Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization

Zijun Deng; Lev Sarkisov

doi:10.1021/acs.chemmater.4c01969

Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization

Zijun Deng
, Lev Sarkisov

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

Original language	English
Pages (from-to)	9806-9821
Number of pages	16
Journal	Chemistry of Materials
Volume	36
Issue number	19
DOIs	https://doi.org/10.1021/acs.chemmater.4c01969
Publication status	Published - 25 Sept 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1021/acs.chemmater.4c01969

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Multi-Scale Computational Design of Metal-Organic Frameworks for Carbon Capture Using Machine Learning and Multi-Objective Optimization

UN SDGs

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