Low-dimensional representations for learning fast molecular dynamics simulations and new visualizations
Webcast: Link
Sponsor(s): The VIS Group, Computer Science, Libraries, Pratt School of Engineering, and Visual Studies Initiative
Protein folding and other molecular dynamics simulations are a crucial tool for understanding the biochemical underpinnings of life, but even with powerful computers researchers are unable to simulate the important state transitions at physiological temperatures. I will present some new work which uses local dimensionality reduction to learn approximate simulations which run hundreds of times faster than the originals, along with some web-based visualizations we're developing to explore the results.
Type: PANEL/SEMINAR/COLLOQUIUM
Contact: Angela Zoss