Density Functional Theory Investigation on the Nitrogen Reduction Mechanism in Two-Dimensional Transition-Metal Boride with Ordered Metal Vacancies DOI
Linghuan Ma, Xianfei Chen,

Yi Huang

et al.

Langmuir, Journal Year: 2024, Volume and Issue: 40(28), P. 14355 - 14367

Published: July 4, 2024

The creation of ordered collective vacancies in experiment proves challenging within a two-dimensional lattice, resulting limited understanding their impact on catalyst performance. Motivated by the successful experimental synthesis monolayer molybdenum borides with precisely metal [Zhou et al.

Language: Английский

Recent advances in electrocatalytic ammonia synthesis DOI
Ling Ouyang, Jie Liang,

Yongsong Luo

et al.

CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Journal Year: 2023, Volume and Issue: 50, P. 6 - 44

Published: July 1, 2023

Language: Английский

Citations

183

Design of novel transition-metal-doped C4N4 as highly effective electrocatalysts for nitrogen fixation with a new intrinsic descriptor DOI
Cheng He,

Jianglong Ma,

Yibo Wu

et al.

Journal of Energy Chemistry, Journal Year: 2023, Volume and Issue: 84, P. 131 - 139

Published: June 1, 2023

Language: Английский

Citations

52

CxNy-based materials as gas sensors: Structure, performance, mechanism and perspective DOI Creative Commons

Mengshan Chen,

Haoran Zhang, Hui Li

et al.

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 503, P. 215653 - 215653

Published: Jan. 9, 2024

Carbon nitride (CxNy) materials, characterized by an ordered two-dimensional without metal ions structure high N:C ratio, phase transition transformation, predispose them for promising applications in catalytic reaction, flexible electronics, broadband photodetectors and battery. However, up to now, its potential advantages gas sensor have yet be fully explored. This review provides a comprehensive overview of recent advances CxNy-based materials applied as substrates covering structure, properties, synthesis methods, enhancement strategies. A rigorous assessment their sensing capabilities, including sensitivity, selectivity, stability was critically summarized. Additionally, the molecule-level mechanistic aspects underlying gas-sensing working principles insights into functional properties were discussed. Furthermore, thorough investigations utilizing density theory (DFT) studies, aimed illuminating fundamental governing behavior presented detail. Finally, futuristic along with challenges CxNy deliberated herein.

Language: Английский

Citations

37

Advancing electrocatalytic reactions through mapping key intermediates to active sites via descriptors DOI
Xiaowen Sun, Rafael B. Araujo, Egon Campos dos Santos

et al.

Chemical Society Reviews, Journal Year: 2024, Volume and Issue: 53(14), P. 7392 - 7425

Published: Jan. 1, 2024

Descriptors play a crucial role in electrocatalysis as they can provide valuable insights into the electrochemical performance of energy conversion and storage processes. They allow for understanding different catalytic activities enable prediction better catalysts without relying on time-consuming trial-and-error approaches. Hence, this comprehensive review focuses highlighting significant advancements commonly used descriptors critical electrocatalytic reactions. First, fundamental reaction processes key intermediates involved several reactions are summarized. Subsequently, three types classified introduced based catalysts. These include d-band center descriptors, readily accessible intrinsic property spin-related all which contribute to profound behavior. Furthermore, multi-type that collectively determine also Finally, we discuss future envisioning their potential integrate multiple factors, broaden application scopes, synergize with artificial intelligence more efficient catalyst design discovery.

Language: Английский

Citations

18

From Single Metals to High‐Entropy Alloys: How Machine Learning Accelerates the Development of Metal Electrocatalysts DOI

Xinyu Fan,

Letian Chen,

Dulin Huang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: 34(34)

Published: April 25, 2024

Abstract The rapid advancement of high‐performance computing and artificial intelligence technology has opened up novel avenues for the development various metal electrocatalysts. In particular, dilute high‐entropy alloys have garnered significant attention owing to their unique electronic spatial structures, as well exceptional electrocatalytic performance. Commencing with exploration single‐atom alloy catalysts, latest advancements in machine learning (ML) techniques are presented efficient screening a broad spectrum spaces. Subsequently, review delves into prevailing trend research, focusing specifically on rare‐metal electrocatalysts, offers an overview progress outcomes achieved through application ML these domains. Finally, highlighted promising category electrocatalysts underscore importance potential applications addressing complex challenging research issues underscored.

Language: Английский

Citations

17

Theoretical inspection of high-efficiency single-atom catalysts based on π-π conjugated holey graphitic g-C7N3 monolayer: Marvelous water-splitting and oxygen reduction reactions activities DOI
Chunyao Fang,

Xihang Zhang,

Qiang Zhang

et al.

Journal of Material Science and Technology, Journal Year: 2024, Volume and Issue: 198, P. 143 - 157

Published: March 26, 2024

Language: Английский

Citations

12

Nickel molybdenum selenide on carbon cloth as an efficient bifunctional electrocatalyst for alkaline seawater splitting DOI
Mohammad Saquib, Pratham Arora, Amit C. Bhosale

et al.

Fuel, Journal Year: 2024, Volume and Issue: 365, P. 131251 - 131251

Published: Feb. 26, 2024

Language: Английский

Citations

11

Single-atom catalytic N2 fixation with integrated descriptors on a novel π-π conjugated graphitic carbon nitride (g-C13N15) platform obtained by self-doping design: Prediction of ultrahigh activity and desirable selectivity DOI
Yali Lu, Chunyao Fang, Qiang Zhang

et al.

Journal of Power Sources, Journal Year: 2024, Volume and Issue: 595, P. 234030 - 234030

Published: Jan. 11, 2024

Language: Английский

Citations

6

Single transition-metal atoms anchored on a novel Dirac-dispersive π-π conjugated holey graphitic carbon nitride substrate: computational screening toward efficient bifunctional OER/ORR electrocatalysts DOI
Chunyao Fang,

Xihang Zhang,

Qiang Zhang

et al.

Rare Metals, Journal Year: 2024, Volume and Issue: 43(8), P. 3819 - 3832

Published: April 29, 2024

Language: Английский

Citations

4

Single-, Double-, and Triple-atom Catalysts on PC6 for Nitrate Reduction to Ammonia: A Computational Screening DOI
Jinrui Huang, Shixiang Hu, Mengran Liu

et al.

Electrochimica Acta, Journal Year: 2024, Volume and Issue: 504, P. 144915 - 144915

Published: Aug. 15, 2024

Language: Английский

Citations

4