Aditya Kashi Computer Scientist, Scalable Numerical Methods Contact KASHIA@ORNL.GOV All Publications Tencoder: tensor-product encoder-decoder architecture for predicting solutions of PDEs with variable boundary data Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of d... 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... TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences... Key Links Organizations Computing and Computational Sciences Directorate National Center for Computational Sciences Advanced Technologies Section Analytics and AI Methods at Scale Group
