Intelligent electric energy driven ultrathin Graphene-Based Janus Films: Pioneering design for dynamic Electrochromism and superior microwave absorption

Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 160008 - 160008

Published: Jan. 1, 2025

Language: Английский

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In-situ characterization technologies and theoretical calculations in carbon dioxide reduction: In-depth understanding of reaction mechanisms and rational design of electrocatalysts

Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 533, P. 216541 - 216541

Published: Feb. 28, 2025

Language: Английский

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Multi-topological network engineering of Co/MnO composites for electromagnetic wave absorption

Journal of Material Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

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Dual-functionality composites of polyaniline-coated oxidized carbon nanohorns: Efficient wave absorption and enhanced corrosion resistance

Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110818 - 110818

Published: Jan. 1, 2025

Language: Английский

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Impact of Defect‐Rich Carbon Nanofibers Combined with Magnetic Materials on Broadband Electromagnetic Wave Absorption and Radar Cross‐Section Reduction

Small Structures, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 26, 2025

Carbon nanofibers (CNFs) exhibit inherent dielectric properties that enhance electromagnetic (EM) wave absorption, yet challenges exist in expanding their effective absorption bandwidth (EAB) and improving flexibility. Many studies fail to adequately consider how structural factors influence performance when combining CNFs with magnetic materials. To address these issues, a 1D carbon nanocomposite is developed by embedding oxide nanoparticles within using simple electrospinning technique. This approach improves membrane flexibility disrupting rigid alignment introducing dynamic interactions, while also creating defect‐rich interfaces increase the amorphous content (61%) of CNFsF composite, leading improved EM absorption. The unique macro/mesoporous morphology provides internal heterogeneous boundaries effectively trap dissipate waves. As result, flexible CNF composites demonstrate significant performance, achieving minimum reflection loss (RL min ) −39.8 dB at 4.64 GHz an abroad EAB up 7 only 2.5 mm thickness. Computer simulation technology (CST) simulations indicate maximum radar cross‐section reduction 21.1 m 2 , highlighting material's stealth capability. research advances development high‐performance materials offers new strategies for enhancing through composite engineering.

Language: Английский

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Photo(electro)catalytic Water Splitting for Hydrogen Production: Mechanism, Design, Optimization, and Economy

Molecules, Journal Year: 2025, Volume and Issue: 30(3), P. 630 - 630

Published: Jan. 31, 2025

As an energy carrier characterized by its high density and eco-friendliness, hydrogen holds a pivotal position in transition. This paper elaborates on the scientific foundations recent progress of photo- electro-catalytic water splitting, including corresponding mechanism, material design optimization, economy production. It systematically reviews research photo(electro)catalytic materials, oxides, sulfides, nitrides, noble metals, non-noble metal, some novel photocatalysts provides in-depth analysis strategies for optimizing these materials through design, component adjustment, surface modification. In particular, it is pointed out that nanostructure regulation, dimensional engineering, defect introduction, doping, alloying, functionalization can remarkably improve catalyst performance. The importance adjusting reaction conditions, such as pH addition sacrificial agents, to boost catalytic efficiency also discussed, along with comparison cost-effectiveness different production technologies. Despite significant advancements made splitting technology, this highlights challenges faced field, development more efficient stable photo(electro)catalysts, improvement system conversion efficiency, cost reduction, promotion technology industrialization, addressing environmental issues.

Language: Английский

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Dual-Atom Catalysts for the Hydrogen Evolution Reaction

ACS Applied Energy Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 27, 2025

Dual-atom catalysts (DACs) have gained great attention as highly efficient materials for the hydrogen evolution reaction (HER) due to their synergistic dual-site effects and high atomic utilization. This review explores how microenvironmental regulation, including electronic structure optimization coordination design, influences DAC performance. Both homonuclear heteronuclear types of DACs are analyzed in detail terms site interactions structural configurations. Moreover, recent advancements HER applications under various pH conditions discussed, highlighting enhanced catalytic activity mechanism. Despite challenges synthesis characterization, represent a promising frontier developing offer guidance future research scalable applications.

Language: Английский

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Synthesis of Two New Polyoxometalate-Based Organic Complexes from 2D to 3D Structures for Improving Supercapacitor Performance†

Dalton Transactions, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

By modulating the spatial length of ligands and coordination groups, two new polyoxometalate-based metal–organic complexes were synthesized, achieving a structural transformation from 2D to 3D obtaining high specific capacitance.

Language: Английский

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Quantitative Analysis of Perovskite Morphologies Employing Deep Learning Framework Enables Accurate Solar Cell Performance Prediction

Small, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Abstract In perovskite solar cells, grain boundaries are considered one of the major structural defect sites, and consequently affect cell performance. Therefore, a precise edge detection grains may enable to predict resulting Herein, deep learning model, Self‐UNet, is developed extract quantify morphological information such as boundary length (GBL), number (NG), average surface area (AGSA) from scanning elecron microscope (SEM) images. The Self‐UNet excels conventional Canny UNet models in extraction; Dice coefficient F1‐score exhibit high 91.22% 93.58%, respectively. accuracy allows for not only identifying tiny stuck between relatively large grains, but also distinguishing actual grooves on low quality SEM images, avoiding under‐ or over‐estimation information. Moreover, gradient boosted decision tree (GBDT) regression integrated exhibits predicting efficiency with relative errors less than 10% compared experimentally measured efficiencies, which corroborated by results literature experiments. Additionally, GBL can be verified multiple ways new feature.

Language: Английский

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Tunable Platform Capacity of Metal–Organic Frameworks via High-Entropy Strategy for Ultra-Fast Sodium Storage

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: March 26, 2025

Abstract Precise regulation of the platform capacity/voltage electrode materials contributes to efficient operation sodium-ion fast-charging devices. However, design such is still in a blank stage. Herein, based on tunable metal–organic frameworks, we have designed novel material system—two-dimensional high-entropy frameworks (HE-MOFs), which exhibits unique properties sodium storage and vital importance for realizing batteries. Furthermore, found that effect can regulate electronic structure, migration environment, active sites, thereby meeting requirements Impressively, HE-MOFs maintains reversible specific capacity 89 mAh g −1 at current density 20 A . It presents an ideal voltage plateau approximately 0.5 V, its increased 122.7 , far superior Mn-MOFs (with no capacity). This helps reduce safety hazards during process demonstrates great application value fields batteries capacitors. Our research findings broken barriers non-conductive MOFs as energy materials, enhanced understanding voltage, paved way realization high-security

Language: Английский

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