Simulation-Calibrated SciML || HPINNs: You need curvature! || Seminar on June 28, 2024
1:40:42
A Gaussian Process and Input Encoding for Operator Learning || Topology Optimization || Oct 11, 2024
57:07
Channel Characteristics for Terahertz Wireless Communications
1:50:32
Guiding insights for atomistic systems||Probabilistic Framework for Symbolic Regression||Dec 6, 2024
2:02:30
Scale | MoMA R&D Salon 46 | MoMA LIVE
47:27
Physics Informed Machine Learning: High Level Overview of AI and ML in Science and Engineering
1:52:19
PINNs for time series || Advancing Computational Fluid Dynamics with PINNs || Dec 13, 2024
50:05
6. Simulación de Monte Carlo
1:02:08