Results 261 to 270 of about 1,076,377 (343)

Copper‐based Materials for Photo and Electrocatalytic Process: Advancing Renewable Energy and Environmental Applications

Advanced Functional Materials, EarlyView.
Cu‐based catalysts as a cornerstone in advancing sustainable energy technologies are fully reviewed in this manuscript, highlighting their potential in photo‐ and electrocatalysis. It includes metallic copper, copper oxides, copper sulfides, copper halide perovskites, copper‐based metal–organic frameworks (MOFs), and covalent organic frameworks (COFs),
Jéssica C. de Almeida, Yanjie Wang, Thais A. Rodrigues, Paulo H. H. Nunes, Vagner R. de Mendonça, Paulo H. E. Falsetti, Leticia V. Savazi, Tao He, Alexandra V. Bardakova, Aida V. Rudakova, Jie Tian, Alexei V. Emeline, Osmando F. Lopes, Antonio Otavio T. Patrocínio, Jia Hong Pan, Caue Ribeiro, Detlef W. Bahnemann   +16 more
wiley   +1 more source

Parcelas de Agrado in Chile: A Systematic Review of Scientific and Grey Literature [PDF]

Gerardo Ubilla-Bravo, Julián Valdés-Figueroa   +1 more
openalex   +1 more source

Rational Fine‐Tuning of MOF Pore Metrics: Enhanced SO2 Capture and Sensing with Optimal Multi‐Site Interactions

Advanced Functional Materials, EarlyView.
A pore tuning strategy to amplify the multi‐site MOF‐SO2 interactions is proposed to achieve an enhanced trace SO2 capture and chemiresistive sensing in highly stable isostructural DMOFs by annelating benzene rings. This work provides a facile strategy to achieve tailor‐made stable MOF materials for specific multifunctional applications.
Shanghua Xing, Abdulrahman Mohabbat, István Boldog, Jens Möllmer, Marcus Lange, Yulyan Haiduk, Tobias Heinen, Vladimir Pankov, Oliver Weingart, Christoph Janiak   +9 more
wiley   +1 more source

Identifying Outdoor Winter Walking Programmes and Resources for Older Adults: A Scoping Review of the Grey Literature. [PDF]

Physiother Can
Barclay R, Mbabaali S, Akinrolie O, Chan H, Loewen H, Ripat J, Salbach N, Scheller C, Sylvestre G, Webber S, Winter Walk team.   +10 more
europepmc   +1 more source

Co-Producing Gender Knowledge in Energy Transitions: A Grey Literature Perspective

Paulina Sekuła, Marta Warat, Aleksandra Wagner, Tadeusz Józef Rudek, Vittoria Maria Peri   +4 more
openalex   +1 more source

CITATION ANALYSIS OF GREY LITERATURE, REFLECTED IN DISSERTATIONS OF LIBRARY AND INFORMATION SCIENCE 

, 2018
Venugopal D Hajje, K. R. Mulla
openalex   +1 more source

Copper Doping Enhances the Activity and Selectivity of Atomically Precise Ag44 Nanoclusters for Photocatalytic CO2 Reduction

Advanced Functional Materials, EarlyView.
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu, Xi Zheng, Xiufan Liu, Tengyuan Gao, Nicola Pinna, Yu Wang   +5 more
wiley   +1 more source

Successful use of food waste measuring cameras in hospital foodservices: A rapid grey literature review

Nathan Robert Gordon Cook
openalex   +1 more source

Self‐supportive Three‐Way Photoelectrochemical System Achieving Uranium Recycling, Organic Oxidation, and Electricity Generation in Complex Waters

Advanced Functional Materials, EarlyView.
A self‐sustaining solar photoelectrochemical cell (SS‐PEC) is developed to recover uranium from aqueous UO22+ with concurrent organic oxidation and electricity production. The monolithical photoanode directly captures electrons from organic compounds, leading to the oxidation of organic compounds and the decomposition of uranium‐organic complexes ...
Yumei Wang, Qingming Zeng, Haodong Ji, Rongzhong Wang, Jiachen Wang, Yanjun Wen, Wonyong Choi, Qingyi Zeng   +7 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source