Accelerating Molecular Dynamics Reservoir Computing

Last updated on Aug 2, 2024
Simulation of a driven particle system, generated using ResoBee potentials for the HOOMD engine.

Videos

Driven Dense Liquid, ~7,800 Agents

Driven Dense Liquid, ~7,800 Agents Video

Driven Condensed Matter, 32,000 Agents

Driven Condensed Matter, 32,000 Agents Video

Driven Condensed Matter, 100,000 Agents

Driven Condensed Matter, 100,000 Agents Video

Poster “Accelerating Molecular Dynamics Reservoir Computing”

Presented at:

  • Summer@Simons Intern Poster Session 2024, New York, NY, United States, August 2024
Internship Research Software Engineering Machine Learning Reservoir Computing Time-Series Prediction Molecular Dynamics
Mario Gaimann
Mario Gaimann
Doctoral Researcher

My research interests include artificial intelligence, reservoir computing and dynamical systems.

Related