Kamaljyoti Nath

According to our database, Kamaljyoti Nath authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A digital twin for diesel engines: Operator-infused physics-informed neural networks with transfer learning for engine health monitoring.

Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis

Eng. Appl. Artif. Intell., 2026

2025

AMORE: Adaptive Multi-Output Operator Network for Stiff Chemical Kinetics.

Kamaljyoti Nath, Additi Pandey, Bryan T. Susi, Hessam Babaee, George Em Karniadakis

CoRR, October, 2025

Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI).

Kamaljyoti Nath, Khemraj Shukla, Victor C. Tsai, Umair bin Waheed, Christian Huber, Omer Alpak, Chuen-Song Chen, Ligang Lu, Amik St.-Cyr

CoRR, April, 2025

A Neural Operator-Based Emulator for Regional Shallow Water Dynamics.

Peter Rivera-Casillas, Sourav Dutta, Shukai Cai, Mark Loveland, Kamaljyoti Nath, Khemraj Shukla, Corey Jason Trahan, Jonghyun Lee, Matthew W. Farthing, Clint Dawson

CoRR, February, 2025

2024

Learning thermoacoustic interactions in combustors using a physics-informed neural network.

Sathesh Mariappan, Kamaljyoti Nath, George Em Karniadakis

Eng. Appl. Artif. Intell., 2024

Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks.

Felipe de Castro Teixeira Carvalho, Kamaljyoti Nath, Alberto Luiz Serpa, George Em Karniadakis

Eng. Appl. Artif. Intell., 2024

A Digital twin for Diesel Engines: Operator-infused PINNs with Transfer Learning for Engine Health Monitoring.

Kamaljyoti Nath, Varun Kumar, Daniel J. Smith, George Em Karniadakis

CoRR, 2024

2023

Learning characteristic parameters and dynamics of centrifugal pumps under multi-phase flow using physics-informed neural networks.

Felipe de Castro Teixeira Carvalho, Kamaljyoti Nath, Alberto Luiz Serpa, George Em Karniadakis

CoRR, 2023

Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines.

Kamaljyoti Nath, Xuhui Meng, Daniel J. Smith, George Em Karniadakis

CoRR, 2023

2022

An adaptive scheme for random field discretization using KL expansion.

Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra

Eng. Comput., 2022

A Causality-DeepONet for Causal Responses of Linear Dynamical Systems.

Lizuo Liu, Kamaljyoti Nath, Wei Cai

CoRR, 2022

2021

Learning via Long Short-Term Memory (LSTM) network for predicting strains in Railway Bridge members under train induced vibration.

Amartya Dutta, Kamaljyoti Nath

CoRR, 2021

2020

Long duration response evaluation of linear structural system with random system properties using time dependent polynomial chaos.

Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra

J. Comput. Phys., 2020

2019

An iterative polynomial chaos approach for solution of structural mechanics problem with Gaussian material property.

Kamaljyoti Nath, Anjan Dutta, Budhaditya Hazra

J. Comput. Phys., 2019