Results 191 to 200 of about 62,477 (261)

Dynamic Cobalt Leaching‐Redeposition Equilibrium in Co9S8/Co‐Ni3S2 Electrocatalysts Boosts Oxygen Evolution Activity

Advanced Science, EarlyView.
Reconstruction of a Co9S8/Co‐Ni3S2 electrocatalyst stabilizes via a leaching‐redeposition dynamic equilibrium of metal ions. Interestingly, the Co‐ion leaching and redeposition play a crucial role in boosting oxygen evolution performance. This endogenous self‐repair cycle continuously offers active sites, allowing the catalyst to maintain superior OER ...
Xue‐Min Chen, Meng‐Ya Zhao, Xiu‐Li Zhao, Hui‐Ying Mu, Yue Zhou, Dong‐Ya Ma, Fa‐Tang Li   +6 more
wiley   +1 more source

Lattice Boltzmann Simulation of Mass Transfer Characteristics in Catalyst Layer of High-Temperature Proton Exchange Membrane Fuel Cells. [PDF]

Membranes (Basel)
Ji S, Yang G, Wang H.
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced 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, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Materials Engineering for High Performance and Durability Proton Exchange Membrane Water Electrolyzers. [PDF]

ACS Appl Energy Mater
García-Salaberri PA, van Eijk L, Bangay W, Ferner KJ, Ha MH, Moore M, Perea I, Kusoglu A, Secanell M, Das PK, Firas N, Pylypenko S, Novy M, Yandrasits M, Saha SC, Bayat A, Litster S, Zenyuk IV.   +17 more
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Efficient estimation of proton exchange membrane fuel cells parameters using a hybrid swarm intelligent algorithm. [PDF]

Sci Rep
Sharma P, Salgotra R, Raju S, Łukasik S, Gandomi AH.   +4 more
europepmc   +1 more source

Tuning Interfacial Water Dynamics via Gd‐Doped Cu2O for High‐Rate Selective CO2‐to‐Ethanol Conversion

Advanced Energy Materials, EarlyView.
A Gd‐doped Cu2O electrocatalyst disrupts rigid interfacial hydrogen‐bonding networks, creating a free‐water‐rich microenvironment. This accelerates proton‐coupled electron transfer, enabling selective high‐rate CO2‐to‐ethanol conversion with 48.5% Faradaic efficiency at industrially relevant current densities.
Hyunwoo Kim, Hyo Sang Jeon, Eugene Huh, Man Ho Han, Hyeon‐Seok Bang, Junho Lee, Jae‐Young Choi, Dong Ki Lee, Kyeongsu Kim, Byoung Koun Min, Woong Hee Lee, Hyung‐Suk Oh   +11 more
wiley   +1 more source

Optimizing operating conditions and stability evaluation of Fe/Co-NC catalyst in proton exchange membrane fuel cell. [PDF]

Sci Rep
Gharibi H, Teimourikhabazi M, Banazadeh S, Zhiani M, Taghiabadi MM.   +4 more
europepmc   +1 more source

Accelerated Oxygen Evolution Kinetics in Layered Double Perovskites via Hydroxide Surface Engineering for Anion Exchange Membrane Water Electrolysis

Advanced Energy Materials, EarlyView.
Our work showcases an innovative approach to address fundamental challenge in AEMWE system by constructing NiFe(OH)x/PBSCF heterostructure via scalable and conformal surface engineering process. Electrical conductivity gradient in the heterostructure increases the OER kinetics by promoting charge transfer, while balancing cation dissolution and re ...
Ki‐Yong Yoon, Hyunmin Kim, Kyung‐Bok Lee, Jaehoon Jeong, Dohyung Kim, Hee Yoon Roh, Ji‐Hoon Lee, Rong Ma, Yunfei Bu, Sung Mook Choi, Hosik Lee, Jihwan An, Juchan Yang   +12 more
wiley   +1 more source

An enhanced neural network model for predicting the remaining useful life of proton exchange membrane fuel cells. [PDF]

Sci Rep
Pan H, Zou Y, Sun X, Fu J.
europepmc   +1 more source