e-seminar #17: Machine Learning Coarse-Grained Models with Graph Neural Networks

e-seminar #17: Machine Learning Coarse-Grained Models with Graph Neural Networks
Share:

Download MP3


Similar Tracks

Lecture 1: Deep Potential Method for Molecular Simulation, Roberto Car DeepModeling
Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote Snowflake Inc.
Iterative Refinement GNN for Antibody Sequence-Structure Co-design | Wengong Jin Valence Labs
Anders Johansson - Fast and accurate machine learning potentials for extreme-scale simulations SciPy
Coarse Grain. Manuel Melo MoBioChem
How to Focus to Change Your Brain | Huberman Lab Essentials Andrew Huberman
The rise of Xi Jinping, explained Vox
Patrick Riley: "Reinforcement learning for molecular generation" Institute for Pure & Applied Mathematics (IPAM)
Think Faster, Talk Smarter with Matt Abrahams Stanford Alumni
Classical Music for Brain Power | Mozart, Beethoven, Vivaldi... HALIDONMUSIC
How Micron’s Building Biggest U.S. Chip Fab, Despite China Ban CNBC
Alan Watts - Myth of Myself Full Lecture Part 1 - Alan Watts Organization Official Official Alan Watts Org
Molecular Dynamics Simulation of Polymers with Jan Michael Carrillo (2020) Advanced Cyberinfrastructure Training at RPI
The Most Misunderstood Concept in Physics Veritasium
◎ Quick Chakra Tuneup | 3 Minutes Per Chakra | Chakra Healing | Tuned Tibetan Bowls Meditation Meditative Mind
Cyber Attacks | 60 Minutes Full Episodes 60 Minutes
EXCLUSIVE: “How Fascism Works” Author Jason Stanley Plans to Leave the U.S. | Amanpour and Company Amanpour and Company
GDC 2020 - Machine Learning, Physics Simulation, Kolmogorov Complexity, and Squishy Bunnies Ubisoft La Forge
25. Statistical Foundation for Molecular Dynamics Simulation MIT OpenCourseWare
An introduction to Reinforcement Learning Arxiv Insights