David Montes de Oca Zapiain

Accelerating phase-field-based microstructure evolution predictions via surrogate models trained by machine learning methods

David Montes de Oca Zapiain, James A. Stewart, Rémi Dingreville · npj Computational Materials · 2021 · 210 citations · Full text

Natural Sciences, Computational Engineering, Materials Science +12

Training data selection for accuracy and transferability of interatomic potentials

David Montes de Oca Zapiain, Mitchell Wood, Nicholas Lubbers et al. · npj Computational Materials · 2022 · 54 citations · Full text

Computing, Computer Science, Materials Science +17

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

Natural Sciences, Materials Science, Physics +17

Microscopic and Macroscopic Characterization of Grain Boundary Energy and Strength in Silicon Carbide via Machine-Learning Techniques

Matthew Guziewski, David Montes de Oca Zapiain, Rémi Dingreville et al. · ACS Applied Materials & Interfaces · 2021 · 30 citations · Full text

Natural Sciences, Materials Engineering, Materials Science +17

Predicting plastic anisotropy using crystal plasticity and Bayesian neural network surrogate models

David Montes de Oca Zapiain, Hojun Lim, Taejoon Park et al. · Materials Science and Engineering A · 2021 · 28 citations

Natural Sciences, Materials Engineering, Materials Science +16