The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture
Anuroop Sriram, Sihoon Choi, Xiaohan Yu, Logan M. Brabson, Abhishek Das, Zachary Ward Ulissi, Matt Uyttendaele, Andrew James Medford 等 9 位
Meta (United States) Georgia Institute of Technology Oak Ridge National Laboratory
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摘要与影响
Direct air capture (DAC) is an emerging technology to aid decarbonization. Exploring metal−organic frameworks (MOFs) for DAC needs to encompass vast numbers of materials in the presence of humid CO2. We present a data set with over 38 million quantum chemistry calculations on thousands of MOFs containing CO2 and/or H2O, enabling machine learning models to accelerate development of MOFs for DAC.
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工程Carbon Dioxide Capture Technologies
Metal-Organic Frameworks: Synthesis and Applications · Machine Learning in Materials Science
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