Stephen de Bruyn Kops

According to our database, Stephen de Bruyn Kops authored at least 5 papers between 2024 and 2025.

Collaborative distances:

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

2025

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training.

Wesley Brewer, Muralikrishnan Gopalakrishnan Meena, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen M. de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang

CoRR, August, 2025

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit.

Junqi Yin, Mijanur Palash, M. Paul Laiu, Muralikrishnan Gopalakrishnan Meena, John Gounley, Stephen M. de Bruyn Kops, Feiyi Wang, Ramanan Sankaran, Pei Zhang

CoRR, July, 2025

Intelligent Sampling of Extreme-Scale Turbulence Datasets for Accurate and Efficient Spatiotemporal Model Training.

Wesley Brewer, Murali Meena Gopalakrishnan, Matthias Maiterth, Aditya Kashi, Jong Youl Choi, Pei Zhang, Stephen Nichols, Riccardo Balin, Miles Couchman, Stephen de Bruyn Kops, P. K. Yeung, Daniel L. Dotson, Rohini Uma-Vaideswaran, Sarp Oral, Feiyi Wang

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

2024

Machine-learned closure of URANS for stably stratified turbulence: connecting physical timescales & data hyperparameters of deep time-series models.

Muralikrishnan Gopalakrishnan Meena, Demetri Liousas, Andrew D. Simin, Aditya Kashi, Wesley H. Brewer, James J. Riley, Stephen M. de Bruyn Kops

Mach. Learn. Sci. Technol., 2024

Equation-informed data-driven identification of flow budgets and dynamics.

Nataliya Sevryugina, Serena Costanzo, Stephen de Bruyn Kops, Colm-cille Caulfield, Iraj Mortazavi, Taraneh Sayadi

CoRR, 2024