoms through the
Au shell observed in centralized (a) and decentralized (b) nanoparticles
at 900 K, taken after 216 ns (see also Figure S10 of the Supporting Information).
Simulation snapshots
of a nanoparticle consisting of 6266 atoms,
showing the different diffusion processes of Ni atoms through the
Au shell observed in centralized (a) and decentralized (b) nanoparticles
at 900 K, taken after 216 ns (see also Figure S10 of the Supporting Information).To try to understand this remarkable behavior, we have calculated
the average displacement distance Δd(t),as well as the
radial displacement Δr(t)with r⃗Ni(t) denoting the position of Ni atom j at time t. It is found that the radial
diffusion
(see the right graph in Figure ) for a centralized cluster behaves exponentially, as expected.
On average, the Ni atoms changed their radial position by 2 Å after 250 ns. For a decentralized
cluster,
it can be seen that the change in the radial distance after 250 ns
hardly happens at all.
Figure 6
Average overall diffusion distance Δd (left)
and radial diffusion distance Δr (right) of
Ni atoms in a decentralized (red) and centralized (blue) cluster,
plotted as a function of time.
Average overall diffusion distance Δd (left)
and radial diffusion distance Δr (right) of
Ni atoms in a decentralized (red) and centralized (blue) cluster,
plotted as a function of time.In addition, we found that the diffusion of Ni atoms in decentralized
clusters is mostly limited to the positions below the surface. This
phenomenon is caused by the reduced lattice mismatch underneath the
surface. The average change in absolute distance Δd after 250 ns for the decentralized cluster is 10 Å in comparison
to 5.5 Å for a centralized core (see the left graph in Figure ). Furthermore, we
observed that the energetic “cost” of placing the Ni
atoms at the surface is rather high in comparison with placing a Au
atom at the surface. The energetic “gain” of exchanging
one Ni atom from the surface to a subsurface position is about 0.2
eV higher than the energetic “gain” when transferring
a Au atom from the surface to a subsurface position. This is analyzed
in greater detail in the Supporting Information. A similar interplay between bulk, surface, and strain effects and
their impact on the morphology of a bimetallic nanoparticle has recently
been discussed for the closely related CuAg system.[30] In this theoretical study of Rahm and Erhart, the segregation
of the two metals is strongly influenced by local lattice strain.
Agglomerations of Cu are preferred at regions of high lattice strain
in the Ag matrix. Depending on the shape of the nanoparticle, this
can be either in the center of the metal cluster or at a subsurface
position. Our findings regarding Ni diffusion in a Au matrix fit nicely
to these predicted lattice strain tendencies.Another scenario
may be the SD of the alloyed system. The earliest
findings in this direction have been revealed by Nelli and Ferrando
in a very recent work.[50] However, note
that our systems are about 10 times larger than those treated in ref (50). Due to the computational
effort, which increases with the 2nd power of the system
size at least, combined with the necessity of even smaller timesteps
due to the lower temperature, a simulation of spinodal demixing is
currently beyond our reach.
Conclusions
Irrespective of the future usage of bimetallic core–shell
nanoparticles, for example, for medical, optical or chemical purposes,
it is clear that the structural integrity of the layers, also at higher
temperatures, is a knockout criterion for any planned industrial application.Taking advantage of the He-mediated synthesis of mixed-metallic
structures in combination with meticulously controlled electron beam
dosage after particle deposition, we were able to prepare NiAu core–shell
samples in different geometries for a follow-up study of their structural
stability at higher temperatures. Comparing centralized Ni-cores,
decentralized Ni-cores and spinodally decomposed Ni-cores, we found
that these differences in the initial geometries have a tremendous
impact on intermetallic diffusion behavior and therefore, affect the
times for an inevitable alloying at higher temperatures. We were able
to confirm that, starting at a temperature of 300°C, all the
initially separated structures undergo a transition toward a fully
alloyed state. The lower alloying temperature for Ni–Au nanoparticles
in comparison to the bulk materials confirms the predictions made
via the CALPHAD approach (see the Supporting Information).[28] However, an analysis of structural
changes via TEM image reveals that clusters featuring a decentralized
core possess a pronounced structural integrity, which we link to a
different diffusion behavior. From computationally costly large-scale
MD simulations over several hundred nanoseconds, we conclude that
a decentralized core affects the overall structure of the particle
in a way which promotes diffusion processes along the intermetallic
interface but quenches atomic intermixing along the radial coordinate.
In the concrete case, this subtle change in the diffusion mechanism
leads to an extension of the alloying times by 2 orders of magnitude.
Depending on the actual position of the Ni core, lattice strain appears
to be distributed differently; while a central position seems to increase
Ni mobility throughout the cluster, a decentralized core position,
where the Ni core is located at a subsurface position, shows less
pronounced diffusion tendencies which also remain mostly within the
subsurface region of the cluster. This indicates that the inclusion
of Ni atoms near the surface (but not at the surface) allows for an
effective compensation of lattice strain which stems from the finiteness
of the nanoparticle.
Authors: Philipp Thaler; Alexander Volk; Daniel Knez; Florian Lackner; Georg Haberfehlner; Johannes Steurer; Martin Schnedlitz; Wolfgang E Ernst Journal: J Chem Phys Date: 2015-10-07 Impact factor: 3.488
Authors: Alexander Volk; Philipp Thaler; Markus Koch; Evelin Fisslthaler; Werner Grogger; Wolfgang E Ernst Journal: J Chem Phys Date: 2013-06-07 Impact factor: 3.488
Authors: Georg Haberfehlner; Philipp Thaler; Daniel Knez; Alexander Volk; Ferdinand Hofer; Wolfgang E Ernst; Gerald Kothleitner Journal: Nat Commun Date: 2015-10-28 Impact factor: 14.919