Discovery and Exploration of Novel Swarm Behaviors Given Limited Robot Capabilities. - Daniel S. Brown; Ryan Turner; Oliver Hennigh; Steven Loscalzo (DARS, 2016)

Automated Design using Neural Networks and Gradient Descent. - Oliver Hennigh (ICLR (Workshop), 2018)

From Deep to Physics-Informed Learning of Turbulence: Diagnostics. - Ryan King; Oliver Hennigh; Arvind T. Mohan; Michael Chertkov (CoRR, 2018)

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework. - Oliver Hennigh; Susheela Narasimhan; Mohammad Amin Nabian; Akshay Subramaniam; Kaustubh Tangsali; Max Rietmann; José del Águila Ferrandis; Wonmin Byeon; Zhiwei Fang; Sanjay Choudhry (CoRR, 2020)

NVIDIA SimNet™: An AI-Accelerated Multi-Physics Simulation Framework. - Oliver Hennigh; Susheela Narasimhan; Mohammad Amin Nabian; Akshay Subramaniam; Kaustubh Tangsali; Zhiwei Fang; Max Rietmann; Wonmin Byeon; Sanjay Choudhry (ICCS (5), 2021)

Physics Informed RNN-DCT Networks for Time-Dependent Partial Differential Equations. - Benjamin Wu; Oliver Hennigh; Jan Kautz; Sanjay Choudhry; Wonmin Byeon (ICCS (1), 2022)

DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations. - Rishikesh Ranade; Mohammad Amin Nabian; Kaustubh Tangsali; Alexey Kamenev; Oliver Hennigh; Ram Cherukuri; Sanjay Choudhry (CoRR, 2025)