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Machine learning transforms how microstates are sampled.
- Source :
-
Science . 9/6/2019, Vol. 365 Issue 6457, p982-983. 2p. 2 Color Photographs, 1 Diagram, 1 Graph. - Publication Year :
- 2019
-
Abstract
- A review is presented of the article "Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning" by Frank Noé, Jonas Köhler and others on the use of a machine learning methodology to address a problem with atomistic simulations of complex molecular systems using Boltzmann probability distributions to predict equilibrium properties.
- Subjects :
- *EQUILIBRIUM reactions
*DEEP learning
*BOLTZMANN'S equation
Subjects
Details
- Language :
- English
- ISSN :
- 00368075
- Volume :
- 365
- Issue :
- 6457
- Database :
- Academic Search Index
- Journal :
- Science
- Publication Type :
- Academic Journal
- Accession number :
- 138487799
- Full Text :
- https://doi.org/10.1126/science.aay2568