FaultNet: A Deep Convolutional Neural Network for Bearing Fault Classification. - Rishikesh Magar; Lalit Ghule; Junhan Li; Yang Zhao; Amir Barati Farimani (IEEE Access, 2021)

A composable machine-learning approach for steady-state simulations on high-resolution grids. - Rishikesh Ranade; Chris Hill; Lalit Ghule; Jay Pathak (NeurIPS, 2022)

NLP Inspired Training Mechanics For Modeling Transient Dynamics. - Lalit Ghule; Rishikesh Ranade; Jay Pathak (CoRR, 2022)

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, 2023)

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)