Results 181 to 190 of about 39,702 (305)

Magnetic‐Field‐Enabled Ultrafast Quench Synthesis of Single‐Atom Catalysts for Efficient Anion Exchange Membrane Water Electrolysis

Angewandte Chemie, EarlyView.
We report a universal magnetic‐field‐enabled quench strategy for the ultrafast synthesis of diverse single‐atom catalysts within seconds. This simple and low‐cost method yields highly active catalysts with excellent performance in anion exchange membrane water electrolysis. ABSTRACT Single‐atom catalysts (SACs) play a critical role in diverse catalytic
Shenghua Chen, Yaqiong Su, Kaixin Liang, Yiqing Sun, Fangkun Fan, Yifei Shen, Lingyou Zeng, Kai Xi, Chunhui Xiao, Xiaobo Zheng, Dingsheng Wang, Guoxiu Wang, Ya‐Ling He   +12 more
wiley   +2 more sources

Unifying Scaling Relations and Multiple Reaction Mechanisms for Screening Transition Metal-Doped Co₃O₄ for Oxygen Evolution Reaction. [PDF]

Angew Chem Int Ed Engl
Dhaka K, Amin HMA, Beschi D, Schellenburg D, Mockenhaupt B, Barcikowski S, Schulz S, Exner KS.   +7 more
europepmc   +1 more source

Advancements in Graphdiyne‐Based Multiscale Catalysts for Green Hydrogen Energy Conversion

Advanced Intelligent Discovery, EarlyView.
This review systematically explores the fundamental characteristics of graphdiyne (GDY), cutting‐edge field of GDY‐based multiscale catalysts within sustainable energy conversion systems.Special emphasis is placed on the structure‒property relationships in different reactions.
Qian Xiao, Lu Qi, Siao Chen, Yurui Xue
wiley   +1 more source

Ketal Protection of Glycerol for Selective Electrosynthesis of Glyceric Acid in Highly Alkaline Media

Angewandte Chemie, EarlyView.
Using a ketal‐protected glycerol derivative (solketal) as the oxidation substrate enables site‐selective electrooxidation that suppresses C–C cleavage on non‐noble catalysts. Highly alkaline conditions promote reactive solketal alkoxide formation, weaken the Cα─H bond to facilitate dehydrogenation, and buffer local acidification, enabling a record‐high
Jiamin Wang, Baokun Zhang, Kanglei Pang, Egon Campos dos Santos, Hong Liu, Mats Johnsson, Xiaowen Yu   +6 more
wiley   +2 more sources

ASP∀

Proceedings of the International Florida Artificial Intelligence Research Society Conference
Answer Set Programming (ASP) languages represent an important advancement in declarative (logic) programming. First proposed in the late 90s, the paradigm is based on the stable model semantics of formal logic.
Joshua Guerin, David Gonzalez Sua, Jackson Madsen   +2 more
doaj  

Interfacial Fe-Mo electronic coupling in FeMoO₄/carbon hybrids for efficient and durable alkaline overall water splitting. [PDF]

RSC Adv
Murugesan R, Yesupatham MS, Amiri M, Maruthapillai A.   +3 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

Strain Engineering via W–O–Ru Interfacial Coupling to Suppress Lattice Oxygen Activation for Stable Acidic Water Electrolysis

Angewandte Chemie, EarlyView.
Constructing atomically coupled W–O–Ru interfacial units on RuO2 triggers a dynamic strain evolution during the oxygen evolution reaction. An initial tensile strain secures structural stability, while a self‐adjusting transition to interfacial compression optimizes catalytic activity.
Yi Guan, Xiaozhang Yao, Ruiwen Qi, Xiangzhong Ren, Gaowa Liu, Zhongxin Song, Lei Zhang, Xueliang Sun   +7 more
wiley   +2 more sources

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

Advanced Electrode Materials for Water Electrolysis: Design Principles, Performance Trade-Offs, and Technology Pathways Across ALK, PEM, SOEC, and AEM Systems. [PDF]

Materials (Basel)
Łosiewicz B.
europepmc   +1 more source