Results 51 to 60 of about 1,868 (174)

Unraveling Hierarchical B‐Site Ordering: Mechanism of Microwave Dielectric Enhancement in Complex Perovskite Oxide Ceramics

Advanced Science, EarlyView.
This study maps out the hierarchical ordering in 1:2 B‐site complex perovskite ceramics using a comprehensive multiscale characterization route. It turns out that intradomain strain, oxygen vacancies, and Mg disorder within the ordered domains act as strong phonon scatterers.
Qingqiao Fu, Hui Gu, Hanbin Gao, Pianpian Ma, Xiangming Chen, Juanjuan Xing, Qiang Zheng   +6 more
wiley   +1 more source

Structural Control Over Bicontinuous Emulsions from Solvent‐Transfer Induced Phase Separation Through Nanoparticle Loading

Advanced Science, EarlyView.
The nanoparticle loading enables effective control over the liquid domain size in bicontinuous interfacially jammed emulsion gels (bijels) produced through solvent‐transfer induced phase separation (STrIPS). The relationship between the nanoparticle loading and domain size profiles in STrIPS bijels is resolved through confocal microscopy and explained ...
Jesse M. Steenhoff, Martin F. Haase
wiley   +1 more source

Electrochemically Induced Structural Evolution to Generate Optimized High‐Entropy‐Alloy Electrocatalysts for Ethanol Oxidation

Angewandte Chemie, EarlyView.
Electrochemical cycling drives spontaneous facet optimization in high‐entropy Pd@PdPtIrRuRh core‐shell nanocrystals, reshaping simple cubes into severely beveled architectures with balanced {100}/{110}/{111} facets. This dynamic restructuring yields active electrocatalysts that favor complete ethanol oxidation via the C1 pathway, suppress strongly ...
Yueh‐Chun Hsiao, Hansaem Jang, Chun‐Wei Chang, Jui‐Tai Lin, Kuan‐Fang Lee, Adrian M. Gardner, Richard J. Potter, Alex R. Neale, Laurence J. Hardwick, Kun‐Han Lin, Tung‐Han Yang, Alexander J. Cowan   +11 more
wiley   +2 more sources

PARP Inhibitors plus Anlotinib as Bridging Therapy for Armored CAR‐T Cells in Ovarian Cancer Enhances Infiltration and Antitumor Efficacy

Advanced Science, EarlyView.
This study shows that a PARP inhibitor combined with anlotinib, administered as bridging therapy, preconditions the tumor microenvironment to enhance the infiltration and antitumor activity of subsequently infused CAR‐T cells across preclinical ovarian cancer models, supporting bridging therapy as a promising strategy to address limited CAR‐T cell ...
Huayi Li, Minghua Xiang, Qiuyang Xu, Jiahao Liu, Xiaofei Jiao, Wei Mu, Xiaoying Lv, Kangjia Tao, Yu Xu, Dongchen Zhou, Wenjian Gong, Danmei Yan, Yixin Hu, Sen Xu, Bingbing Zhao, Jundong Li, Yongkang Gai, Guang Hu, Li Zhu, Qinglei Gao, Yong Fang   +20 more
wiley   +1 more source

Design Guidelines for Anode Modifications to Eliminate Soft Short Circuits in Anode‐Free Na Batteries Under High Current Density With Large‐Capacity Plating, Demonstrated via Initiated Chemical Vapor Deposition (iCVD)

Angewandte Chemie, EarlyView.
This work establishes a laterally homogeneous organic–inorganic hybrid interphase for soft‐short‐free anode‐free sodium metal batteries under extended cycling at high current density and high plating capacity. In contrast to conventional strategies that evolve into laterally heterogeneous interphases and induce localized Na filament growth, the pDFHA ...
Yeongjun Oh, Yuxuan Zhang, Jinwook Baek, Minyoung Kim, Jeongmin Park, Myung Gyu Lee, Chung Soo Kim, Sunghwan Lee   +7 more
wiley   +2 more sources

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

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

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

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source