Results 211 to 220 of about 11,467,391 (359)

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

Capped Vapor-Liquid-Solid Growth of Vanadium-Substituted Molybdenum Disulfide Ultrathin Films for Enhanced Photocatalytic Activity. [PDF]

ACS Nano
Huang PP, Qorbani M, Hung YT, Lai YR, Sabbah A, Tseng MF, Huang CY, Koodathil S, Kholimatussadiah S, Hussien MK, Feng TH, Liu YH, Wang H, Lin JW, Wang CH, Wu CI, Hayashi M, Chen KH, Chen LC.   +18 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Photocatalytic Activity of Ionic Carbon Nitrides is Governed by Cation-Modulated Dark Exciton Dynamics. [PDF]

Adv Sci (Weinh)
Konar A, Liessem J, Im C, Elnagar MM, Mitoraj D, Saini P, Krivtsov I, Finkelmeyer SJ, Griebel J, Presselt M, Jacob T, Beranek R, Dietzek-Ivanšić B.   +12 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Surface Evolution and Visible-Light Photocatalytic Activity of Sol-Gel Derived Co₃O₄ Thin Films as a Function of Annealing Temperature. [PDF]

Gels
Barragán-Méndez HI, Acosta-Silva YJ, Rivas S, Gallardo-Hernández S, Méndez-López A.   +4 more
europepmc   +1 more source

Efficiency and High Photocatalytic Activity

International Journal of Electrochemical Science, 2014
Xin Yan, Xiaojun Huang, Ying Fang, Yahong Min, Zhenjun Wu, Wensheng Li, Jianmin Yuan, Ligang Tan   +7 more
openaire   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

Incorporation of Organic Counter‐Cations Into Poly(Heptazine Imide) Networks for Promoting Proton‐Coupled Electron Transfer During Photocatalytic H2O2 Evolution

Angewandte Chemie, EarlyView.
Incorporation of N‐based onium ions into the ionic framework of poly(heptazine imide) was obtained via protonation‐deprotonation of PHI frameworks arising from a parent Na‐containing analogue. Particularly, methylammonium moieties, through their small molecular size, hydrogen bonding capabilities and rotational mobility, appear to stabilize ...
Dingqiao Ji, Hikmat Binyaminov, Desiree Leistenschneider, Martin Oschatz, Paolo Giusto, Markus Antonietti, Horațiu Szalad   +6 more
wiley   +2 more sources

Data-driven approach to elucidate the correlation between photocatalytic activity and rate constants from excited states. [PDF]

Chem Sci
Kunisada R, Hayashi M, Rohlfs T, Nagano T, Sano K, Inai N, Noto N, Ogaki T, Matsui Y, Ikeda H, García Mancheño O, Yanai T, Saito S.   +12 more
europepmc   +1 more source