Comprehensive Chlorine Suppression: Advances in Materials and System Technologies for Direct Seawater Electrolysis

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

Published: Jan. 22, 2025

Abstract Seawater electrolysis offers a promising pathway to generate green hydrogen, which is crucial for the net-zero emission targets. Indirect seawater severely limited by high energy demands and system complexity, while direct bypasses pre-treatment, offering simpler more cost-effective solution. However, chlorine evolution reaction impurities in lead severe corrosion hinder electrolysis’s efficiency. Herein, we review recent advances rational design of chlorine-suppressive catalysts integrated systems architectures chloride-induced corrosion, with simultaneous enhancement Faradaic efficiency reduction cost. Furthermore, directions are proposed durable efficient systems. This provides perspectives toward sustainable conversion environmental protection.

Language: Английский

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Unveiling the mysteries of hydrogen spillover phenomenon in hydrogen evolution reaction: Fundamentals, evidence and enhancement strategies

Coordination Chemistry Reviews, Journal Year: 2024, Volume and Issue: 524, P. 216321 - 216321

Published: Nov. 13, 2024

Language: Английский

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Glassy carbon electrodes modified with graphitic carbon nitride nanosheets and CoNiO2 bimetallic oxide nanoparticles as electrochemical sensor for Sunitinib detection in human fluid matrices and pharmaceutical samples

Microchimica Acta, Journal Year: 2024, Volume and Issue: 191(9)

Published: Aug. 9, 2024

Language: Английский

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Unveiling the supercapattery behaviour of novel kotoite-type Co3(BO3)2 nanoparticles

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 110, P. 115299 - 115299

Published: Jan. 6, 2025

Language: Английский

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Process Intensification Approach towards H₂O₂ Electrosynthesis & Electrochemical Advanced Oxidation Processes

ACS ES&T Water, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Language: Английский

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Pd-Modified Microneedle Array Sensor Integration with Deep Learning for Predicting Silica Aerogel Properties in Real Time

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

Published: Feb. 28, 2025

The continuous global effort to predict material properties through artificial intelligence has predominantly focused on utilizing stoichiometry or structures in deep learning models. This study aims using electrochemical impedance data, along with frequency and time parameters, that can be obtained during processing stages. target material, silica aerogel, is widely recognized for its lightweight structure excellent insulating properties, which are attributed large surface area pore size. However, production often delayed due the prolonged aging process. Real-time prediction of significantly enhance process optimization monitoring. In this study, we developed a system physical specifically diameter, volume, area. integrates 3 × array Pd/Au sensor, exhibits high sensitivity varying pH levels aerogel synthesis capable acquiring data set (impedance, frequency, time) real-time. collected then processed neural network algorithm. Because trained stage, it enables real-time predictions critical thus facilitating final performance evaluation demonstrated an optimal alignment between true predicted values mean absolute percentage error approximately 0.9%. approach holds great promise improving efficiency effectiveness by providing accurate predictions.

Language: Английский

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Electrocatalytic CO₂ Reduction to C₂ Products via Enhanced C─C Coupling Over Cu‐based Catalysts: Dynamic Reaction and Regulation Mechanism

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

Published: April 10, 2025

Abstract Benefiting from the optimal interaction strength between Cu and reactants, Cu‐based catalysts exhibit a unique capability of facilitating formation various multi‐carbon products in electricity‐driven CO 2 reduction reactions (CO ERR). Nonetheless, ERR process on these is characterized by intricate polyproton‐electron transfer mechanisms that are frequently hindered high energy barriers, sluggish reaction kinetics, low C─C coupling efficiency. This review employs advanced characterization techniques, such as sum frequency generation technology, to provide comprehensive analysis mechanism surface, examining it both spatial temporal dimensions proposing spatial‐temporal mechanism. To improve efficiency, series regulatory strategies focused surface microenvironment, catalyst structure, internal electronic thereby offering novel insights for upcoming design enhancement electrocatalysts.

Language: Английский

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Size-optimized Prussian blue and oxygen-doped carbon nanotubes encapsulation: A catalyst in electro-Fenton for antibiotic degradation

Journal of Colloid and Interface Science, Journal Year: 2025, Volume and Issue: 694, P. 137644 - 137644

Published: April 17, 2025

Language: Английский

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Enhanced Leakage Current and On-Resistance of β Gallium Oxide Schottky Barrier Diodes Using Effective Surface Modification

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

Published: April 21, 2025

Language: Английский

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Composition modulation of electrocatalysts based on 3d transition metal towards high-performance Zn-air batteries

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 155537 - 155537

Published: Sept. 6, 2024

Language: Английский

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