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Arvind Rajendran1, Sai Gokul Subraveti1,2, Kasturi Nagesh Pai1,3

  • 1Donadeo Innovation Centre for Engineering, University of Alberta, 9211-116 Street NW, Edmonton, AB T6G 1H9, Canada.

PubMed
概括

开发计算方法,包括MAPLE框架和基于物理的神经网络,可以有效地对固体吸附剂进行二氧化碳 (CO2) 捕获的过程信息选,加速向净零目标的过渡. 这种方法将材料特性与工艺性能相结合,以便有效地选择吸附剂.

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