Publications

Holm, Elizabeth A.; Tikare, Veena T.; Plimpton, Steven J.

Abstract not provided.

Madison, Jonathan D.; Tikare, Veena T.; Holm, Elizabeth A.; Plimpton, Steven J.

Abstract not provided.

Plimpton, Steven J.; Battaile, Corbett C.; Chandross, M.; Holm, Elizabeth A.; Thompson, Aidan P.; Tikare, Veena T.; Webb, Edmund B.; Zhou, Xiaowang Z.

The kinetic Monte Carlo method and its variants are powerful tools for modeling materials at the mesoscale, meaning at length and time scales in between the atomic and continuum. We have completed a 3 year LDRD project with the goal of developing a parallel kinetic Monte Carlo capability and applying it to materials modeling problems of interest to Sandia. In this report we give an overview of the methods and algorithms developed, and describe our new open-source code called SPPARKS, for Stochastic Parallel PARticle Kinetic Simulator. We also highlight the development of several Monte Carlo models in SPPARKS for specific materials modeling applications, including grain growth, bubble formation, diffusion in nanoporous materials, defect formation in erbium hydrides, and surface growth and evolution.

Proposed for publication in Nature Materials.

Janssens, Koenraad G.; Holm, Elizabeth A.; Foiles, Stephen M.; Plimpton, Steven J.

As current experimental and simulation methods cannot determine the mobility of flat boundaries across the large misorientation phase space, we have developed a computational method for imposing an artificial driving force on boundaries. In a molecular dynamics simulation, this allows us to go beyond the inherent timescale restrictions of the technique and induce non-negligible motion in flat boundaries of arbitrary misorientation. For different series of symmetric boundaries, we find both expected and unexpected results. In general, mobility increases as the grain boundary plane deviates from (111), but high-coincidence and low-angle boundaries represent special cases. These results agree with and enrich experimental observations.

Proposed for publication in Nature Materials.

Janssens, Koenraad G.; Holm, Elizabeth A.; Foiles, Stephen M.; Plimpton, Steven J.

Abstract not provided.

Holm, Elizabeth A.; Wellman, Gerald W.; Battaile, Corbett C.; Buchheit, Thomas E.; Fang, H.E.; Rintoul, Mark D.; Glass, Sarah J.; Knorovsky, Gerald A.; Neilsen, Michael K.

Computational materials simulations have traditionally focused on individual phenomena: grain growth, crack propagation, plastic flow, etc. However, real materials behavior results from a complex interplay between phenomena. In this project, the authors explored methods for coupling mesoscale simulations of microstructural evolution and micromechanical response. In one case, massively parallel (MP) simulations for grain evolution and microcracking in alumina stronglink materials were dynamically coupled. In the other, codes for domain coarsening and plastic deformation in CuSi braze alloys were iteratively linked. this program provided the first comparison of two promising ways to integrate mesoscale computer codes. Coupled microstructural/micromechanical codes were applied to experimentally observed microstructures for the first time. In addition to the coupled codes, this project developed a suite of new computational capabilities (PARGRAIN, GLAD, OOF, MPM, polycrystal plasticity, front tracking). The problem of plasticity length scale in continuum calculations was recognized and a solution strategy was developed. The simulations were experimentally validated on stockpile materials.