Research — Abhishek Chandra

Journal papers

Generalizable models of magnetic hysteresis via physics-aware recurrent neural networks
A Chandra^*, T Kapoor^*, B Daniels, M Curti, K Tiels, DM Tartakovsky, EA Lomonova

Computer Physics Communications, 2025
Characterizing nonlinear piezoelectric dynamics through deep neural operator learning
A Chandra, T Kapoor, M Curti, K Tiels, EA Lomonova

Applied Physics Letters, 2024
Magnetic hysteresis modeling with neural operators
A Chandra, B Daniels, M Curti, K Tiels, EA Lomonova

IEEE Transactions on Magnetics, 2024
Role of physics in physics-informed machine learning
A Chandra, J Bakarji, DM Tartakovsky

Journal of Machine Learning for Modeling and Computing, 2024
Discovery of sparse hysteresis models for piezoelectric materials
A Chandra, B Daniels, M Curti, K Tiels, EA Lomonova, DM Tartakovsky

Applied Physics Letters, 2023

Fast training of accurate physics-informed neural networks without gradient descent
C Datar, T Kapoor, A Chandra, Q Sun, I Burak, EL Bolager, A Veselovska, M Fornasier, F Dietrich

International Conference on Learning Representations, 2026 Oral, top 1%
Neural oscillators for generalization of physics-informed machine learning
T Kapoor^*, A Chandra^*, DM Tartakovsky, H Wang, A Núñez, R Dollevoet

AAAI Conference on Artificial Intelligence, 2024
Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws through indirect data
A Chandra, M Curti, K Tiels, EA Lomonova, DM Tartakovsky

IEEE Symposium Series on Computational Intelligence, 2022
Data-driven sparse discovery of hysteresis models for piezoelectric actuators
A Chandra, M Curti, K Tiels, EA Lomonova, DM Tartakovsky

IEEE Biennial Conference on Electromagnetic Field Computation, 2022

Neural oscillators for generalizing parametric PDEs
T Kapoor, A Chandra, DM Tartakovsky, H Wang, A Núñez, R Dollevoet

NeurIPS Workshop: The Symbiosis of Deep Learning and Differential Equations, 2024
Gradient weighted physics-informed neural networks for capturing shocks in porous media flows
S Kapoor, A Chandra, T Kapoor, M Curti

NeurIPS Workshop: Machine Learning and the Physical Sciences, 2023