[1E10-12] G7. Computational Rheology

3:45 PM - 4:05 PM JST(6:45 AM - 7:05 AM UTC)

[1E11] Inferring Stokes flows using Physics-Informed Machine Learning

*Daiki Fujita¹, John J Molina¹, Takashi Taniguchi¹ (1. Kyoto University, Department of Chemical Engineering, Soft Matter Engineering Lab. (Japan))

Keywords:

Machine learning,Stokes flow,Gaussian regression,Observation noise