Artificial Intelligence and High-Throughput Computational Workflows Empowering the Fast Screening of Metal–Organic Frameworks for Hydrogen Storage-Reference-Cited by-同舟云学术

Artificial Intelligence and High-Throughput Computational Workflows Empowering the Fast Screening of Metal–Organic Frameworks for Hydrogen Storage

Published:2024-07-04 Issue:28 Volume:16 Page:36444-36452
ISSN:1944-8244
Container-title:ACS Applied Materials & Interfaces
language:en
Short-container-title:ACS Appl. Mater. Interfaces

Author:

Wang Linmeng¹,Feng Shihao¹,Zhang Chenjun²,Zhang Xi²,Liu Xiaodan²,Gao Hongyi¹³^ORCID,Liu Zhiyuan¹,Li Rushuo¹,Wang Jingjing¹,Jin Xu²

Affiliation:

1. Beijing Advanced Innovation Center for Materials Genome Engineering, Beijing Key Laboratory of Function Materials for Molecule & Structure Construction, School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, PR China

2. Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, PR China

3. Shunde Innovation School, University of Science and Technology Beijing, Shunde 528399, P. R. China

Funder

National Key Research and Development Program of China

Beijing Municipal Natural Science Foundation

Natural Science Foundation of Guangdong Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsami.4c06416

Reference66 articles.

1. Optimization of the Pore Structures of MOFs for Record High Hydrogen Volumetric Working Capacity

2. Hydrogen Storage in Microporous Metal-Organic Frameworks

3. Exceptional hydrogen storage achieved by screening nearly half a million metal-organic frameworks

4. High capacity hydrogenstorage materials: attributes for automotive applications and techniques for materials discovery

5. Balancing gravimetric and volumetric hydrogen density in MOFs