Lalit Ghule

According to our database, Lalit Ghule authored at least 5 papers between 2021 and 2024.

Collaborative distances:

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

2024

A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations.

Sheel Nidhan, Haoliang Jiang, Lalit Ghule, Clancy Umphrey, Rishikesh Ranade, Jay Pathak

CoRR, 2024

2023

ManufacturingNet: A machine learning toolbox for engineers.

Akshay Antony, Chakradhar Guntuboina, Rishikesh Magar, Lalit Ghule, Ruchit Doshi, Aman Khalid, Sharan Seshadri, Amir Barati Farimani

SoftwareX, July, 2023

2022

NLP Inspired Training Mechanics For Modeling Transient Dynamics.

Lalit Ghule, Rishikesh Ranade, Jay Pathak

CoRR, 2022

A composable machine-learning approach for steady-state simulations on high-resolution grids.

Rishikesh Ranade, Chris Hill, Lalit Ghule, Jay Pathak

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification.

Rishikesh Magar, Lalit Ghule, Junhan Li, Yang Zhao, Amir Barati Farimani

IEEE Access, 2021