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

Zhenglu Yang; Jiyu Cui; Lifeng Yang; Xiaofei Lü; Xian Suo; Xili Cui; Huajun Chen; Huabin Xing

doi:10.1016/j.seppur.2025.133390

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

Zhenglu Yang Jiyu Cui Lifeng Yang Xiaofei Lü Xian Suo Xili Cui Huajun Chen Huabin Xing

Year: 2025 Journal: Separation and Purification Technology Vol: 372 Pages: 133390-133390 Publisher: Elsevier BV

DOI: 10.1016/j.seppur.2025.133390

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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

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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

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

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