3 citations · 5 across the 4 of their papers we have counts for
4 papers
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations
Sheel Nidhan, Haoliang Jiang, Lalit Ghule +3
In this paper, we propose a domain-decomposition-based deep learning (DL) framework, named transient-CoMLSim, for accurately modeling unsteady and nonlinear partial differential eq…
NLP Inspired Training Mechanics For Modeling Transient Dynamics
Lalit Ghule, Rishikesh Ranade, Jay Pathak
In recent years, Machine learning (ML) techniques developed for Natural Language Processing (NLP) have permeated into developing better computer vision algorithms. In this work, we…
A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade, Chris Hill, Lalit Ghule +1
In this paper we show that our Machine Learning (ML) approach, CoMLSim (Composable Machine Learning Simulator), can simulate PDEs on highly-resolved grids with higher accuracy and…
FaultNet: A Deep Convolutional Neural Network for bearing fault classification
Rishikesh Magar, Lalit Ghule, Junhan Li +2
The increased presence of advanced sensors on the production floors has led to the collection of datasets that can provide significant insights into machine health. An important an…