Rich R. Kerswell

According to our database, Rich R. Kerswell authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

Conditioning on PDE Parameters to Generalise Deep Learning Emulation of Stochastic and Chaotic Dynamics.

Ira J. S. Shokar, Rich R. Kerswell, Peter H. Haynes

CoRR, September, 2025

Nonlinear optimals and their role in sustaining turbulence in channel flow.

Dario Klingenberg, Rich R. Kerswell

CoRR, March, 2025

Deep Learning of the Evolution Operator Enables Forecasting of Out-of-Training Dynamics in Chaotic Systems.

Ira J. S. Shokar, Peter H. Haynes, Rich R. Kerswell

CoRR, February, 2025

2024

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning.

Ruben Ohana, Michael McCabe, Lucas Meyer, Rudy Morel, Fruzsina J. Agocs, Miguel Beneitez, Marsha Berger, Blakesley Burkhart, Stuart B. Dalziel, Drummond B. Fielding, Daniel Fortunato, Jared A. Goldberg, Keiya Hirashima, Yan-Fei Jiang, Rich R. Kerswell, Suryanarayana Maddu, Jonah Miller, Payel Mukhopadhyay, Stefan S. Nixon, Jeff Shen, Romain Watteaux, Bruno Régaldo-Saint Blancard, François Rozet, Liam Holden Parker, Miles D. Cranmer, Shirley Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Wall shear stress and pressure patterns in aortic stenosis patients with and without aortic dilation captured by high-performance image-based computational fluid dynamics.

Hadi Zolfaghari, Mervyn Andiapen, Andreas Baumbach, Anthony Mathur, Rich R. Kerswell

PLoS Comput. Biol., October, 2023

Stochastic Latent Transformer: Efficient Modelling of Stochastically Forced Zonal Jets.

Ira J. S. Shokar, Rich R. Kerswell, Peter H. Haynes

CoRR, 2023