A Surrogate Machine Learning Model for the Design of Single-Atom Catalyst on Carbon and Porphyrin Supports towards Electrochemistry-Reference-Cited by-同舟云学术

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A Surrogate Machine Learning Model for the Design of Single-Atom Catalyst on Carbon and Porphyrin Supports towards Electrochemistry

Published:2023-05-19 Issue:21 Volume:127 Page:9992-10000
ISSN:1932-7447
Container-title:The Journal of Physical Chemistry C
language:en
Short-container-title:J. Phys. Chem. C

Author:

Tamtaji Mohsen¹²^ORCID,Chen Shuguang¹²,Hu Ziyang¹²^ORCID,Goddard III William A.³^ORCID,Chen GuanHua¹²

Affiliation:

1. Department of Chemistry, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China

2. Hong Kong Quantum AI Lab Limited, Pak Shek Kok, Hong Kong SAR 999077, China

3. Materials and Process Simulation Center (MSC), MC 139-74, California Institute of Technology, Pasadena, California 91125, United States

Funder

Research Grants Council, University Grants Committee

Division of Chemical, Bioengineering, Environmental, and Transport Systems

Hong Kong Quantum AI Lab, AIR@InnoHK

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcc.3c00765

Reference54 articles.

1. Mechanistic understanding and design of non-noble metal-based single-atom catalysts supported on two-dimensional materials for CO2 electroreduction

2. Synthesis of a Nickel Single-Atom Catalyst Based on Ni–N4–xCx Active Sites for Highly Efficient CO2 Reduction Utilizing a Gas Diffusion Electrode

3. 2D Single-Atom Fe–N–C Catalyst Derived from a Layered Complex as an Oxygen Reduction Catalyst for PEMFCs

4. Recent Advances on Nanomaterials for Electrocatalytic CO2 Conversion

5. Electrochemical Oxygen Reduction to Hydrogen Peroxide via a Two‐Electron Transfer Pathway on Carbon‐Based Single‐Atom Catalysts

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1. Electroreduction of nitrate to ammonia on graphyne-based single-atom catalysts by combined density functional theory and machine learning study;Separation and Purification Technology;2025-02

2. A review of advancements in theoretical simulation of oxygen reduction reaction and oxygen evolution reaction single-atom catalysts;Materials Today Sustainability;2024-09

3. Accelerating electrocatalyst design for CO2 conversion through machine learning: Interpretable models and data-driven innovations;Nexus;2024-09

4. Electronic Properties of Single-Atom Metal Catalysts Supported on Nitrogen-Doped Carbon;The Journal of Physical Chemistry C;2024-08-07

5. DFT and machine learning studies on a multi-functional single-atom catalyst for enhanced oxygen and hydrogen evolution as well as CO2 reduction reactions;International Journal of Hydrogen Energy;2024-08

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