Results 101 to 110 of about 1,251 (184)

Multifunctional Design of Solid Polymer Electrolytes: Paving the Way for High‐Performance All‐Solid‐State Batteries

Carbon Energy, EarlyView.
This review provides a comprehensive and systematic overview of the multifunctional design strategies for solid polymer electrolytes (SPEs), a pivotal component for enabling high‐performance all‐solid‐state batteries (ASSBs). It begins with a detailed classification of SPE systems and elaborates on their respective molecular design principles. The work
Bin Man, Yuzhen Zhao, Bo Fu, Yulong Zeng, Yinwen Chen, Qingrui Liu, Wenjing Luo, Xin Li, Xuewei Li, Zikang Zhang, Yun Zheng, Sijie Liu   +11 more
wiley   +1 more source

High Entanglement in Hydrogels: From Polymer Physics to Robust Mechanics. [PDF]

Polym Sci Technol
Zhang Y, Lou H, Yan C, Zhang Q, Wang Y, Zhang Y.   +5 more
europepmc   +1 more source

Intrinsically Ultrahigh‐Rate Charging Capability of Conversion Reaction Cathodes and Its Origin: A Mechanism Study on FeS2

Carbon Energy, EarlyView.
Origin of the ultrahigh‐rate charge capability of FeS2: FeS2 demonstrates exceptional high‐rate charging capability, delivering 92% capacity retention at 10 C and maintaining as much as 60% capacity retention even at 30 C. This originates from an ultrahigh apparent diffusion coefficient involving both Li+ and Fe2+.
Zhen Yu, Junxiong Chen, Zongwang Tian, Ji Li, Yicheng Wang, Lifu Shen, Jianwei Meng, Kaiyu Zhang, Jingyi Xie, Nian Zhang, Xuefei Feng, Tsu‐Chien Weng, Xiaosong Liu, Pengfei Yu   +13 more
wiley   +1 more source

Efficient and Dynamically Consistent Joint Torque Estimation for Wearable Neurotechnology via Knowledge Distillation. [PDF]

Bioengineering (Basel)
Xu S, Chang Z, Ding Z, Yang X, Wang T, Xu D.   +5 more
europepmc   +1 more source

Machine Learning Paradigm for Advanced Battery Electrolyte Development

Carbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su, Mengfan Pei, Keyu Chen, Xigao Jian, Fangyuan Hu   +4 more
wiley   +1 more source

PhyGeo-KG: Physics-Regularized Distant Supervision for Multimodal Geometric Knowledge Graph Construction in Catenary Maintenance. [PDF]

Sensors (Basel)
Jin T, Chen X, Zhang D, Zeng B.
europepmc   +1 more source

Inorganic‐Directed Charge Delocalization Channels: Boosting Uniform Charge Distribution and Rapid Na+ Transport for Solid‐State Sodium Metal Batteries

Carbon Energy, EarlyView.
This work develops a PM@PN composite solid electrolyte via inorganic‐induced organic molecular reconstruction. It constructs continuous interfacial ion superhighways, enables uniform Na+ deposition, and significantly enhances ionic conductivity and electrochemical stability for all‐solid‐state sodium metal batteries.
Jiaze Li, Rong Yang, Aoyi Jiang, Xiaobin Li, Qianwei Zhang, Xin Dong, Hongyu Shang, Ying Liu, Yinglin Yan, Yunhua Xu, Jae‐Kwang Kim, Jou‐Hyeon Ahn   +11 more
wiley   +1 more source

Metamaterials and Fluid Flows. [PDF]

Nat Commun
Avallone F, Bosia F, Chen Y, Colombo G, Craster R, De Ponti JM, Fabbiane N, Haberman MR, Hussein MI, Hwang W, Iemma U, Juhl A, Kadic M, Kotsonis M, Laude V, Marquet O, Mery F, Michelis T, Nouh M, Ragni D, Touboul M, Wegener M, Krushynska AO.   +22 more
europepmc   +1 more source

Droplet microfluidics: Enabling the tailored fabrication of hydrogel particles

Droplet, EarlyView.
Droplet microfluidics enables precise, versatile fabrication of hydrogel particles with controlled size, composition, and structure. This review summarizes fundamental principles, engineering strategies, and emerging applications, providing a framework for advancing microfluidic hydrogel technologies.
Zhongqiao Gan, Xu Hou
wiley   +1 more source

Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures. [PDF]

Mach Learn Sci Technol
Papillon M, Sanborn S, Mathe J, Cornelis L, Bertics A, Buracas D, J Lillemark H, Shewmake C, Dinc F, Pennec X, Miolane N.   +10 more
europepmc   +1 more source