Results 141 to 150 of about 14,316 (260)

Covalent Organic Framework–Carbon Nanotube Core–Shell Nanohybrids for Enhanced Catalytic Site Utilization of Molecular Catalysts in CO2 Electroreduction

open access: yesAngewandte Chemie, EarlyView.
Covalent organic framework–carbon nanotube (COF–CNT) core–shell nanohybrids are developed as an efficient platform to enhance the site utilization of molecular catalysts for electrochemical CO2 reduction. The well‐defined nanostructure promotes catalytic site accessibility, achieving CO turnover frequencies among the highest reported to date.
Liang Yao   +8 more
wiley   +2 more sources

Composite Polymer Electrolytes Based on (PEO)4CF3COOLi and Multi-Walled Carbon Nanotube (MWCNT). [PDF]

open access: yesPolymers (Basel), 2022
Delgado-Rosero MI   +2 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu   +5 more
wiley   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

open access: yesAdvanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan   +5 more
wiley   +1 more source

Experimental investigation on a solar parabolic collector using water-based multi-walled carbon-nanotube with low volume concentrations. [PDF]

open access: yesSci Rep, 2023
Talugeri V   +9 more
europepmc   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

open access: yesAdvanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy   +2 more
wiley   +1 more source

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