699 citations · 1.2k across the 18 of their papers we have counts for
20 papers
NUNet: Deep Learning for Non-Uniform Super-Resolution of Turbulent Flows
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya +1
Deep Learning (DL) algorithms are becoming increasingly popular for the reconstruction of high-resolution turbulent flows (aka super-resolution). However, current DL approaches per…
SURFNet: Super-resolution of Turbulent Flows with Transfer Learning using Small Datasets
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya +1
Deep Learning (DL) algorithms are emerging as a key alternative to computationally expensive CFD simulations. However, state-of-the-art DL approaches require large and high-resolut…
NWChem: Past, Present, and Future
E. Aprà, E. J. Bylaska, W. A. de Jong +111
Specialized computational chemistry packages have permanently reshaped the landscape of chemical and materials science by providing tools to support and guide experimental efforts…
CFDNet: a deep learning-based accelerator for fluid simulations
Octavi Obiols-Sales, Abhinav Vishnu, Nicholas Malaya +1
CFD is widely used in physical system design and optimization, where it is used to predict engineering quantities of interest, such as the lift on a plane wing or the drag on a mot…
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Garrett B. Goh, Khushmeen Sakloth, Charles Siegel +2
Deep learning algorithms excel at extracting patterns from raw data, and with large datasets, they have been very successful in computer vision and natural language applications. H…
ColdRoute: Effective Routing of Cold Questions in Stack Exchange Sites
Jiankai Sun, Abhinav Vishnu, Aniket Chakrabarti +2
Routing questions in Community Question Answer services (CQAs) such as Stack Exchange sites is a well-studied problem. Yet, cold-start -- a phenomena observed when a new question i…