activity
20172024
most citedMachine Learning Interatomic Potential for Simulations of Carbon at Extreme Conditions

66 citations · 70 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2024

Extreme Metastability of Diamond and its Transformation to BC8 Post-Diamond Phase of Carbon

Kien Nguyen-Cong, Jonathan T. Willman, Joseph M. Gonzalez +9

Diamond possesses exceptional physical properties due to its remarkably strong carbon-carbon bonding, leading to significant resilience to structural transformations at very high p…

cond-mat.mtrl-sci2022

Metastable Carbon at Extreme Conditions

Ashley S. Williams, Kien Nguyen-Cong, Jonathan T. Willman +1

Carbon at extreme conditions is the focus of intensive scientific inquiry due to its importance for applications in inertial confinement fusion experiments and for understanding th…

cond-mat.mtrl-sci2022★ 66 cited

Machine Learning Interatomic Potential for Simulations of Carbon at Extreme Conditions

Jonathan T. Willman, Kien Nguyen-Cong, Ashley S. Williams +5

A Spectral Neighbor Analysis (SNAP) machine learning interatomic potential (MLIP) has been developed for simulations of carbon at extreme pressures (up to 5 TPa) and temperatures (…

cond-mat.mtrl-sci2017★ 4 cited

Ambient and high pressure phases of tin sulfide compounds

Joseph M. Gonzalez, Kien Nguyen-Cong, Brad A. Steele +1

Tin sulfides SnxSy are important class of materials that are actively investigated as novel photovoltaic and water splitting materials. First-principles evolutionary crystal struct…

cond-mat.mtrl-sci2017

Tin-selenium compounds at ambient and high pressures

Kien Nguyen-Cong, Joseph M. Gonzalez, Brad A. Steele +1

SnxSey crystalline compounds consisting of Sn and Se atoms of varying composition are systematically investigated at pressures from 0 to 100 GPa using the first-principles evolutio…