Large-Scale Atomistic Simulations [Slides]
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
This report investigates free expansion of Aluminum and provides a take home message of "The physically realistic SNAP machine-learning potential captures liquid-vapor coexistence behavior for free expansion of aluminum at a level not generally accessible to hydrocodes".
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1888083
- Report Number(s):
- SAND2022-12647R; 709947; TRN: US2308970
- Country of Publication:
- United States
- Language:
- English
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