Accurate and interpretable machine learning with pore+ descriptors for iodide capture in metal–organic frameworks

Xiaoyu Wu; Xianyu  Song; Linjiang Chen; Chunyi Yu; Liangdan Zhao; Mingrui Zuo; Chenrui Li; Heechae Choi; Jianwen Jiang; Lifeng Ding

doi:10.1016/j.seppur.2024.130933

Accurate and interpretable machine learning with pore+ descriptors for iodide capture in metal–organic frameworks

Xiaoyu Wu
, Xianyu Song
, Linjiang Chen^*
, Chunyi Yu
, Liangdan Zhao
, Mingrui Zuo
, Chenrui Li
, Heechae Choi
, Jianwen Jiang^*
, Lifeng Ding^*

^*Corresponding author for this work

University of Liverpool
University of Birmingham

Research output: Contribution to journal › Article › peer-review

7 Citations (Scopus)

Original language	English
Pages (from-to)	130933
Journal	Separation and Purification Technology
DOIs	https://doi.org/10.1016/j.seppur.2024.130933
Publication status	Published - Dec 2024

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10.1016/j.seppur.2024.130933

Atomic-scale control of functional nanomaterials in energy conversion technology, pharmaceutical science, and semiconductor processing
Choi, H. (PI)
1/10/24 → 1/10/27
Project: Internal Research Project

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title = "Accurate and interpretable machine learning with pore+ descriptors for iodide capture in metal–organic frameworks",

author = "Xiaoyu Wu and Xianyu Song and Linjiang Chen and Chunyi Yu and Liangdan Zhao and Mingrui Zuo and Chenrui Li and Heechae Choi and Jianwen Jiang and Lifeng Ding",

year = "2024",

month = dec,

doi = "10.1016/j.seppur.2024.130933",

language = "English",

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journal = "Separation and Purification Technology",

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T1 - Accurate and interpretable machine learning with pore+ descriptors for iodide capture in metal–organic frameworks

AU - Wu, Xiaoyu

AU - Song, Xianyu

AU - Chen, Linjiang

AU - Yu, Chunyi

AU - Zhao, Liangdan

AU - Zuo, Mingrui

AU - Li, Chenrui

AU - Choi, Heechae

AU - Jiang, Jianwen

AU - Ding, Lifeng

PY - 2024/12

Y1 - 2024/12

U2 - 10.1016/j.seppur.2024.130933

DO - 10.1016/j.seppur.2024.130933

M3 - Article

SN - 1383-5866

SP - 130933

JO - Separation and Purification Technology

JF - Separation and Purification Technology

ER -

Accurate and interpretable machine learning with pore+ descriptors for iodide capture in metal–organic frameworks

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Projects

Atomic-scale control of functional nanomaterials in energy conversion technology, pharmaceutical science, and semiconductor processing

Cite this