Accelerating 2D MXene catalyst discovery for the hydrogen evolution reaction by computer-driven workflow and an ensemble learning strategy-Reference-Cited by-同舟云学术

Accelerating 2D MXene catalyst discovery for the hydrogen evolution reaction by computer-driven workflow and an ensemble learning strategy

Published:2020 Issue:44 Volume:8 Page:23488-23497
ISSN:2050-7488
Container-title:Journal of Materials Chemistry A
language:en
Short-container-title:J. Mater. Chem. A

Author:

Wang Xiaoxu¹²³⁴⁵^ORCID,Wang Changxin¹²³⁴⁶^ORCID,Ci Shinan⁷⁸⁹⁴,Ma Yuan¹²³⁴⁶^ORCID,Liu Tong¹⁰¹¹¹²¹³⁴,Gao Lei¹²³⁴⁶^ORCID,Qian Ping¹²³⁴⁵^ORCID,Ji Chunlin¹⁴¹⁵⁴,Su Yanjing¹²³⁴⁶

Affiliation:

1. Beijing Advanced Innovation Center for Materials Genome Engineering

2. University of Science and Technology Beijing

3. Beijing 100083

4. China

5. Department of Physics

6. Corrosion and Protection Center

7. Science and Technology on Advanced High Temperature Structural Materials Laboratory

8. Beijing Institute of Aeronautical Materials

9. Beijing 100095

10. Beijing Key Laboratory of Cloud Computing Key Technology and Application

11. Beijing Computing Center

12. Beijing Academy of Science and Technology

13. Beijing 100094

14. Kuang-Chi Institute of Advanced Technology

15. Shenzhen

Abstract

Combining high-throughput calculation workflow with a machine learning strategy to accelerate 2D MXene HER catalyst discovery.

Funder

National Basic Research Program of China

Guangdong Province Introduction of Innovative R&D Team

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science,Renewable Energy, Sustainability and the Environment,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2020/TA/D0TA06583H

Reference60 articles.

1. Identification of Active Edge Sites for Electrochemical H 2 Evolution from MoS 2 Nanocatalysts

2. Engineering the surface structure of MoS2 to preferentially expose active edge sites for electrocatalysis

3. Activating and optimizing MoS2 basal planes for hydrogen evolution through the formation of strained sulphur vacancies

4. Reversing Interfacial Catalysis of Ambipolar WSe 2 Single Crystal

5. Two-Dimensional Nanocrystals Produced by Exfoliation of Ti3AlC2

Cited by 82 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: Beyond algorithm development;Journal of Energy Chemistry;2024-12

2. Symbolic transform optimized convolutional neural network model for high-performance prediction and analysis of MXenes hydrogen evolution reaction catalysts;International Journal of Hydrogen Energy;2024-10

3. Machine learning driven advancements in catalysis for predicting hydrogen evolution reaction activity;Materials Chemistry and Physics;2024-10

4. Enhancing electrocatalytic hydrogen evolution performance through homogeneous deposition of 2H-Phase MoSe2 on Ti3C2Tx;FlatChem;2024-09

5. Recent advancements in two-dimensional transition metal dichalcogenide materials towards hydrogen-evolution electrocatalysis;Green Energy & Environment;2024-08