JOURNAL ARTICLE

Powder X-ray diffraction patterns based deep learning for the prediction of adsorption in metal-organic frameworks

Zhenglu YangJiyu CuiLifeng YangXiaofei LüXian SuoXili CuiHuajun ChenHuabin Xing

Year: 2025 Journal:   Separation and Purification Technology Vol: 372 Pages: 133390-133390   Publisher: Elsevier BV
Keywords:
Adsorption Metal-organic framework Diffraction Metal Powder diffraction Materials science Deep learning X-ray X-ray crystallography Chemical engineering Chemistry Crystallography Computer science Artificial intelligence Metallurgy Organic chemistry Engineering Physics Optics

Metrics

4
Cited By
6.16
FWCI (Field Weighted Citation Impact)
73
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Metal-Organic Frameworks: Synthesis and Applications
Physical Sciences →  Chemistry →  Inorganic Chemistry
X-ray Diffraction in Crystallography
Physical Sciences →  Materials Science →  Materials Chemistry
Machine Learning in Materials Science
Physical Sciences →  Materials Science →  Materials Chemistry
© 2026 ScienceGate Book Chapters — All rights reserved.