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20192021
most citedA Novel Approach to Describe Chemical Environments in High Dimensional Neural Network Potentials

49 citations · 64 across the 5 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

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cond-mat.mtrl-sci2021

A constant of motion for ideal grain growth in three dimensions

Erdem Eren, Jeremy Kyle Mason

Most metallic and ceramic materials are comprised of a space-filling collection of crystalline grains separated by grain boundaries. While this grain structure has been studied for…

cond-mat.mtrl-sci2021

Topological transitions during grain growth on a finite element mesh

Erdem Eren, Jeremy K. Mason

The topological transitions that occur to the grain boundary network during grain growth in a material with uniform grain boundary energies are believed to be known. The same is no…

cond-mat.mtrl-sci2020

Classification of atomic environments via the Gromov-Wasserstein distance

Sakura Kawano, Jeremy K. Mason

Interpreting molecular dynamics simulations usually involves automated classification of local atomic environments to identify regions of interest. Existing approaches are generall…

cond-mat.mtrl-sci202012 cited

Distribution of Topological Types in Grain-Growth Microstructures

Emanuel A. Lazar, Jeremy K. Mason, Robert D. MacPherson +1

An open question in studying normal grain growth concerns the asymptotic state to which microstructures converge. In particular, the distribution of grain topologies is unknown. We…

cond-mat.mtrl-sci20193 cited

Basis functions on the grain boundary space: Theory

Jeremy K. Mason, Srikanth Patala

With the increasing availability of experimental and computational data concerning the properties and distribution of grain boundaries in polycrystalline materials, there is a corr…