High-Performance Computing and the Future of Big Science for Department of Energy Applications
This event showcases the outstanding research supported by the MICDE Catalyst Grant and provides a unique opportunity to share your ideas and network with fellow faculty members during a networking reception.
An overview of Los Alamos National Laboratory and the Theoretical Division.
A closed-form mathematical framework for modeling turbulent fluids
Robust Training of Machine Learning Interatomic Potentials with Dimensionality Reduction and Stratified Sampling
CHGNet: pretrained universal interatomic potential to study electron coupled ionic systems
Supercomputing at the exascale and beyond: future trends and challenges
Multi-scale modeling of the evolution of structure and properties in materials for nuclear energy applications
Gradient-Based Multidisciplinary Design Optimization for Propeller Design | Validation of a multivariate non-Gaussian, non-stationary wind pressure simulation model for performance-based wind engineering
Efficient calculations of electronic structures with machine-learning models