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Chaos (Woodbury, N.Y.)|November 3, 2019
Robust and optimal sparse regression for nonlinear PDE modelsDaniel R Gurevich, Patrick A K Reinbold, Roman O GrigorievPhysical Review. E|February 20, 2020
Using noisy or incomplete data to discover models of spatiotemporal dynamicsPatrick A K Reinbold, Daniel R Gurevich, Roman O GrigorievPhysical Review. E|October 3, 2019
Data-driven discovery of partial differential equation models with latent variablesPatrick A K Reinbold, Roman O GrigorievChaos (Woodbury, N.Y.)|June 4, 2019
Robust approach for rotor mapping in cardiac tissueDaniel R Gurevich, Roman O GrigorievPhysical Review. E|April 19, 2017
Streamwise localization of traveling wave solutions in channel flowJoshua Barnett, Daniel R Gurevich, Roman O GrigorievNature Communications|May 29, 2021
Robust learning from noisy, incomplete, high-dimensional experimental data via physically constrained symbolic regressionPatrick A K Reinbold, Logan M Kageorge, Michael F Schatz, et al.Physical Review. E|June 19, 2026
Data-driven modeling of multiscale phenomena with applications to fluid turbulenceBrandon Choi, Matteo Ugliotti, Mateo Reynoso, et al.Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|February 21, 2006
Pattern selection and control via localized feedbackAndreas Handel, Roman O GrigorievChaos (Woodbury, N.Y.)|October 2, 2017
Memory effects, transient growth, and wave breakup in a model of paced atriumAlejandro Garzón, Roman O GrigorievChaos (Woodbury, N.Y.)|November 4, 2024
Ultra-low-energy defibrillation through adjoint optimizationAlejandro Garzón, Roman O GrigorievPageof 4