Carbon‐Based Materials for Electrocatalytic Hydrogen Evolution Reaction DOI
Zhenning Wang,

Sundus Umer,

Hao Lu

et al.

Published: Dec. 13, 2024

Traditional hydrogen evolution reaction (HER) catalysts are generally noble metals, but their application is limited due to high cost and poor stability. Through research, carbon-based have also shown good HER performance. These advantages such as low stability, making them a potential alternative traditional metal catalysts. This chapter focuses on series of well-performing catalysts, porous carbons, low-dimensional carbon materials, metal–organic framework (MOF) atomic doping materials applications, catalytic mechanisms in HER. The strategies improve activity discussed, including increasing specific surface area, with heteroatoms, preparing composite materials. It hoped that these methods material synthesis will be helpful inspire readers engage the field

Language: Английский

Next-Generation Green Hydrogen: Progress and Perspective from Electricity, Catalyst to Electrolyte in Electrocatalytic Water Splitting DOI Creative Commons
Xueqing Gao, Yutong Chen,

Yujun Wang

et al.

Nano-Micro Letters, Journal Year: 2024, Volume and Issue: 16(1)

Published: July 5, 2024

Green hydrogen from electrolysis of water has attracted widespread attention as a renewable power source. Among several production methods, it become the most promising technology. However, there is no large-scale system currently that can compete with conventional fossil fuel production. Renewable energy electrocatalytic splitting an ideal technology environmental cleanliness protection and good purity, which meet requirements future development. This review summarizes introduces current status by three aspects: electricity, catalyst electrolyte. In particular, present situation latest progress key sources power, catalytic materials electrolyzers for are introduced. Finally, problems generation electrolytic directions next-generation green in discussed outlooked. It expected this will have important impact on field water.

Language: Английский

Citations

52

Engineering Non‐precious Trifunctional Cobalt‐Based Electrocatalysts for Industrial Water Splitting and Ultra‐High‐Temperature Flexible Zinc‐Air Battery DOI

Tengteng Gu,

Jiadong Shen,

Zhaoyu Sun

et al.

Small, Journal Year: 2024, Volume and Issue: 20(25)

Published: Jan. 7, 2024

Abstract Developing efficient, robust, and cost‐effective trifunctional catalysts for the hydrogen evolution reaction (HER), oxygen (OER) reduction (ORR) at high current density temperature is crucial water splitting industry‐level conditions ultra‐high‐temperature Zinc‐air battery (ZAB). Herein, cobalt nanoparticles well‐integrated with nitrogen‐doped porous carbon leaves (Co@NPCL) by direct annealing of core‐shell bimetallic zeolite imidazolate frameworks synthesized. Benefiting from homogeneous distribution metallic Co nanoparticles, conductive carbon, doped N species, as‐fabricated Co@NPCL exhibit outstanding performances low overpotentials 10 mA cm −2 HER (87 mV) OER (276 mV), long‐lasting lifetime over 2000 h, a half‐wave potential 0.86 V versus RHE ORR. Meanwhile, catalyst can serve as both cathode anode industrial conduction, stable cell voltage 1.87 to deliver constant catalytic 500 60 h. Moreover, excellent activity enables flexible ZAB operate efficiently ultra‐high 70 °C, delivering 162 mW peaks power an impressive stability 4500 min 2 .

Language: Английский

Citations

9

Advanced theoretical modeling methodologies for electrocatalyst design in sustainable energy conversion DOI Creative Commons
Tianyi Wang, Qilong Wu, Yun Han

et al.

Applied Physics Reviews, Journal Year: 2025, Volume and Issue: 12(1)

Published: Feb. 6, 2025

Electrochemical reactions are pivotal for energy conversion and storage to achieve a carbon-neutral sustainable society, optimal electrocatalysts essential their industrial applications. Theoretical modeling methodologies, such as density functional theory (DFT) molecular dynamics (MD), efficiently assess electrochemical reaction mechanisms electrocatalyst performance at atomic levels. However, its intrinsic algorithm limitations high computational costs large-scale systems generate gaps between experimental observations calculation simulation, restricting the accuracy efficiency of design. Combining machine learning (ML) is promising strategy accelerate development electrocatalysts. The ML-DFT frameworks establish accurate property–structure–performance relations predict verify novel electrocatalysts' properties performance, providing deep understanding mechanisms. ML-based methods also solution MD DFT. Moreover, integrating ML experiment characterization techniques represents cutting-edge approach insights into structural, electronic, chemical changes under working conditions. This review will summarize DFT current application status design in various conversions. underlying physical fundaments, advancements, challenges be summarized. Finally, future research directions prospects proposed guide revolution.

Language: Английский

Citations

1

Unraveling the mechanism of pyrrole and N-defect regulating CoN4 single atom catalysts as a pH-universal bifunctional electrocatalyst for OER and ORR DOI
Chen‐Shuang Yin, Yan Leng, Xikun Yang

et al.

Applied Surface Science, Journal Year: 2023, Volume and Issue: 643, P. 158605 - 158605

Published: Oct. 5, 2023

Language: Английский

Citations

19

Directional Construction of Low-Coordination Fe–N3 Coupled with Intrinsic Carbon Defects for High-Efficiency Oxygen Reduction DOI
Xinrui Li,

Guanying Ye,

Weiwei Zhu

et al.

ACS Nano, Journal Year: 2024, Volume and Issue: 18(35), P. 24505 - 24514

Published: Aug. 21, 2024

Regulating the coordination environment of Fe-N

Language: Английский

Citations

6

A review of novel materials for nano-photocatalytic and optoelectronic applications: recent perspectives, water splitting and environmental remediation DOI
George G. Njema, Joshua K. Kibet

Deleted Journal, Journal Year: 2024, Volume and Issue: 1(4), P. 100018 - 100018

Published: Sept. 11, 2024

Language: Английский

Citations

6

Modification Strategies for Development of 2D Material‐Based Electrocatalysts for Alcohol Oxidation Reaction DOI Creative Commons

Haichang Fu,

Zhangxin Chen, Xiaohe Chen

et al.

Advanced Science, Journal Year: 2023, Volume and Issue: 11(37)

Published: Dec. 3, 2023

2D materials, such as graphene, MXenes (metal carbides and nitrides), graphdiyne (GDY), layered double hydroxides, black phosphorus, are widely used electrocatalyst supports for alcohol oxidation reactions (AORs) owing to their large surface area unique charge transport channels. Furthermore, the development of highly efficient electrocatalysts AORs via tuning structure support materials has recently become a hot area. This article provides critical review on modification strategies develop material-based AOR. First, principles influencing factors electrocatalytic alcohols (such methanol ethanol) introduced. Second, molecular functionalization, heteroatom doping, composite hybridization deeply discussed improve material catalyst AORs. Finally, challenges perspectives outlined. will promote further efforts in

Language: Английский

Citations

13

Advancements in defect engineering of two-dimensional nanomaterial-based membranes for enhanced gas separation DOI
Wenjia Luo,

Changzheng Wang,

Xueguo Li

et al.

Chemical Communications, Journal Year: 2024, Volume and Issue: 60(28), P. 3745 - 3763

Published: Jan. 1, 2024

Defect engineering of 2D nanomaterials for gas capture in membrane separation processes.

Language: Английский

Citations

4

Novel coal-based carbon encapsulating Co-N-C derived from ZIF-67 composite as an efficient chainmail electrocatalyst for zinc-air batteries DOI
Hongtao Xie,

Jing Lei,

Qin Li

et al.

Journal of Power Sources, Journal Year: 2024, Volume and Issue: 615, P. 235103 - 235103

Published: July 26, 2024

Language: Английский

Citations

4

Enhancing carbon activity in C@hcp-NiPt/NF electrocatalyst for pH-universal hydrogen evolution DOI
Chang Liu,

Guijuan Wei,

Honglei Chen

et al.

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0