Machine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity DOI
Yao Hu, Bo Hu, Haihui Lan

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 28, 2024

Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis these becomes increasingly challenging as disparity between metal elements grows, due to differences atomic sizes, melting points, chemical affinities. This study data-driven approach incorporating sample balancing enhancement techniques multilayer perceptron (MLP) algorithms improve model's ability handle imbalanced data, significantly boosting efficiency experimental parameter optimization. Building on this enhanced data processing framework, we developed an entropy-engineered specifically designed produce stable, nanometric copper cobalt (CuCo) alloys. Under conditions −0.425 V (vs RHE), CuCo alloy exhibited nearly 100% Faraday (FE) high ammonia production rate 232.17 mg h–1 mg–1. Stability tests simulated industrial environment showed that catalyst maintained over 80% FE exceeding 170 mg–1 testing period 120 h, outperforming most reported catalysts. To delve deeper into synergistic interaction mechanisms Cu Co, situ Raman spectroscopy was for real-time monitoring, density functional theory (DFT) calculations further substantiated our findings. These results not only highlight exceptional catalytic performance but also reflect effective electronic interactions two metals.

Language: Английский

Pore Engineering in Biomass-Derived Carbon Materials for Enhanced Energy, Catalysis, and Environmental Applications DOI Creative Commons
Qi Wang, Bing Luo, Zhaoyu Wang

et al.

Molecules, Journal Year: 2024, Volume and Issue: 29(21), P. 5172 - 5172

Published: Oct. 31, 2024

Biomass-derived carbon materials (BDCs) are highly regarded for their renewability, environmental friendliness, and broad potential application. A significant advantage of these lies in the high degree customization physical chemical properties, especially terms pore structure. Pore engineering is a key strategy to enhance performance BDCs critical areas, such as energy storage, catalysis, remediation. This review focuses on engineering, exploring definition, classification, adjustment techniques structures, well how factors affect application energy, Our aim provide solid theoretical foundation practical guidance facilitate rapid transition from laboratory industrial applications.

Language: Английский

Citations

6
Ultra-Precise Ruler for Ammonia Nitrogen Quantification in Electrochemical Synthesis Experiments DOI
Yao Hu,

Donghui Wang,

Bo Hu

et al.

Analytical Methods, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

The field of electrochemical ammonia synthesis has made rapid advancements, attracting a large number scientists to contribute this area research. Accurate detection is crucial in process for evaluating the efficiency and selectivity electrocatalysts. In study, we systematically investigate indophenol blue method detection, examining effects key factors such as solution pH, nitrate concentration, metal ion concentration on measurement accuracy. Based experimental optimization mathematical algorithms, propose an iterative refinement supported by custom-developed code. This automates generation adjustment calibration curves, reduces errors, enhances precision, offering valuable framework quantitative other small molecules synthesis.

Language: Английский

Citations

0
Quantum-dot-like Bi/Bi2O2CO3 heterostructures via in situ MOF reconstruction toward efficient CO2-to-Formate conversion over a wide potential window DOI
Na Zhang, Huan Yang,

Zunqing Wen

et al.

Applied Surface Science, Journal Year: 2025, Volume and Issue: unknown, P. 163351 - 163351

Published: April 1, 2025

Language: Английский

Citations

0
Machine learning-driven catalyst design, synthesis and performance prediction for CO2 hydrogenation DOI
Muhammad Asif,

Chengxi Yao,

Zitu Zuo

et al.

Journal of Industrial and Engineering Chemistry, Journal Year: 2024, Volume and Issue: 144, P. 32 - 47

Published: Sept. 21, 2024

Language: Английский

Citations

2
Anomalous Catalytic Performance on Non‐Active‐Site Carbon Substrate DOI

Wenxing Sun,

Yao Hu, Jinlong Gong

et al.

ChemSusChem, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 14, 2024

Carbon-based nanomaterials are gaining attention in electrocatalysis. This study investigates the inherent nitrate reduction activity (NO

Language: Английский

Citations

2
Synergy of Cu-Doping and In Situ Reconstruction on Bi2O2CO3 for Promoting CO2 Electroreduction Over Wide pH Range DOI
Shengnan Zhang, Xiaoyan Zhang, J. C. Yang

et al.

Chemical Communications, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 13, 2024

Doping Cu and in situ electrochemical reconstruction on Bi 2 O CO 3 optimize the hybridization between 6p of 2p *OCHO, leading to high HCOO − faradaic efficiency >96% all-pH range satisfactory durability.

Language: Английский

Citations

0
Machine Learning Boosted Entropy-Engineered Synthesis of CuCo Nanometric Solid Solution Alloys for Near-100% Nitrate-to-Ammonia Selectivity DOI
Yao Hu, Bo Hu, Haihui Lan

et al.

ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 28, 2024

Nanometric solid solution alloys are utilized in a broad range of fields, including catalysis, energy storage, medical application, and sensor technology. Unfortunately, the synthesis these becomes increasingly challenging as disparity between metal elements grows, due to differences atomic sizes, melting points, chemical affinities. This study data-driven approach incorporating sample balancing enhancement techniques multilayer perceptron (MLP) algorithms improve model's ability handle imbalanced data, significantly boosting efficiency experimental parameter optimization. Building on this enhanced data processing framework, we developed an entropy-engineered specifically designed produce stable, nanometric copper cobalt (CuCo) alloys. Under conditions −0.425 V (vs RHE), CuCo alloy exhibited nearly 100% Faraday (FE) high ammonia production rate 232.17 mg h–1 mg–1. Stability tests simulated industrial environment showed that catalyst maintained over 80% FE exceeding 170 mg–1 testing period 120 h, outperforming most reported catalysts. To delve deeper into synergistic interaction mechanisms Cu Co, situ Raman spectroscopy was for real-time monitoring, density functional theory (DFT) calculations further substantiated our findings. These results not only highlight exceptional catalytic performance but also reflect effective electronic interactions two metals.

Language: Английский

Citations

0