Aditya Kashi Computer Scientist, Scalable Numerical Methods Contact 865.576.1162 | kashia@ornl.gov All Publications Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations Predicting Timescales in Dynamical Systems With Explainable Machine Learning Models Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates... Tencoder: tensor-product encoder-decoder architecture for predicting solutions of PDEs with variable boundary data... TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences Key Links ORCID Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics & AI Methods at Scale Group
