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A Combined Machine Learning and High-Energy X-ray Diffraction Approach to Understanding Liquid and Amorphous Metal Oxides Publications Journal of the Physical Society of Japan
Efficient High-Dimensional Variational Data Assimilation with Machine-Learned Reduced-Order Models Publications Geoscientific Model Development
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