Mechanism of Phenols Evolution During Pyrolysis of Shendong Coal Macerals Swelled with Oxygen-Containing Organic Solvent: Experimental and Dft Study DOI
Linyang Wang,

Qiuxiang Yao,

Rui Cao

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

A review of catalytic conversion of coal tar value-added chemicals at the molecular level based on first principles DOI
Lei He, Shanglong Zhang,

Qiuxiang Yao

et al.

Energy Conversion and Management, Journal Year: 2025, Volume and Issue: 326, P. 119466 - 119466

Published: Jan. 2, 2025

Language: Английский

Citations

1
Recent developments in the use of machine learning in catalysis: A broad perspective with applications in kinetics DOI Creative Commons
Leandro Goulart de Araujo, Léa Vilcocq, Pascal Fongarland

et al.

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160872 - 160872

Published: Feb. 1, 2025

Language: Английский

Citations

1
A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis DOI

Faisal Al-Akayleh,

Ahmed S.A. Ali Agha,

Rami A. Abdel Rahem

et al.

Tenside Surfactants Detergents, Journal Year: 2024, Volume and Issue: 61(4), P. 285 - 296

Published: April 29, 2024

Abstract This review critically analyzes the incorporation of artificial intelligence (AI) in surface chemistry and catalysis to emphasize revolutionary impact AI techniques this field. The current examines various studies that using techniques, including machine learning (ML), deep (DL), neural networks (NNs), catalysis. It reviews literature on application models predicting adsorption behaviours, analyzing spectroscopic data, improving catalyst screening processes. combines both theoretical empirical provide a comprehensive synthesis findings. demonstrates applications have made remarkable progress properties nanostructured catalysts, discovering new materials for energy conversion, developing efficient bimetallic catalysts CO 2 reduction. AI-based analyses, particularly advanced NNs, provided significant insights into mechanisms dynamics catalytic reactions. will be shown plays crucial role by significantly accelerating discovery enhancing process optimization, resulting enhanced efficiency selectivity. mini-review highlights challenges data quality, model interpretability, scalability, ethical, environmental concerns AI-driven research. importance continued methodological advancements responsible implementation

Language: Английский

Citations

8
Mechanism of phenols evolution during pyrolysis of Shendong coal macerals swelled with oxygen-containing organic solvents: Experimental and DFT study DOI
Linyang Wang,

Qiuxiang Yao,

Rui Cao

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 493, P. 152648 - 152648

Published: May 28, 2024

Language: Английский

Citations

7
Promoting cross-linking reactivity of coal molecules via swelling strategy to realize high performance coal-derived hard carbon anode DOI
Jiangqi Niu,

Jiayao Cheng,

Zonglin Yi

et al.

Journal of Electroanalytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 119060 - 119060

Published: March 1, 2025

Language: Английский

Citations

0
A novel dual-way inference modeling method for coal coking: Predicting H2 and CH4 concentrations in coke oven gas and inferring optimal reaction conditions DOI
Xiaoguo Zhang,

Danni Ren,

Xiaolan Fu

et al.

Fuel, Journal Year: 2024, Volume and Issue: 381, P. 133325 - 133325

Published: Oct. 5, 2024

Language: Английский

Citations

3
Deep eutectic solvent assisted swell and highly efficient catalytic pyrolysis of raw coal DOI

Caige Wang,

Tao Wang, Qian Liu

et al.

Fuel, Journal Year: 2024, Volume and Issue: 362, P. 130803 - 130803

Published: Jan. 3, 2024

Language: Английский

Citations

1
Mechanism of Phenols Evolution During Pyrolysis of Shendong Coal Macerals Swelled with Oxygen-Containing Organic Solvent: Experimental and Dft Study DOI
Linyang Wang,

Qiuxiang Yao,

Rui Cao

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0