CFSM Seminar #2 "Phase field method and physics informed neural networks for complex fluid" Published -- Download video MP4 360p Recommendations 1:39:52 Roger E.A. Arndt Ceremony & Physics-Informed Deep Learning with Dr. George Karniadakis - Sept. 2022 34:32 Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning] 07:12 Groundbreaking chemist defines all of life in 2 words | Lee Cronin 37:58 PINNs for Optimization and Control 23:42 Physics-Informed Dynamic Mode Decomposition (PI-DMD) 24:55 Do these sound illusions fool you? 05:19 5 Minutes for the Next 50 Years - Mathhew McConaughey Motivational Speech 33:56 NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis (ML Research Paper Explained) 1:03:41 "Predictive Digital Twins: From physics-based modeling to scientific machine learning" Prof. Willcox 49:30 Liquid Neural Networks 1:18:11 1. Intro to Nanotechnology, Nanoscale Transport Phenomena 05:06 Teaching Neural Network to Solve Navier-Stokes Equations 1:18:53 George Karniadakis - From PINNs to DeepOnets 24:48 [CFD] Eulerian Multi-Phase Modelling 51:22 Rethinking Physics Informed Neural Networks [NeurIPS'21] 55:33 Fluid Mechanics: Fundamental Concepts, Fluid Properties (1 of 34) 59:56 Anima Anandkumar - Neural operator: A new paradigm for learning PDEs 26:56 Deep Learning to Discover Coordinates for Dynamics: Autoencoders & Physics Informed Machine Learning 1:31:01 PINNs || Extrapolation in DeepONet || Seminar on: December 16, 2022 Similar videos 21:58 Physics-Informed Neural Network 21:24 Using Physics-Informed Neural Network to Calculate Radiative Transfer Problems 57:27 DataLearning: Physics-Informed Deep Learning - Learning from Small Data 1:02:13 Learning Operators with Coupled Attention 1:16:11 Prof Kaoru Ohno on "The first principles phase field method for predicting microstructure of alloys" 1:11:49 CFSM Seminar #45 "Pore-scale Study of Reactive Transport in Porous Media" 1:03:21 George Karniadakis: Approximating functions, functionals and operators with neural networks 2:34:08 Programming learning rate annealing physics-informed neural networks (LRA-PINN) (part-4) 2:09:09 Self-adaptive PINNs || Spectral bias in NNs || Seminar on: December 2, 2022 2:04:10 SIAM Distinguished Speaker Seminar by Dr. Howard Stone More results