Exploring Challenging Properties of Liquid Metallic Systems through Machine Learning: Liquid La and Li<sub>4</sub>Pb Systems-Reference-Cited by-同舟云学术

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Exploring Challenging Properties of Liquid Metallic Systems through Machine Learning: Liquid La and Li₄Pb Systems

Published:2024-04-01 Issue:8 Volume:20 Page:3285-3297
ISSN:1549-9618
Container-title:Journal of Chemical Theory and Computation
language:en
Short-container-title:J. Chem. Theory Comput.

Author:

del Rio Beatriz G.¹,González Luis E.¹^ORCID

Affiliation:

1. Departamento de Física Teórica Atómica y Óptica, Universidad de Valladolid, 47011 Valladolid, Spain

Funder

Ministerio de Universidades

European Regional Development Fund

Ministerio de Econom?a y Competitividad

Universidad de Valladolid

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jctc.4c00049

Reference70 articles.

1. Phase Transition for a Hard Sphere System

2. Correlations in the Motion of Atoms in Liquid Argon

3. Unified Approach for Molecular Dynamics and Density-Functional Theory

4. Inhomogeneous Electron Gas

5. Self-Consistent Equations Including Exchange and Correlation Effects

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