Results 161 to 170 of about 11,648 (266)

Impact of Crystallinity and Ni-Fe Composition on the Oxygen Evolution Performance of Ni_xFe_1-xO Electrocatalysts in Anion Exchange Membrane Water Electrolysis. [PDF]

ChemSusChem
Muhammad A, Rodriguez-Flores T, Muhyuddin M, Di Fonzo F, Berretti E, Lavacchi A, Lo Vecchio C, Gatto I, Baglio V, Nisticò R, Santoro C.   +10 more
europepmc   +1 more source

Reconstructed Bi‐Sn Interfacial Sites Coupled with a Supramolecular Cation Cage Enable Low K+ Acidic CO2 Electroreduction to Formate

Advanced Energy Materials, EarlyView.
Pyrochlore‐derived Bi–Sn interfaces enable selective CO2 electroreduction to HCOOH in strongly acidic media (pH = 1). Interfacial electronic coupling promotes *OCHO formation while suppressing hydrogen evolution. Cryptand‐driven cation regulation enriches interfacial K+, maintaining high HCOOH faradaic efficiency of 94% even at low K+ electrolyte ...
Abdelmoniem H. Abu‐Ghazala, Xin Huang, Hsiwen Wu, Paul A. Webley, Shixia Chen, Jun Wang, Jie Zhang   +6 more
wiley   +1 more source

Correction: Huang et al. Constructing Molybdenum Phosphide@Cobalt Phosphide Heterostructure Nanoarrays on Nickel Foam as a Bifunctional Electrocatalyst for Enhanced Overall Water Splitting. <i>Molecules</i> 2023, <i>28</i>, 3647. [PDF]

Molecules
Huang Y, Chen H, Zhang B.
europepmc   +1 more source

Hierarchically engineered electrocatalysts for durable oxygen reduction in zinc–air batteries

AIChE Journal, EarlyView.
Abstract Rechargeable zinc–air batteries (ZABs) are promising energy storage systems but are limited by sluggish oxygen reduction reaction (ORR) kinetics at the air cathode. Herein, we report hierarchically engineered cobalt tetraaminophthalocyanine/MXene (CoPc/MXene) electrocatalysts prepared via cetyltrimethylammonium bromide‐mediated self‐assembly ...
Rui Guo, Houting Xie, Zhen Liu, Jiamin Lan, Bufeng Zhang, Omid Mazaheri, Shuaijun Pan   +6 more
wiley   +1 more source

Role of RGO and RGO-Pt as an attractive electrocatalyst for efficient electrochemical reduction of U(VI) in HNO₃. [PDF]

Sci Rep
Pal KK, Ghosh C, Pandian R, Yadav RK, Dhara S.   +4 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Molecular Electrocatalyst Enables Direct Electrochemical Capture and Conversion of CO₂ up to Atmospheric Concentration. [PDF]

Angew Chem Int Ed Engl
Vettori M, Franco F, Fernández S, Pey G, Diaconescu VM, Luis JM, Lloret-Fillol J.   +6 more
europepmc   +1 more source

FastCat: Autonomous Discovery of Multielement Layered Double Hydroxide Alloy Catalysts for Alkaline Oxygen Evolution Reaction

Advanced Intelligent Discovery, EarlyView.
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker, Enzo Raffaele Moretti, Jin Hyun Chang, Tejs Vegge   +3 more
wiley   +1 more source

Optimizing operating conditions and stability evaluation of Fe/Co-NC catalyst in proton exchange membrane fuel cell. [PDF]

Sci Rep
Gharibi H, Teimourikhabazi M, Banazadeh S, Zhiani M, Taghiabadi MM.   +4 more
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source