Batched Sparse Iterative Solvers for Computational Chemistry Simulations on GPUs. - Isha Aggarwal; Aditya Kashi; Pratik Nayak; Cody J. Balos; Carol S. Woodward; Hartwig Anzt (ScalA@SC, 2021)

An Asynchronous Incomplete Block LU Preconditioner for Computational Fluid Dynamics on Unstructured Grids. - Aditya Kashi; Siva Nadarajah (SIAM J. Sci. Comput., 2021)

Batched sparse iterative solvers on GPU for the collision operator for fusion plasma simulations. - Aditya Kashi; Pratik Nayak; Dhruva Kulkarni; Aaron Scheinberg; Paul Lin; Hartwig Anzt (IPDPS, 2022)

Preconditioners for Batched Iterative Linear Solvers on GPUs. - Isha Aggarwal; Pratik Nayak; Aditya Kashi; Hartwig Anzt (SMC, 2022)

Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates. - Wesley Brewer; Daniel Martínez; Muralikrishnan Gopalakrishnan Meena; Aditya Kashi; Katarzyna Borowiec; Siyan Liu; Christopher Pilmaier; Greg W. Burgreen; Shanti Bhushan (SC Workshops, 2023)

Tencoder: tensor-product encoder-decoder architecture for predicting solutions of PDEs with variable boundary data. - Aditya Kashi (SC Workshops, 2023)

Integrating batched sparse iterative solvers for the collision operator in fusion plasma simulations on GPUs. - Aditya Kashi; Pratik Nayak; Dhruva Kulkarni; Aaron Scheinberg; Paul Lin; Hartwig Anzt (J. Parallel Distributed Comput., 2023)

TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. - Darren J. Hsu; Hao Lu 001; Aditya Kashi; Michael A. Matheson; John Gounley; Feiyi Wang; Wayne Joubert; Jens Glaser (Int. J. High Perform. Comput. Appl., 2023)

Accelerating Fusion Plasma Collision Operator Solves with Portable Batched Iterative Solvers on GPUs. - Paul Lin; Pratik Nayak; Aditya Kashi; Dhruva Kulkarni; Aaron Scheinberg; Hartwig Anzt (ISC Workshops, 2024)

Machine-Learned Closure of URANS for Stably Stratified Turbulence: Connecting Physical Timescales & Data Hyperparameters of Deep Time-Series Models. - Muralikrishnan Gopalakrishnan Meena; Demetri Liousas; Andrew D. Simin; Aditya Kashi; Wesley Brewer; James J. Riley; Stephen M. de Bruyn Kops (CoRR, 2024)

Learning the boundary-to-domain mapping using Lifting Product Fourier Neural Operators for partial differential equations. - Aditya Kashi; Arka Daw; Muralikrishnan Gopalakrishnan Meena; Hao Lu 001 (CoRR, 2024)

Scalable Artificial Intelligence for Science: Perspectives, Methods and Exemplars. - Wesley Brewer; Aditya Kashi; Sajal Dash; Aristeidis Tsaris; Junqi Yin; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

Mixed-precision numerics in scientific applications: survey and perspectives. - Aditya Kashi; Hao Lu; Wesley Brewer; David Rogers; Michael A. Matheson; Mallikarjun Shankar; Feiyi Wang (CoRR, 2024)

Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. - Aditya Kashi; Nicholson Koukpaizan; Hao Lu 001; Michael A. Matheson; Sarp Oral; Feiyi Wang (CoRR, 2025)

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training. - Wesley Brewer; Muralikrishnan Gopalakrishnan Meena; Matthias Maiterth; Aditya Kashi; Jong Youl Choi; Pei Zhang; Stephen Nichols; Riccardo Balin; Miles Couchman; Stephen M. de Bruyn Kops; P. K. Yeung; Daniel Dotson; et al. (CoRR, 2025)