Prediction of Carbon Dioxide Adsorption via Deep Learning-Reference-Cited by-同舟云学术

Prediction of Carbon Dioxide Adsorption via Deep Learning

Published:2018-12-04 Issue:1 Volume:131 Page:265-269
ISSN:0044-8249
Container-title:Angewandte Chemie
language:en
Short-container-title:Angew. Chem.

Author:

Zhang Zihao¹²³,Schott Jennifer A.²³,Liu Miaomiao³,Chen Hao¹,Lu Xiuyang¹,Sumpter Bobby G.⁴,Fu Jie¹,Dai Sheng²³^ORCID

Affiliation:

1. Key Laboratory of Biomass Chemical Engineering of Ministry of Education College of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China

2. Chemical Sciences Division Oak Ridge National Laboratory Oak Ridge TN USA

3. Department of Chemistry University of Tennessee Knoxville TN USA

4. Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Chemical Sciences, Geosciences, and Biosciences Division

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ange.201812363

Reference55 articles.

2. Development and Evaluation of Porous Materials for Carbon Dioxide Separation and Capture

3. Poröse Materialien zur CO2-Abtrennung und -Abscheidung - Entwicklung und Bewertung

4. Rapid Synthesis of Nitrogen-Doped Porous Carbon Monolith for CO2Capture

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