Dynamics of supercooled liquids from static averaged quantities using machine learning
We introduce a machine-learning approach to predict the complex non-Markovian dynamics of supercooled liquids from static averaged quantities. Compared to techniques based on particle propensity, our method is built upon a theoretical framework that uses as input and output system-averaged quantitie...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
IOP Publishing
2023-01-01
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Series: | Machine Learning: Science and Technology |
Subjects: | |
Online Access: | https://doi.org/10.1088/2632-2153/acc7e1 |