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Center for Computing Research

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Publication	Type	Year
Training Data Selection for Accuracy and Transferability of Interatomic Potentials npj Computational Materials David Montes de Oca Zapiain, Mitchell Wood, Nicholas Lubbers, Carlos Z. Pereyra, Aidan P. Thompson, Danny Perez4	Journal Article – 2022 Journal Article	2022
Development of structure-property linkages for damage in crystalline microstructures using Bayesian inference and unsupervised learning Tms 2023 David Montes de Oca Zapiain, Anh Tran, Hojun Lim	Abstract – 2022 Abstract	2022
Multifaceted uncertainty quantification in crystal plasticity finite element model AIAA Science and Technology Forum and Exposition Anh Tran, Pieterjan Magda M Robbe, Timothy Michael Wildey, Guy Leshem Bergel, David Montes de Oca Zapiain, Hojun Lim	Abstract – 2022 Abstract	2022
Mesoscale Simulation of Cold Spray Microstructure Formation TMS 2022 Annual Meeting & Exhibition Theron Rodgers, David Montes de Oca Zapiain, Anh Tran, Shannon Elizabeth Murray, Jacob Thomas Mahaffey	Conference Presentation – 2022 Conference Presentation	2022
Machine Learning Interatomic Potentials: Training Data Selection for Accuracy and Transferability APS March Meeting David Montes de Oca Zapiain, Mitchell Wood, Danny Perez, Nicholas Lubbers, Carlos Pereyra, Aidan P. Thompson	Abstract – 2021 Abstract	2021
Sandia / IBM Discussion on Machine Learning for Materials Applications David John Littlewood, Mitchell Wood, David Montes de Oca Zapiain, Sivasankaran Rajamanickam, Nathaniel Albert Trask https://www.osti.gov/search/identifier:1828106	Report – 2021 Report	2021
Interatomic Potentials for Materials Science and Beyond; Advances in Machine Learned Spectral Neighborhood Analysis Potentials LAMMPS Users Conference Mitchell Wood, Aidan P. Thompson, Mary Alice Cusentino, David Montes de Oca Zapiain, Ivan Oleynik	Conference Presentation – 2021 Conference Presentation	2021
Document Title	Type	Year