Discontinuous Galerkin methods for solving Boussinesq-Green-Naghdi equations in resolving non-linear and dispersive surface water waves. - Nishant Panda; Clint Dawson 001; Yao Zhang; Andrew B. Kennedy; Joannes J. Westerink; Aaron S. Donahue (J. Comput. Phys., 2014)

A Hybridized Discontinuous Galerkin Method for the Nonlinear Korteweg-de Vries Equation. - Ali Samii; Nishant Panda; Craig Michoski; Clint Dawson 001 (J. Sci. Comput., 2016)

Estimating Failure in Brittle Materials using Graph Theory. - Maruti Kumar Mudunuru; Nishant Panda; Satish Karra; Gowri Srinivasan; Viet T. Chau; Esteban Rougier; A. Hunter; Hari S. Viswanathan (CoRR, 2018)

What is the gradient of a scalar function of a symmetric matrix ? - Shriram Srinivasan; Nishant Panda (CoRR, 2019)

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. - Anishi Mehta; Cory Braker Scott; Diane Oyen; Nishant Panda; Gowri Srinivasan (AAAI Spring Symposium: MLPS, 2020)

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. - Yinan Wang; Diane Oyen; Weihong Guo 001; Anishi Mehta; Cory Braker Scott; Nishant Panda; M. Giselle Fernández-Godino; Gowri Srinivasan; Xiaowei Yue (CoRR, 2020)

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. - Nishant Panda; Dave Osthus; Gowri Srinivasan; Daniel O'Malley; Viet T. Chau; Diane Oyen; Humberto Godinez (J. Comput. Phys., 2020)

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. - Dave Osthus; Jeffrey D. Hyman; Satish Karra; Nishant Panda; Gowri Srinivasan (SIAM/ASA J. Uncertain. Quantification, 2020)

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. - Divya Banesh; Nishant Panda; Ayan Biswas; Luke Van Roekel; Diane Oyen; Nathan M. Urban; Michael Grosskopf; Jonathan David Wolfe; Earl Lawrence (IEEE BigData, 2021)

Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. - Katiana Kontolati; Natalie Klein; Nishant Panda; Diane Oyen (CoRR, 2021)

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. - Shamminuj Aktar; Hamdy Abdelkhalik; Nazmul Haque Turja; Yehia Arafa; Atanu Barai; Nishant Panda; Gopinath Chennupati; Nandakishore Santhi; Stephan J. Eidenbenz; Abdel-Hameed A. Badawy (CoRR, 2022)

Generative structured normalizing flow Gaussian processes applied to spectroscopic data. - Natalie Klein; Nishant Panda; Patrick Gasda; Diane Oyen (CoRR, 2022)

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. - Hamdy Abdelkhalik; Shamminuj Aktar; Yehia Arafa; Atanu Barai; Gopinath Chennupati; Nandakishore Santhi; Nishant Panda; Nirmal Prajapati; Nazmul Haque Turja; Stephan J. Eidenbenz; Abdel-Hameed A. Badawy (ICPADS, 2023)

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation. - Nishant Panda; Natalie Klein; Dominic Yang; Patrick Gasda; Diane Oyen (CoRR, 2023)

Liouville Flow Importance Sampler. - Yifeng Tian; Nishant Panda; Yen Ting Lin (ICML, 2024)

On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks. - Shriram Srinivasan; Nishant Panda; Kaarthik Sundar (IEEE Control. Syst. Lett., 2024)

Local Stochastic Sensitivity Analysis For Dynamical Systems. - Nishant Panda; Jehanzeb H. Chaudhry; Natalie Klein; James Carzon; Troy Butler (AISTATS, 2025)