Graph Transformer with Convolution Parallel Networks for Predicting Single and Binary Component Adsorption Performance of Metal–Organic Frameworks-Reference-Cited by-同舟云学术

Graph Transformer with Convolution Parallel Networks for Predicting Single and Binary Component Adsorption Performance of Metal–Organic Frameworks

Published:2023-10-13 Issue:42 Volume:15 Page:49527-49537
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Zhao Yiming¹²^ORCID,Zhao Yongjia¹²,Gong Qihan³,Wang Zhuo⁴²

Affiliation:

1. Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China

3. Fundamental Science & Advanced Technology Lab, PetroChina Petrochemical Research Institute, China National Petroleum Corporation, Beijing 102200, China

4. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China

Funder

Natural Science Foundation of Shenyang Municipality

Planned Projects for the Central Guidance of Local Science and Technology Development Funds

Publisher

American Chemical Society (ACS)

Subject

General Materials Science

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.3c10951

Reference68 articles.

1. Strategies to enhance CO2capture and separation based on engineering absorbent materials

2. Property impacts on Carbon Capture and Storage (CCS) processes: A review

3. Storage of Hydrogen, Methane, and Carbon Dioxide in Highly Porous Covalent Organic Frameworks for Clean Energy Applications

4. Hydrogen Storage in Metal–Organic Frameworks

5. Hydrogen storage in metal–organic frameworks

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