Steven L. Brunton

Active learning can cut the data needed for accurate dynamics discovery by focusing on the most informative regions, outperforming random sampling by a significant margin.

Optimized fuel formulations can significantly reduce pollutant emissions while meeting stringent aviation standards, outperforming existing blends across key metrics.

Data-driven Koopman operator approximations can now be validated and improved using a novel principal angle decomposition, leading to more reliable spectral analysis and forecasting.