Results 181 to 190 of about 2,288,729 (253)

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Unveiling a Hidden Conversion Pathway in CoSe2 Anodes via Rationally Designed CNT‐Interwoven Hollow Carbon Microclusters for High‐Performance Potassium‐Ion Batteries

Advanced Science, EarlyView.
A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim, Seohyeon Jang, Hong Geun Oh, Jaewoo Lee, Jihun Yeom, Daiha Shin, Jiung Cho, Inho Nam, Seung‐Keun Park   +8 more
wiley   +1 more source

Recent Advances in Carbon Cathode Materials toward High‐Performing Zinc‐Ion Hybrid Supercapacitors

Advanced Science, EarlyView.
Aqueous zinc‐ion hybrid supercapacitors (ZHSCs) have emerged as promising next‐generation electrochemical energy‐storage devices. Porous carbon materials have been extensively studied as cathodes, with advances in tailoring pore structures and material properties to enhance performance.
Take Hirooka, Zhaolin Liu, Ivan P. Parkin, Guanjie He   +3 more
wiley   +1 more source

Elemental Tuning of NMC Cathode Materials: Atomic Structural Variations Drive Performance Improvements. [PDF]

Small
Islam SMS, Nosrati A, Shovon OG, Niu J.
europepmc   +1 more source

Mn2+ Ion‐Mediated Zn Dendrite Suppression and Reversible Stripping in Aqueous Zn‐Ion Batteries as Revealed by In Situ Liquid‐Cell TEM

Advanced Science, EarlyView.
In situ EC‐LPTEM directly visualizes how Mn2+ ions regulate Zn electrodeposition and dissolution in aqueous electrolytes. Mn2+ suppresses heterogeneous growth and dendritic elongation while promoting more reversible stripping. These findings reveal additive‐regulated interfacial processes during Zn deposition and dissolution and provide guidance for ...
Zhenhuan Chen, Dasun P. W. Guruge, Kudachchige Asanga G. de de Alwis, Kaveendra V. Maduwantha, Konstantin L. Firestein, Joseph F.S. Fernando, Chao Zhang, Dmitri V. Golberg   +7 more
wiley   +1 more source

Defect-Engineered LiYO₂ Interlayers Enabling Fast Interfacial Li⁺ Transport in All-Solid-State Batteries. [PDF]

Adv Sci (Weinh)
Kim S, Byeon YS, Jung J, Cho M, Lee H, Kim JH, Park MS.   +6 more
europepmc   +1 more source

Overcoming the Catalytic Bucket Effect in Pt‐based High‐Entropy Nanocages Through Interface Defect and Strain Engineering

Advanced Science, EarlyView.
PtPdNiCuMnAu HENCs exhibit a remarkable half‐wave potential (E1/2) of 0.925 V vs. RHE. The catalyst displays exceptional electrochemical stability, with only a 4 mV negative shift in E1/2 and a mere 5.6% loss in MA after 10, 000 accelerated durability test cycles.
Qian Liu, Haoran Kang, Yiou Liu, Xiaowei Zhang, Xu Chen, Faming Gao   +5 more
wiley   +1 more source

Failure-mode-oriented design of cathode materials for practical lithium-ion batteries: from crystal stability to electrode-level durability. [PDF]

Front Chem
Liu X, Li F, Yin B, Wang G, Wu H.
europepmc   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

CO₂-assisted selective lithium extraction and closed-loop regeneration of spent NCM cathodes toward cleaner battery recycling. [PDF]

RSC Adv
Liu Y, Yao L, Yang X, Jiao Z, Guan N.
europepmc   +1 more source