Physics-Informed Deep Learning Approach for Reintroducing Atomic Detail in Coarse-Grained Configurations of Multiple Poly(lactic acid) Stereoisomers-Reference-Cited by-同舟云学术

Physics-Informed Deep Learning Approach for Reintroducing Atomic Detail in Coarse-Grained Configurations of Multiple Poly(lactic acid) Stereoisomers

Published:2024-03-01 Issue:6 Volume:64 Page:1853-1867
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Christofi Eleftherios¹^ORCID,Bačová Petra²^ORCID,Harmandaris Vagelis A.¹³⁴^ORCID

Affiliation:

1. Computation-based Science and Technology Research Center, The Cyprus Institute, Nicosia 2121, Cyprus

2. Departamento de Ciencia de los Materiales e Ingeniería Metalúrgica y Química Inorgánica, Facultad de Ciencias, IMEYMAT, Campus Universitario Río San Pedro s/n., Puerto Real, Cádiz 11510, Spain

3. Department of Mathematics and Applied Mathematics, University of Crete, Heraklion GR-71110, Greece

4. Institute of Applied and Computational Mathematics, Foundation for Research and Technology - Hellas, Heraklion GR-71110, Crete, Greece

Funder

HORIZON EUROPE Marie Sklodowska-Curie Actions

H2020 Spreading Excellence and Widening Participation

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01870

Reference57 articles.

1. Theodorou, D. In Computer Simulations in Condensed Matter Systems: From Materials to Chemical Biology; Ferrario, M., Ciccotti, G., Binder, K., Eds. Springer Berlin Heidelberg: Berlin, Heidelberg, 2006; Vol. 2, pp 419–448.

2. Perspective: Coarse-grained models for biomolecular systems

3. The MARTINI Force Field: Coarse Grained Model for Biomolecular Simulations

4. Two decades of Martini: Better beads, broader scope

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1. Correction to “Physics-Informed Deep Learning Approach for Reintroducing Atomic Detail in Coarse-Grained Configurations of Multiple Poly(lactic acid) Stereoisomers”;Journal of Chemical Information and Modeling;2024-08-19