Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors-Reference-Cited by-同舟云学术

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Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors

Published:2019-09-26 Issue:10 Volume:100 Page:
ISSN:2469-9950
Container-title:Physical Review B
language:en
Short-container-title:Phys. Rev. B

Author:

Jørgensen Peter Bjørn,Garijo del Río Estefanía,Schmidt Mikkel N.,Jacobsen Karsten Wedel

Funder

Villum Fonden

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevB.100.104114/fulltext

Reference41 articles.

1. Computational screening of perovskite metal oxides for optimal solar light capture

2. First principles high throughput screening of oxynitrides for water-splitting photocatalysts

3. Sulfide perovskites for solar energy conversion applications: computational screening and synthesis of the selected compound LaYS3

4. Computational understanding of Li-ion batteries

5. High-throughput computational design of cathode coatings for Li-ion batteries

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Symmetry engineering in low-dimensional materials;Materials Today;2024-06

2. Graph representation of multi-dimensional materials;Journal of Physics: Materials;2024-04-01

3. Graph neural networks for materials science and chemistry;Communications Materials;2022-11-26

4. Rapid discovery of stable materials by coordinate-free coarse graining;Science Advances;2022-07-29

5. Reflections on one million compounds in the open quantum materials database (OQMD);Journal of Physics: Materials;2022-07-01

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