Comparing machine learning techniques for predicting glassy dynamics.
J Chem Phys
; 156(20): 204503, 2022 May 28.
Article
in En
| MEDLINE
| ID: mdl-35649836
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Neural Networks, Computer
/
Machine Learning
Type of study:
Prognostic_studies
/
Risk_factors_studies
Language:
En
Journal:
J Chem Phys
Year:
2022
Document type:
Article
Affiliation country:
Netherlands
Country of publication:
United States