CMT-bone: A Mini-App for Compressible Multiphase Turbulence Simulation Software. - Nalini Kumar; Mrugesh Sringarpure; Tania Banerjee; Jason Hackl; S. Balachandar 001; Herman Lam; Alan D. George; Sanjay Ranka (CLUSTER, 2015)

Behavioral Emulation for Scalable Design-Space Exploration of Algorithms and Architectures. - Nalini Kumar; Carlo Pascoe; Christopher Hajas; Herman Lam; Greg Stitt; Alan D. George (ISC Workshops, 2016)

Multi-fidelity Surrogate Modeling for Application/Architecture Co-design. - Yiming Zhang; Aravind Neelakantan; Nalini Kumar; Chanyoung Park; Raphael T. Haftka; Nam H. Kim; Herman Lam (PMBS@SC, 2017)

Scalable Behavioral Emulation of Extreme-Scale Systems Using Structural Simulation Toolkit. - Ajay Ramaswamy; Nalini Kumar; Aravind Neelakantan; Herman Lam; Greg Stitt (ICPP, 2018)

CosmoFlow: using deep learning to learn the universe at scale. - Amrita Mathuriya; Deborah Bard; Peter Mendygral; Lawrence Meadows; James Arnemann; Lei Shao; Siyu He; Tuomas Kärnä; Diana Moise; Simon J. Pennycook; Kristyn J. Maschhoff; Jason Sewall; et al. (SC, 2018)

DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems. - Adam Rupe; Prabhat; James P. Crutchfield; Nalini Kumar; Vladislav Epifanov; Karthik Kashinath; Oleksandr Pavlyk; Frank Schlimbach; Mostofa Patwary; Sergey Maidanov; Victor W. Lee (MLHPC@SC, 2019)

Using FPGAs to Accelerate HPC and Data Analytics on Intel-Based Systems. - Thomas Steinke 001; Estela Suarez; Taisuke Boku; Nalini Kumar; David E. Martin (ISC Workshops, 2019)

Towards Unsupervised Segmentation of Extreme Weather Events. - Adam Rupe; Karthik Kashinath; Nalini Kumar; Victor W. Lee; Prabhat; James P. Crutchfield (CoRR, 2019)

Towards Foundation Models for Materials Science: The Open MatSci ML Toolkit. - Kin Long Kelvin Lee; Carmelo Gonzales; Matthew Spellings; Mikhail Galkin 001; Santiago Miret; Nalini Kumar (SC Workshops, 2023)

Enabling Performant Thermal Conductivity Modeling with DeePMD and LAMMPS on CPUs. - Nariman Piroozan; Nalini Kumar (SC Workshops, 2023)

Enabling Multi-level Network Modeling in Structural Simulation Toolkit for Next-Generation HPC Network Design Space Exploration. - Sai P. Chenna; Nalini Kumar; Leonardo Borges; Michael Steyer; Philippe Thierry; Maria Garzaran 001 (ISC Workshops, 2023)

Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems. - Adam Rupe; Karthik Kashinath; Nalini Kumar; James P. Crutchfield (CoRR, 2023)

Artificial Intelligence for Scientific Discovery at High-Performance Computing Scales. - Kin Long Kelvin Lee; Nalini Kumar (Computer, 2023)

Modeling and Simulation of Collective Algorithms on HPC Network Topologies using Structural Simulation Toolkit. - Sai P. Chenna; Michael Steyer; Nalini Kumar; Maria Garzaran 001; Philippe Thierry (SC Workshops, 2024)

Impact of Varying BLAS Precision on DCMESH. - Nariman Piroozan; S. John Pennycook; Taufeq Mohammed Razakh; Peter Caday; Nalini Kumar; Aiichiro Nakano (SC Workshops, 2024)