Results 181 to 190 of about 7,639 (253)

Main‐Chain Ion‐Pair Polybenzimidazole Membranes Enabling Reduced‐Temperature HT‐PEMFC Operation (Down to 120°C)

Advanced Energy Materials, EarlyView.
Embedding imidazolium‐biphosphate ion pairs directly into the polybenzimidazole main chain simultaneously stabilizes phosphoric acid and preserves continuous proton transport pathways. Strong ion‐pair and hydrogen‐bond interactions suppress acid leaching while maintaining high conductivity, enabling stable and durable high‐temperature fuel cell ...
Huina Lin, Brian C. Benicewicz
wiley   +1 more source

An Impact of Prolonged Electrolysis on the Electrochemical Performance and Surface Characteristics of NiFe-Modified Graphite Electrodes for Alkaline Water Electrolysis. [PDF]

Molecules
Kuczyński M, Mikołajczyk T, Pierożyński B, Bramowicz M, Kulesza S.   +4 more
europepmc   +1 more source

Redox‐Mediated Aluminum–Air Fuel Cells With Suppressed Hydrogen Evolution for Durable Power Generation

Advanced Energy Materials, EarlyView.
The redox‐mediated aluminum–air fuel cell (RM‐AAFC) integrates a soluble redox mediator, 7,8‐dihydroxy‐2‐phenazine sulfonic acid (DHPS), to facilitate the oxidation of aluminum and inhibit hydrogen evolution reaction (HER) through competitive reactions between DHPS reduction and HER on the Al surface.
Yuxi Song, Hang Zhang, Zhongheng Fu, Zeyun Gu, Lingchao Xia, Haoyang Guo, Jiahao Zhuang, Yizhuo He, Linghang Meng, Zhi Wei Javier Ang, Qing Wang   +10 more
wiley   +1 more source

Experimental investigation into the functionality of alkaline water electrolysis with ion-solvating membrane in anode feed mode using diluted potassium hydroxide. [PDF]

Heliyon
Jarosch D, Warren JJ, Kapischke J.
europepmc   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan, Aaron B. Naden, Paul A. Connor, A. Robert Armstrong, John T. S. Irvine   +4 more
wiley   +1 more source

Organic Photoelectrochemical Cells Beyond Performance: Interface and Catalyst Engineering for Durability

Advanced Energy Materials, EarlyView.
Organic photoelectrochemical cells based on π‐conjugated semiconductors offer a versatile platform for solar fuel generation. This review outlines operating principles, device architectures, and key metrics, and highlights advances in p‐ and n‐type photoelectrodes, interfacial engineering, and catalyst integration.
Jaehyeong Kim, Jung Min Ha, Yeonjeong Lee, Seung Won Oh, Wangyeon Lee, Munsu Kwon, Soonyong Lee, Jin Young Kim, Han Young Woo   +8 more
wiley   +1 more source

Valorization of Hydrogen Peroxide for Sodium Percarbonate and Hydrogen Coproduction via Alkaline Water Electrolysis: Conceptual Process Design and Techno-Economic Evaluation. [PDF]

Ind Eng Chem Res
Mohajeri M, Shanbhag S, Trasias E, Mousazadeh F, de Jong W, Phadke SA.   +5 more
europepmc   +1 more source

Solid–liquid equilibria in the LiOH–ethanol–water system: Solubility measurements and thermodynamic modeling

AIChE Journal, EarlyView.
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu, Chentao He, Janet A. W. Elliott, Liuyin Xia   +3 more
wiley   +1 more source

Proton exchange membrane-like alkaline water electrolysis using flow-engineered three-dimensional electrodes. [PDF]

Nat Commun
Rocha F, Georgiadis C, Van Droogenbroek K, Delmelle R, Pinon X, Pyka G, Kerckhofs G, Egert F, Razmjooei F, Ansar SA, Mitsushima S, Proost J.   +11 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source