Results 161 to 170 of about 11,919,162 (297)

Confinement‐Engineered Thermally Programmed Ion‐Gating Separator for Decoupling Thermal–Electrochemical Feedback in High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A new phase‐change material encapsulated membrane offers more thermal resilience stability and safety than the conventional separators for batteries. ABSTRACT Thermal runaway in lithium‐ion batteries arises from the intrinsic coupling between heat generation and ion transport, yet conventional shutdown separators primarily rely on passive pore collapse
Sumedha Rajpoot, Wei‐Nien Su, Sheng‐Chiang Yang, Yu Chun Huang, Wahyu Fiqih Virdiansyah, Ashok Ranjan, Han‐Hsuan Hsieh, Chia‐Lung Hsieh, Yu‐Wei Li, Yosef Nikodimos, Zabish Bilew Muche, Yu Jen Liang, Chia‐Chi Wang, Chih‐Ching Liu, Gao‐Jhih Liang, Chun‐Chen Yang, She‐Huang Wu, Bing Joe Hwang   +17 more
wiley   +1 more source

3D Bioprinted Glioblastoma Multiforme Models: How the Extracellular Matrix Glycosignature Influences Drug Response

Advanced Functional Materials, EarlyView.
Aberrant glycosylation in the glioblastoma tumor microenvironment drives therapeutic resistance. Here, a 3D bioprinted model was engineered by incorporating α‐NeuNAc‐(2→3)‐β‐D‐Gal‐ and chondroitin sulfate. Combined multiplex immunofluorescence and synchrotron‐based nanoCT analysis revealed that glycan‐matrix interactions dictate specific drug‐escape ...
Francesca Cadamuro, Marco Piazzoni, Ilaria Borghi, Alberto Baeri, Alessandro Fumagalli, Federica Perillo, Hafiz Muhammad Fahad, Martina Ghizzi, Luca Crippa, Gabriella Nicolini, Angela Bentivegna, Daniele Ramazzotti, Valentina Zuliani, Mirko Rivara, Carlo Giorgio Giussani, Andrea Di Cristofori, Guido Cavaletti, Federica Facciotti, Sobhan Sheikhi, Claire Seydoux, Murielle Salome, Peter Cloetens, Alberto Bravin, Paola Coan, Francesco Nicotra, Laura Russo   +25 more
wiley   +1 more source

Federated fault diagnosis method for collaborative self-diagnosis and cross-robot peer diagnosis.

PLoS ONE
In multi-robot collaboration, individual failures can propagate to other robots due to the topological coupling between them. Existing fault diagnosis models are designed for single robots and fail to meet the practical requirements of multi-robot ...
Yan Qin, Ouyang Wang
doaj   +1 more source

The Landscape of Collective Awareness in Multi-robot Systems

The development of collective-aware multi-robot systems is crucial for enhancing the efficiency and robustness of robotic applications in multiple fields. These systems enable collaboration, coordination, and resource sharing among robots, leading to improved scalability, adaptability to dynamic environments, and increased overall system robustness. In
Miguel Fernández-Cortizas, David Pérez-Saura, Ricardo Sanz, Martin Molina, Pascual Campoy   +4 more
openaire   +4 more sources

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

Advanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li, Jun Xu, Dezhong Xu, Zhaohui Zhang, Jiyi Li, Daxian Cao, Kefu Chen, Mizi Fan   +7 more
wiley   +1 more source

Freeze‐Thaw Engineered Dual Conductivity Polymeric Binder Stabilizes Large‐Volume‐Change Lithium–Ion Battery Anodes

Advanced Functional Materials, EarlyView.
This work developed an all‐aqueous freeze‐thaw strategy to create a dual‐conductive PVA/P3KBT binder for high volume‐change lithium–ion battery anodes. The resulting binder system strengthens the electrode structure, supports ion and electron transport, and accommodates repeated volume changes, reducing cracking and improving long‐term cycling ...
Haoze Ren, Jeremy Wang, Han Li, Marie Francoise C. Millares, Hao Guo, Sz‐Chian Liou, Siyu Qin, Ryan Thorpe, Melissa A. Guercio, Dali Yang, Lu Ma, Siyu Wu, Ruipeng Li, Esther S. Takeuchi, Amy C. Marschilok, Shan Yan, Kenneth J. Takeuchi, Elsa Reichmanis   +17 more
wiley   +1 more source

Load Distributing Metamaterials Via Discrete Optimization

Advanced Functional Materials, EarlyView.
Mechanical metamaterials are computationally optimized to homogenize transmitted forces by minimizing the spread of reaction forces. The resulting architectures transform localized loading into broader, more uniform force distributions and experimentally demonstrate robust load spreading under quasi‐static and impact loading.
Andrea Detry, Hannes Holey, Raja Zulkarnain, Roberto Guerra, Ilaria Papa, Michael Zaiser, Stefano Zapperi   +6 more
wiley   +1 more source

Programmable Soft Actuator with Multi‐Responsiveness Based on Conductive MOF‐Liquid Crystal Polymer Composite

Advanced Functional Materials, EarlyView.
A sequential dual‐alignment strategy independently programs the orientation of conductive metal‐organic framework (c‐MOF) microrods and liquid crystals within a composite film. This approach creates an asymmetric bilayer structure that enables precise, multi‐responsive actuation.
Taegyun Hong, Geunho Kim, Changjae Lee, Sarang Lee, Jesse G. Park, Dong Ki Yoon   +5 more
wiley   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

Advanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon, Jian Ni, Sungmo Park, Yang Xu, Yong Chen   +4 more
wiley   +1 more source

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source