| Description |
Daniele Coslovich (University of Trieste)
Abstract:
Glasses are amorphous solids produced by cooling a liquid fast enough to avoid crystallization. Mankind has manufactured them since thousands of years and yet we still lack a fundamental understanding of how and why they form. In this seminar, I will give a brief overview of some of the long-standing open problems about the glass transition. I will show how enhanced sampling methods are helping to disentangle competing theoretical descriptions of glassy liquids and then discuss recent applications of machine learning techniques in this context. |
CMSP Seminar (Atomistic Simulation Webinar Series): Towards understanding glassy liquids: from physical theories to machine learning
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