Investigating the orientation dependence of local fields around spherical defects using crystal plasticity simulations
Not Available
36 MATERIALS SCIENCE↗
Engineering topics
de Oca Zapiain, David Montes
Publications and source records attributed to de Oca Zapiain, David Montes.
Sandia / IBM Discussion on Machine Learning for Materials Applications [Slides]
This report includes a compilation of several slide presentations: 1) Interatomic Potentials for Materials Science and Beyond–Advances in Machine Learned Spectral Neighborhood Analysis Potentials (Wood); 2) Agile Materials Science and Advanced Manufacturing through AI/ML (de Oca Zapiain); 3) Machine Learning for DFT Calculations (Rajamanickam); 4) Structure-preserving ML discovery of a quantum-to-continuum codesign stack (Trask); and 5) IBM Overview of Accelerated Discovery Technology (Pitera)
36 MATERIALS SCIENCE↗