Application of topology-based structure features for machine learning in materials science-Reference-Cited by-同舟云学术

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Application of topology-based structure features for machine learning in materials science

Published:2023-07 Issue:7 Volume:42 Page:100120
ISSN:0254-5861
Container-title:Chinese Journal of Structural Chemistry
language:en
Short-container-title:Chinese Journal of Structural Chemistry

Author:

Zheng Shisheng,Ding Haowen,Li Shunning,Chen Dong,Pan Feng

Publisher

Elsevier BV

Subject

General Chemistry

Reference53 articles.

1. The ChEMBL database in 2017;Gaulton;Nucleic Acids Res.,2017

2. PubChem substance and compound databases;Kim;Nucleic Acids Res.,2016

3. Inorganic Crystal Structure Database (ICSD). https://icsd.fiz-karlsruhe.de/index.xhtml.http://doi.org/10.14102/j.cnki.0254-5861.2011-2011-2756.

4. Machine learning for molecular and materials science;Butler;Nature,2018

5. Machine learning: trends, perspectives, and prospects;Jordan;Science,2015

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1. Crystal Structure Prediction and Performance Assessment of Hydrogen Storage Materials: Insights from Computational Materials Science;Energies;2024-07-22

2. Rewc-GNN Algorithm for the Property Prediction of Large-Scale Crystals;The Journal of Physical Chemistry A;2024-07-22

3. Two-dimensional carbon/boron nitrides: modification, machine learning and beyond;Journal of Materials Chemistry A;2024

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