Starts 26 Apr 2023 11:00
Ends 26 Apr 2023 12:00
Central European Time
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CMSP Seminar (Atomistic Simulation Webinar Series): Towards understanding glassy liquids: from physical theories to machine learning
Hybrid Seminar
Luigi Stasi Seminar Room + Zoom
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.
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.