Mary Alice Cusentino

Data-driven material models for atomistic simulation

Mitchell Wood, Mary Alice Cusentino, Brian D. Wirth et al. · Physical review. B./Physical review. B · 2019 · 69 citations · Full text

Explicit Multielement Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems

Mary Alice Cusentino, Mitchell Wood, Aidan P. Thompson · The Journal of Physical Chemistry A · 2020 · 63 citations · Full text

FitSNAP: Atomistic machine learning with LAMMPS

Andrew Rohskopf, C. Sievers, Nicholas Lubbers et al. · The Journal of Open Source Software · 2023 · 46 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +21

A Molecular Dynamics Study of Subsurface Hydrogen-Helium Bubbles in Tungsten

Zachary Bergstrom, Mary Alice Cusentino, Brian D. Wirth · Fusion Science & Technology · 2016 · 44 citations

Engineering, Fusion Reactor Materials, Fusion Power +20

Compositional and structural origins of radiation damage mitigation in high-entropy alloys

Mary Alice Cusentino, Mitchell Wood, Rémi Dingreville · Journal of Applied Physics · 2020 · 44 citations · Full text

Engineering, Radiation Materials Science, Defect Tolerance +22