Kamaljyoti Nath

14 papers Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
A digital twin for diesel engines: Operator-infused physics-informed neural networks with transfer learning for engine health monitoring.
Eng. Appl. Artif. Intell.
Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis
2025 J jnl
A Neural Operator-Based Emulator for Regional Shallow Water Dynamics.
CoRR
Peter Rivera-Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson
2025 J jnl
AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics.
CoRR
Kamaljyoti Nath, Additi Pandey, Bryan T. Susi, Hessam Babaee, George Em Karniadakis
2025 J jnl
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI).
CoRR
Kamaljyoti Nath, Khemraj Shukla, Victor C. Tsai, Umair bin Waheed, Christian Huber, Omer Alpak, Chuen-Song Chen, Ligang Lu, Amik St.-Cyr
2024 J jnl
A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring.
CoRR
Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis
2024 J jnl
Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks.
Eng. Appl. Artif. Intell.
Felipe de Castro Teixeira Carvalho, Kamaljyoti Nath, Alberto Luiz Serpa, George Em Karniadakis
2024 J jnl
Learning thermoacoustic interactions in combustors using a physics-informed neural network.
Eng. Appl. Artif. Intell.
Sathesh Mariappan, Kamaljyoti Nath, George Em Karniadakis
2023 J jnl
Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks.
CoRR
Felipe de Castro Teixeira Carvalho, Kamaljyoti Nath, Alberto Luiz Serpa, George Em Karniadakis
2023 J jnl
Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines.
CoRR
Kamaljyoti Nath, Xuhui Meng, Daniel J. Smith, George Em Karniadakis
2022 J jnl
A Causality-DeepONet for Causal Responses of Linear Dynamical Systems.
CoRR
Lizuo Liu, Kamaljyoti Nath, Wei Cai
2022 J jnl
An adaptive scheme for random field discretization using KL expansion.
Eng. Comput.
Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra
2021 J jnl
Learning via Long Short-Term Memory (LSTM) network for predicting strains in Railway Bridge members under train induced vibration.
CoRR
Amartya Dutta, Kamaljyoti Nath
2020 J jnl
Long duration response evaluation of linear structural system with random system properties using time dependent polynomial chaos.
J. Comput. Phys.
Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra
2019 J jnl
An iterative polynomial chaos approach for solution of structural mechanics problem with Gaussian material property.
J. Comput. Phys.
Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra