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Electrostrictive Cavitation in Water Induced by a SnO2 Nanoparticle.

Shane Jackson1, Aiichiro Nakano1, Priya Vashishta1, Rajiv K Kalia1.   

Abstract

Cavitation phenomenon in dielectric fluids has been a recent topic of interest in theory and experiment. We study a dielectric fluid-nanoparticle system subjected to an external electric field using molecular dynamics simulations. Electric fields ranging from 0.042 to 0.25 V/Å are applied to a water and tin dioxide system. Cavitation is observed in simulations with both SPC/E water and the hydrogen bonding polarizable model. The cavitation onset time displays a stretched exponential relaxation response with respect to the applied electric field with an exponent β = 0.423 ± 0.08. This is in accordance with the exact theoretical value for systems with long-ranged forces. Cavity growth rates are divided into two phases, a spherical growth phase and a cylindrical one. Both are reported as a function of the applied electric field. The structure of the electric field is analyzed both spatially and temporally.
Copyright © 2019 American Chemical Society.

Entities:  

Year:  2019        PMID: 31909310      PMCID: PMC6941173          DOI: 10.1021/acsomega.9b00979

Source DB:  PubMed          Journal:  ACS Omega        ISSN: 2470-1343


Introduction

The formation and use of cavities within fluids are rich areas of research and practical applications. Nanobubbles have been used for water treatment, aiding fermentation, and targeted delivery of pharmaceuticals.[1,2] The water jets formed from collapsing nanobubbles can cause structural damage and erosion to important components and, more productively, aid in manufacturing materials.[3] Bubble collapse-induced sonoluminescence has been observed.[4] Typically, cavities arise in the form of gaseous bubbles; however, in this paper, the formation of cavities due to electrostrictive forces will be discussed. Cavity formation due to negative pressure in water has been the subject of experimental and theoretical work.[5,6] According to the classic nucleation theory, the energy required to generate a spherical void of radius R in a fluid with surface tension σ and pressure P is equal to[7] The term for the cavity’s internal vapor pressure has been excluded as the cavities discussed in this paper have a negligible vapor pressure compared to the internal fluid pressure. Equation implies, for negative pressures, the existence of a critical radius above which it will be energetically favorable for the cavity to continue to grow. Negative pressure can be induced in water (or any dielectric fluid) through the application of a spatially inhomogeneous external applied electric field. This induced negative pressure in a dielectric fluid is given bywhere ϵ0 is the vacuum permittivity, ϵ is the dielectric constant of the liquid media, E is the applied electric field, and α is a constant that ranges between 1.3 and 1.5 for most polar liquids.[8] Negative pressure in water has been measured through the Berthelot method with pressures ranging from −3.4 to −12 MPa across temperatures ranging from 275 to 300 K; however, the accuracy of these results has been questioned.[9] Negative pressures exceeding −100 MPa were achieved using water inclusions in quartz;[10] however, in the studies done by Green et al.,[11] each inclusion was only studied a few times or even only once. A better understanding of a cavity formation statistics was provided by Azouzi et al.[5] in which a single inclusion was studied repeatedly. Direct observation of cavities through Rayleigh scattering has been proposed, but to date, no experiments have been carried out.[12] The Shneider, Pekker, and Fridman theory of void formation has been experimentally verified.[12] Water subjected to pulses with rise times of 600 ps to 3 ns were found to generate nanocavities through electrostrictive forces.[13] Cavitation did not occur with longer rise times as the liquid had sufficient time to respond to the forces without rupturing. The theoretical explanation of cavity formation in the presence of a strong, inhomogeneous electric field is found in the work of Shneider and Pekker.[6] The previous theoretical work cited above has shown the genesis of cavities when a spatially inhomogeneous external field is applied; however, through molecular dynamic simulations, we have witnessed the formation of cavities in water subjected to a spatially constant applied electric field. Inhomogeneities in the local electric field occur due to the presence of the tin dioxide nanoparticle. This phenomenon, in turn, leads to void cavitation formation. Simulations of a 1.5 nm SnO2 nanoparticle immersed in water were performed using LAMMPS (https://lammps.sandia.gov/index.html).[14−16] Electric fields ranging from 0.042 to 0.25 V/Å were applied along the x axis. While the simulated electric field strengths are quite high, water has been experimentally subjected to electric fields between 0.1 and 0.5 V/Å using electrode tips on the order of hundreds of nanometers.[17]

Results and Discussion

The local electric field was calculated at the location of each atom by dividing the Coulomb force felt by the atom by the atomic charge. After the initial application of the electric field (occurs over 1 fs), the average x component of the effective electric field rapidly increased until it reached a saturation value (Figure a). We have defined the saturation time ts to be the time required for the effective electric field to reach 95% of its maximum value. The average electric field remained stable with oscillations of at most 5% for tp < t < tonset. The changes in the electric field near the onset of cavitation will be discussed below. The saturation value decreased (Figure b), and the pulse time increased exponentially (Figure c) as the applied electric field decreased. The time resolution in these calculations is 1 ps. For Eapp > 0.125 V/Å, a smaller timescale is needed for accurate measurements. The saturation time increases from between 3 and 4 ps for a 0.25 V/Å applied field to 20 ps for the 0.0524 V/Å field. Analysis of the log E versus log tp of the data in Figure yielded a slope of −0.97, which indicates an exponential dependence. The total electric field increased linearly with the applied electric field; however, there was a scaling factor of approximately 3.6. This increase in total electric field strength is attributed to the polarization of the water molecules and resulting dipole moment of the periodic simulation boxes.[18] The effective electric field for a constant applied electric field is given bywhere Edp is the electric field due to the dipole moment of the boxwhere p is the total dipole of the box, the sum is over all dipoles within the box, r is the distance from an individual dipole to the position where E is being measured, and θ is the angle between the dipole and the distance vector between the dipole and measurement point.[19] If we let p = αEapp where α is the effective polarizability of the box, then the effective electric field becomes
Figure 1

Initial magnitude and structure of electric field. (a) Average x component of the electric field versus time for different applied electric field strengths. (b) Time it takes for the electric field to reach 95% of the saturation value. (c) Magnitude of the saturation value for the electric field versus applied electric field. (d) The x dependence of the x component of the electric field at different time steps corresponds to the initial application of the field, the rise, and the saturation for an applied field of 0.125 V/Å.

Initial magnitude and structure of electric field. (a) Average x component of the electric field versus time for different applied electric field strengths. (b) Time it takes for the electric field to reach 95% of the saturation value. (c) Magnitude of the saturation value for the electric field versus applied electric field. (d) The x dependence of the x component of the electric field at different time steps corresponds to the initial application of the field, the rise, and the saturation for an applied field of 0.125 V/Å. Noting that our electric field scales as 3.6 times the applied electric field, the second term in eq must evaluate to 2.6. For steady-state electric fields, the dipole component has been found to be larger than the applied electric field itself, which is in agreement with our results. This would suggest that the dipole relaxation of the water molecules is responsible for the electric field pulses seen in Figure a. Figure d shows the x component of the electric field at t = 0, 1, 5, and 10 ps for Eapp = 0.125 V/Å. From these results, it can be seen that, during this initial pulse, only the magnitude of the electric field changes, while the structure of the electric field does not change. In the absence of a nanoparticle, the pulse occurs on similar timescales (between 3 and 4 ps for 0.25 V/Å); however, cavitation is not observed. This reaffirms that the nanoparticle is required for cavitation in this system. Furthermore, this suggests that alteration of the local electric field is what induces the cavitation. Figure a shows a snapshot of a simulation shortly after cavity genesis. The time of cavitation onset (Tonset) was found to relate to the applied electric field through a stretched exponential relaxation responsewhere E̅ = E/Emax is the electric field divided by the maximum applied electric field (Emax = 0.25 V/Å). The value for β was 0.424 ± 0.09 (Figure ). The value for β was found by plotting log( – log (E̅)) versus log Tonset and finding the weighted line of best fit (Figure b,c). The fitting weights were based on the error associated with each Tonset measurement (±1 ps). These values are very close to the “magic” values found in the stretched exponential response theory.
Figure 2

(a) Snapshot of the system just after cavitation. (b) E̅ versus t: blue markers are the data used to calculate the exponential relaxation coefficient β. The temporal data span an order of magnitude (60 to 635 ps). The red line is the fitted line of best fit. (c) The blue line is the plotted stretched exponential function with β = 0.424 and τ = 134.6 ps.

(a) Snapshot of the system just after cavitation. (b) E̅ versus t: blue markers are the data used to calculate the exponential relaxation coefficient β. The temporal data span an order of magnitude (60 to 635 ps). The red line is the fitted line of best fit. (c) The blue line is the plotted stretched exponential function with β = 0.424 and τ = 134.6 ps. Stretched exponential relaxation has been used to explain relaxation in glasses and dielectrics.[20−22] Across decades of experiments in a wide range of systems, a few magic values for β have arisen. One of the early explanations was the trapping model, in which entropic excitations diffuse freely through the phase space until they reach sinks where they become stuck.[22] The stretched exponential nature then arises as a result of the excitations near the sink being diminished quickly while farther away excitations taking increasing lengths of time due to their distance from the sink. This model predicts a value for β ofwhere d is the dimensionality of the system. Phillips,[22] using the wealth of experimental data, proposed an axiomatic model with the axiomwhere d* = fd, and f is the number of short range forces available for relaxation divided by the number of long-ranged forces. A topological justification of this model can be found in ref (23). For a system such as the one studied in this paper with one short-ranged interaction per atom type (Lennard–Jones/Buckingham) and one long-ranged force (the Coulomb force), one would expect f = 1/2, yielding β = 3/7. Further discussion on the interpretation of β can be found in the Supporting Information. Figure a–f shows the evolution of the cavity with respect to time for an applied field of 0.042 V/Å. Snapshots shown are from 500, 650, 750, 850, 1000, and 1100 ps. The cavity volume as a function of time is shown for the duration of the simulation in Figure g. Between 500 and 650 ps, the cavity begins to form in front of the nanoparticle. Between approximately 650 and 730 ps, the cavity forms and expands roughly spherically at a rate of approximately 24.7 Å3/ps. The cavity then expands cylindrically at a rate of 92.78 Å3/ps for 150 ps. After the initial sphere phase, the cavity grows in a cigar-like fashion: First, a small tendril of the cavity extends in the direction of the electric field, away from the midpoint of the nanoparticle, and then it expands outward until the segment reaches the same cyclindrical radius as the rest of the cavity. The cavity stabilizes for a period of 90 ps until it continues to grow at a reduced rate of 29 Å3/ps. Between 1050 and 1100 ps, the outermost (from the nanoparticle) segment broke off and collapsed. Yet, in that time span, the overall cavity volume continued to expand. During this new regime, the volume increase comes from an expansion in the radial direction.
Figure 3

Evolution of cavity with an applied 0.42 V/Å electric field. Snapshots at T = (a) 700, (b) 800, (c) 900, (d) 1000, (e) 1050, and (f) 1100 ps. (g) Cavity volume as a function of time with red X’s over the data points corresponding to (a)–(f).

Evolution of cavity with an applied 0.42 V/Å electric field. Snapshots at T = (a) 700, (b) 800, (c) 900, (d) 1000, (e) 1050, and (f) 1100 ps. (g) Cavity volume as a function of time with red X’s over the data points corresponding to (a)–(f). An explanation for the cylindircal growth of the void cavity is found in the literature.[8] The equation for square magnitude of the electric field near a spherical void is given bywith θ donating the angle between r and the external applied electric field Eapp. The volumetric force near the pore (R < r < 2.5R) then becomes[8] Notice that, when θ = 0, which is in line with the external applied electric field, the electric field is minimized and the force is positive (pointing radially outward). As θ increases, the electric field in this region increases and the force becomes less positive until it becomes negative between π/8 and π/4. This would explain the cigar shape found in the simulations. There were two apparent growth phases in cavitation genesis: an initial spherical phase and a longer-lasting cylindrical growth phase. From inspection of Figure , two distinct growth slopes emerge. Generally, both phases grew at increased rates as the electric field strength was increased. The volume growth appears to grow linearly; however, the data are too noisy to determine this definitively. A description of how the void volumes were calculated can be found in the Supporting Information.
Figure 4

Cavity volume analysis. Cavity volume as a function of time for different applied electric fields. In most of the curves, two distinct regions of near-linear growth appear. The first curve corresponds to the spherical growth phase, while the second one corresponds to the cylindrical growth phase.

Cavity volume analysis. Cavity volume as a function of time for different applied electric fields. In most of the curves, two distinct regions of near-linear growth appear. The first curve corresponds to the spherical growth phase, while the second one corresponds to the cylindrical growth phase. The x component of the electric field was calcualted by dividing the Coulomb force by atomic charge for each hydrogen and TIP4P dummy atom of water and each tin and oxygen atom corresponding to tin dioxide (Figure ). The x component of the electric field was averaged and compressed into the y-z plane (Figure a,d,g) and along the x axis (Figure b,e,f). The snapshots were taken from the Eapp = 0.125 V/Å run. The nanoparticle disrupts the otherwise constant electric field, which produces the inhomogeneity required for cavity formation. Once the bubble has formed (t = 100 ps), the average electric field in the water spikes heavily in the plane around the bubble, in agreement with eq , while seeing a slighly reduced electric field near the leftmost edge. The internal electric field strength in the absence of an externally applied electric field has been found to be between 1.5 and 2.5 V/Å[24] with only modest alterations due to a comparatively weaker Eapp. This is in line with the electric field results in Figure .
Figure 5

x component of the electric field at (a–c) 10 ps, (d–f) 40 ps, and (g–i) 100 ps for an applied field of 0.125 V/Å. (a, d, g) Heat map of E averaged over the x axis. (b, e, h) Plot of E versus x position averaged over y and z axes. The red lines show the locations of the edge of the nanoparticle. (c, f, i) Snapshot of the cavity and nanoparticle at a time step under consideration. The electric field spikes in the region around the cavity while decaying as the distance is increased from the cavity.

x component of the electric field at (a–c) 10 ps, (d–f) 40 ps, and (g–i) 100 ps for an applied field of 0.125 V/Å. (a, d, g) Heat map of E averaged over the x axis. (b, e, h) Plot of E versus x position averaged over y and z axes. The red lines show the locations of the edge of the nanoparticle. (c, f, i) Snapshot of the cavity and nanoparticle at a time step under consideration. The electric field spikes in the region around the cavity while decaying as the distance is increased from the cavity.

Summary

We have observed cavitation in MD simulations of a SnO2 nanoparticle immersed in water modeled by SPC/E and the hydrogen bonding polarizable force fields. The results from these simulations describe a general phenomenon. Cavity growth rates indicate spherical and cylindrical growth phases. These growth phases are analyzed as a function of the applied electric field, and the simulation data are consistent with the theoretical calculation for a cigar-shaped cavity near the nanoparticle. A more precise anaylsis of the cavity shape and evolution will be the subject of future work. The cavitation onset time as a function of the applied electric field displays a stretched exponential relaxation response with a universal value for the exponent, β = d*/(d* + 2) = 3/7, for systems with long-ranged forces. Identifying the long timescale value of β provides evidence for the most likely mechanism behind cavitation; that is, the thermally activated cavities diffuse into the main cavity by the nanoparticle. These results can be verified by creating a solution of tin dioxide nanoparticles suspended in water and creating a sufficiently strong electric field through the use of a fast pump laser and observing cavitation with the free electron laser facility at SLAC National Accelerator Laboratory.[25] The Linac Coherent Light Source (LCLS) at SLAC has been used to successfully study fragile proteins[26] and to investigate femtosecond timescale phenomenon.[27] The same techniques could be used to probe our system. Experimental verification of these simulations will provide an interesting direction for further research.

Computational Methods

Cavitation was observed with both SPC water and polarizable water force fields; however, the simulations discussed within this paper were all done with a combination of the SnO2 force field developed by Bandura et al.[7] with the hydrogen bonding polarizable (HBP) water force field.[28] Further details on the force fields can be found in the Supporting Information. Bulk crystal SnO2 was simulated to generate nanoparticles. The equilibrated nanoparticle was then placed into a prepared water box. Finally, the combined system was used to run the electric field simulations described below. All simulations were done using LAMMPS. The default velocity Verlet integrator was used with a time step of 1 fs. Periodic boundary conditions were used in every simulation. The 199,970-atom combined water and nanoparticle system was used at the starting point for the simulations described in this paper. Simulations ran from 100 ps to 1.2 ns. Uniform electric fields ranging from 0.042 to 0.25 V/Å were applied along the x direction. Electric field strengths above 0.25 V/Å were ignored because force fields that can deal with bond breaking such as ReaxFF are required as water will dissociate at such high field strengths. The Ewald summation method was used with tin-foil boundary conditions to calculate the Coulomb force with a maximum relative error in the forces of 1.0 × 10–5.
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1.  Observation of bubble dynamics within luminescent cavitation clouds: Sonoluminescence at the nano-scale.

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3.  Topological derivation of shape exponents for stretched exponential relaxation.

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4.  Liquids at large negative pressures: water at the homogeneous nucleation limit.

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Review 5.  Perspectives on external electric fields in molecular simulation: progress, prospects and challenges.

Authors:  Niall J English; Conor J Waldron
Journal:  Phys Chem Chem Phys       Date:  2015-05-21       Impact factor: 3.676

6.  Nanoflow electrospinning serial femtosecond crystallography.

Authors:  Raymond G Sierra; Hartawan Laksmono; Jan Kern; Rosalie Tran; Johan Hattne; Roberto Alonso-Mori; Benedikt Lassalle-Kaiser; Carina Glöckner; Julia Hellmich; Donald W Schafer; Nathaniel Echols; Richard J Gildea; Ralf W Grosse-Kunstleve; Jonas Sellberg; Trevor A McQueen; Alan R Fry; Marc M Messerschmidt; Alan Miahnahri; M Marvin Seibert; Christina Y Hampton; Dmitri Starodub; N Duane Loh; Dimosthenis Sokaras; Tsu-Chien Weng; Petrus H Zwart; Pieter Glatzel; Despina Milathianaki; William E White; Paul D Adams; Garth J Williams; Sébastien Boutet; Athina Zouni; Johannes Messinger; Nicholas K Sauter; Uwe Bergmann; Junko Yano; Vittal K Yachandra; Michael J Bogan
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2012-10-18

7.  Characteristics of thermal conductivity in classical water models.

Authors:  Timothy W Sirk; Stan Moore; Eugene F Brown
Journal:  J Chem Phys       Date:  2013-02-14       Impact factor: 3.488

8.  Rayleigh scattering on the cavitation region emerging in liquids.

Authors:  M N Shneider; M Pekker
Journal:  Opt Lett       Date:  2016-03-15       Impact factor: 3.776

9.  Simultaneous femtosecond X-ray spectroscopy and diffraction of photosystem II at room temperature.

Authors:  Jan Kern; Roberto Alonso-Mori; Rosalie Tran; Johan Hattne; Richard J Gildea; Nathaniel Echols; Carina Glöckner; Julia Hellmich; Hartawan Laksmono; Raymond G Sierra; Benedikt Lassalle-Kaiser; Sergey Koroidov; Alyssa Lampe; Guangye Han; Sheraz Gul; Dörte Difiore; Despina Milathianaki; Alan R Fry; Alan Miahnahri; Donald W Schafer; Marc Messerschmidt; M Marvin Seibert; Jason E Koglin; Dimosthenis Sokaras; Tsu-Chien Weng; Jonas Sellberg; Matthew J Latimer; Ralf W Grosse-Kunstleve; Petrus H Zwart; William E White; Pieter Glatzel; Paul D Adams; Michael J Bogan; Garth J Williams; Sébastien Boutet; Johannes Messinger; Athina Zouni; Nicholas K Sauter; Vittal K Yachandra; Uwe Bergmann; Junko Yano
Journal:  Science       Date:  2013-02-14       Impact factor: 47.728

10.  Hydrogen-Bonding Polarizable Intermolecular Potential Model for Water.

Authors:  Hao Jiang; Othonas A Moultos; Ioannis G Economou; Athanassios Z Panagiotopoulos
Journal:  J Phys Chem B       Date:  2016-11-22       Impact factor: 2.991

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