Subhayan De - RankMe

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Level set-based topology optimization of micropolar solids under thermo-mechanical loading. CoRR Mayank Shekhar, Ayyappan Unnikrishna Pillai, Subhayan De, Mohammad Masiur Rahaman
2024	J	`jnl`	Alpha-VI DeepONet: A prior-robust variational Bayesian approach for enhancing DeepONets with uncertainty quantification. CoRR Soban Nasir Lone, Subhayan De, Rajdip Nayek
2023	J	`jnl`	A Bi-fidelity DeepONet Approach for Modeling Uncertain and Degrading Hysteretic Systems. CoRR Subhayan De, Patrick T. Brewick
2023	J	`jnl`	PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model. CoRR Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2023	J	`jnl`	PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model. CoRR Malik Hassanaly, Peter J. Weddle, Ryan N. King, Subhayan De, Alireza Doostan, Corey R. Randall, Eric J. Dufek, Andrew M. Colclasure, Kandler Smith
2022	J	`jnl`	Bi-fidelity Modeling of Uncertain and Partially Unknown Systems using DeepONets. CoRR Subhayan De, Malik Hassanaly, Matthew J. Reynolds, Ryan N. King, Alireza Doostan
2022	J	`jnl`	Neural network training using J. Comput. Phys. Subhayan De, Alireza Doostan
2021	J	`jnl`	Neural Network Training Using 𝓁 CoRR Subhayan De, Alireza Doostan
2021	J	`jnl`	Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning. CoRR Subhayan De, Bhuiyan Shameem Mahmood Ebna Hai, Alireza Doostan, Markus Bause
2021	J	`jnl`	Uncertainty Quantification of Locally Nonlinear Dynamical Systems Using Neural Networks. J. Comput. Civ. Eng. Subhayan De
2020	J	`jnl`	On transfer learning of neural networks using bi-fidelity data for uncertainty propagation. CoRR Subhayan De, Jolene Britton, Matthew J. Reynolds, Ryan Skinner, Kenneth E. Jansen, Alireza Doostan
2019	J	`jnl`	Topology Optimization under Uncertainty using a Stochastic Gradient-based Approach. CoRR Subhayan De, Jerrad Hampton, Kurt Maute, Alireza Doostan