The thermoelastic properties of monolayer covalent organic frameworks studied by machine-learning molecular dynamics-Reference-Cited by-同舟云学术

The thermoelastic properties of monolayer covalent organic frameworks studied by machine-learning molecular dynamics

Published:2024 Issue:1 Volume:16 Page:237-248
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Wang Bing¹,Ying Penghua¹^ORCID,Zhang Jin¹^ORCID

Affiliation:

1. School of Science, Harbin Institute of Technology, Shenzhen 518055, PR China

Abstract

The machine-learned neuroevolution potential with high efficiency and accuracy has been developed to study the elastic properties of finite-sized monolayer covalent organic frameworks at various temperatures.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2024/NR/D3NR04509A

Reference72 articles.

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2. Storage of Hydrogen, Methane, and Carbon Dioxide in Highly Porous Covalent Organic Frameworks for Clean Energy Applications

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4. Fast, Ambient Temperature and Pressure Ionothermal Synthesis of Three-Dimensional Covalent Organic Frameworks

5. Three-Dimensional Covalent Organic Frameworks with Dual Linkages for Bifunctional Cascade Catalysis

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