Youngsoo Choi: Efficient physics-constrained data-driven physical simulations Published 2022-03-24 Download video MP4 360p Recommendations 1:20:01 Shi Jin: Dimension Lifting for Quantum Computation of Partial Differential Eqns and Related Problems 17:38 The moment we stopped understanding AI [AlexNet] 1:21:28 Lecture 01 - The Learning Problem 13:12 Water powered timers hidden in public restrooms 59:26 What’s Next in AI: NVIDIA’s Jensen Huang Talks With WIRED’s Lauren Goode 14:20 What if my Intel CPU explodes?? - Probing Paul #88 59:35 Boya Hou: Nonparametric Compressed Learning of Dynamical Systems 09:01 James Webb Telescope Just Announced First Massive Structure Older Than the Universe 03:57 Math Olympiad | A Nice Exponential Problem | EasyMaths 58:38 AI and The Next Computing Platforms With Jensen Huang and Mark Zuckerberg 25:10 Brian Cox Breaks Silence: "The Universe Existed Before Big Bang" Similar videos 1:07:31 DDPS | libROM: Library for physics-constrained data-driven physical simulations | Youngsoo Choi 1:12:01 TAMIDS Digital Twin Lab Seminar: Physics-guided Data-driven Simulations (Dr. Youngsoo Choi) 55:31 HLCS | Interpretable and Explainable Data-Driven Methods for Physical Simulations 1:07:31 [DDPS talk] #libROM: Library for physics-constrained data-driven physical simulations | #ROM #ML 11:10 Certified data-driven physics-informed greedy auto-encoder simulator 05:23 DDPS | Efficient nonlinear manifold reduced order model 25:25 Physics-Constrained NNs with Minimax Architecture for Predicting Microstructure Evolution 1:02:53 DDPS | Scientific Machine Learning through the Lens of Physics-Informed Neural Networks 24:55 Data-driven Surrogate and Model discovery for Multi-physics simulation 1:07:13 Data Learning - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics 20:28 MFEM Workshop 2022 | Reduced Order Modeling for FE Simulations with MFEM & libROM 1:10:09 Kevin Carlberg - AI for Computational Physics: Toward real-time high-fidelity simulation More results