Pressure-dependent thermodynamics of cubic Lu-H-N solid solutions by Monte Carlo simulations based on graph neural networks
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Research Organization:
- Sandia National Laboratories (SNL-CA), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2565148
- Report Number(s):
- SAND2024-05846C
- Country of Publication:
- United States
- Language:
- English
Similar Records
Thermodynamic Modeling of Complex Solid Solutions in the Lu-H-N System via Graph Neural Network Accelerated Monte Carlo Simulations
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
Reversible and irreversible bracket-based dynamics for deep graph neural networks
Journal Article
·
Mon Sep 01 20:00:00 EDT 2025
· PRX Energy
·
OSTI ID:2588304
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
Conference
·
Sat Jun 01 00:00:00 EDT 2024
·
OSTI ID:2586335
Reversible and irreversible bracket-based dynamics for deep graph neural networks
Conference
·
Fri Sep 01 00:00:00 EDT 2023
·
OSTI ID:2566723