Composition-Transferable Machine Learning Potential for LiCl-KCl Molten Salts Validated by High-Energy X-ray Diffraction Publications Physical Review B
Deep Neural Network Training with Distributed K-FAC Publications IEEE Transactions on Parallel and Distributed Systems
Hydrogen Separation with a Graphenylene Monolayer: Diffusion Monte Carlo Study Publications The Journal of Chemical Physics
ACCLAiM: Advancing the Practicality of MPI Collective Communication Autotuning Using Machine Learning Publications 2022 IEEE International Conference on Cluster Computing (CLUSTER)
The Dynamics of Drop Breakup in Breaking Waves Publications Proceedings of the 34th Symposium on Naval Hydrodynamics
Kicks and Induced Spins of Neutron Stars at Birth Publications Monthly Notices of the Royal Astronomical Society
The Essential Character of the Neutrino Mechanism of Core-Collapse Supernova Explosions Publications Monthly Notices of the Royal Astronomical Society
Applications of Machine Learning to Predicting Core-Collapse Supernova Explosion Outcomes Publications The Astrophysical Journal Letters
Electron Dynamics in Extended Systems within Real-Time Time-Dependent Density-Functional Theory Publications Computational Approaches for Materials Discovery and Development Perspective
GASNet-EX RMA Communication Performance on Recent Supercomputing Systems Publications 5th Annual Parallel Applications Workshop, Alternatives to MPI+X