Building a new generation of multiscale materials models with machine-learned interatomic potentials.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Fusion Energy Sciences (FES) (SC-24)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2003841
- Report Number(s):
- SAND2022-8952C; 707807
- Country of Publication:
- United States
- Language:
- English
Similar Records
Uncertainty Quantification of Machine Learning Interatomic Potential Models.
Generalization of SNAP to Arbitrary Machine-Learning Interatomic Potentials in LAMMPS.
Accelerating Multiscale Materials Modeling with Machine Learning.
Conference
·
Mon Aug 01 00:00:00 EDT 2022
·
OSTI ID:2004338
Generalization of SNAP to Arbitrary Machine-Learning Interatomic Potentials in LAMMPS.
Conference
·
Sun Feb 28 23:00:00 EST 2021
·
OSTI ID:1856085
Accelerating Multiscale Materials Modeling with Machine Learning.
Conference
·
Sun Feb 28 23:00:00 EST 2021
·
OSTI ID:1853873