Results 251 to 260 of about 88,182 (323)

Machine Learning‐Driven Prediction and Optimization of Cu‐Based Catalysts for CO2 Hydrogenation to Methanol

Carbon and Hydrogen, EarlyView.
A machine‐learning framework integrating multimodel prediction, feature selection, and SHAP interpretability is developed to uncover structure–performance relationships of Cu‐based CO2‐to‐methanol catalysts. The optimized XGBoost model and an online prediction platform enable accurate selectivity prediction and data‐driven catalyst design.
Conglong Su, Zhangkai Jing, Qiuming Zhou, Yuan Zhu, Sishi Ye, Tianye Wang, Kuo Chen, Xuebin Luan, Zhigang Tang, Run Xu, Chaopeng Hou, Hongwei Li   +11 more
wiley   +1 more source

Decoding Electrocatalyst Degradation Using Time-Resolved Electrochemical Impedance Analysis. [PDF]

JACS Au
Zheng W, Chen S.
europepmc   +1 more source

Enhanced Electrooxidation of Glycerol to Lactate Over FeOx‐Modified Au Catalysts

Carbon and Hydrogen, EarlyView.
A FeOₓ‐modified Au catalyst on nickel foam, fabricated via facile electrodeposition, achieves high‐current‐density (310 mA cm−2) and selective (78.1%) electrooxidation of glycerol to lactate at room temperature, offering a sustainable route for biodiesel by‐product valorization.
Hongji Liu, Yingjie Hu, Ruoyu Wu, Yang Song, Abdullah N. Alodhayb, Xiaodong Yi, Zhou Chen   +6 more
wiley   +1 more source

Catalyst for Industrial-Scale Seawater Electrolysis: Inhibit Active Metal Dissolution and Chlorine Corrosion. [PDF]

Adv Sci (Weinh)
Wang P, Zheng J, Li Y, Shi Q, Zhang J, Wan Y, Niu M, Yamauchi Y, Long YZ.   +8 more
europepmc   +1 more source

Oxophilicity‐Driven Potential Window Engineering Enables Scalable and Low‐Emission Paired Electrosynthesis on Asymmetric CuOx@Ag Platform

Carbon and Hydrogen, EarlyView.
An asymmetric CuOx@Ag electrocatalyst platform enables paired electrochemical valorization of glycerol and 4‐nitrophenol, while effectively decoupling both half‐reactions from OER and HER. Ag‐mediated surface engineering expands the potential window and boosts reaction selectivity, achieving > 90% Faradaic efficiencies at both electrodes.
Xulai Gong, Linjie Zhao, Yongde Long, Hongwu Chen, Jiaxin Bai, Lei Chao, Xinyou Han, Baoguang Mao, Xianwei Liu, Yuanqing Shen, Wei Liu, Bowen Liu, Husitu Lin, Yang Song, Chuangang Hu   +14 more
wiley   +1 more source

High-performance oxygen reduction electrocatalysis enabled by Ni_corePd_shell nanoparticles immobilized on MoS₂ nanosheets.

Nanoscale
Minadakis MP, Sato Y, Canton-Vitoria R, Suenaga K, Tagmatarchis N.   +4 more
europepmc   +1 more source

Surface-Engineered Manganese Oxide via Sodium Borohydride for Optimized ORR Active Electrocatalyst. [PDF]

ACS Omega
Kp J, Pandey J.
europepmc   +1 more source

Cu‐Co Oxide/Carbon Composites Modified by DBD Plasma for Flexible Zn‐Air Battery Cathodes

Carbon and Hydrogen, EarlyView.
A Cu3‐Co1/AC‐DBD composite catalyst was prepared using a “stepwise synthesis plasma synergistic modification” strategy, which exhibits excellent bifunctional catalytic activity. ABSTRACT This study is aimed at the demand for high‐performance energy storage systems in flexible wearable electronic devices, focusing on the development of cathode catalysts
Haixia Wu, Sai Li, Na Liu, Yuhang Wang, Shuoshuo Wang, Yameng Ma, Zekai Ma, Kui Zhang, Dongyuan Yang   +8 more
wiley   +1 more source

Nanoscale Degradation Study of a Commercial Pt-Co/C Fuel-Cell Electrocatalyst at Elevated Temperature Utilizing Identical-Location Scanning Transmission Electron Microscopy. [PDF]

J Phys Chem C Nanomater Interfaces
Matošin A, Bijelić L, Kamšek AR, Dražić G, Gatalo M, Bele M, Hodnik N.   +6 more
europepmc   +1 more source

Fabrication, Modification, and Applications of Functional Aerogels: A Review

Carbon and Hydrogen, EarlyView.
Advances in aerogel materials synthesis modification properties applications and future perspectives. ABSTRACT Aerogels, characterized by a highly porous three‐dimensional nanoscale structure, possess exceptional properties such as ultra‐low density, high specific surface area, and remarkably low thermal conductivity.
Jinshuo Zhang, Jianbing Wang, Yi Fang, Wangliang Li   +3 more
wiley   +1 more source