Results 191 to 200 of about 3,728,409 (351)

Chiral gliding: Right-handed navigation of filamentous cyanobacteria. [PDF]

open access: yesProc Natl Acad Sci U S A
Vilfan A   +3 more
europepmc   +1 more source

Flexible Thin‐Film Heater Composed of Laser‐Induced Graphene and Poly(D, L‐Lactic Acid) with Electro‐ and Photo‐Thermal Properties toward Cancer Thermotherapy

open access: yesAdvanced Electronic Materials, EarlyView.
This study introduces a thin‐film‐type heat‐generating device that uses laser induced graphene (LIG) on a poly(D, L‐lactic) acid film, which realizes both resistance heating by direct current application and photothermal conversion heating by near‐infrared light irradiation.
Masato Saito   +4 more
wiley   +1 more source

Topological Materials and Related Applications

open access: yesAdvanced Electronic Materials, EarlyView.
This review covers topological materials—including topological insulators, quantum valley Hall and quantum spin Hall insulators, and topological Weyl and Dirac semimetals—as well as their most recent advancements in fields such as spintronics, electronics, photonics, thermoelectrics, and catalysis.
Carlo Grazianetti   +9 more
wiley   +1 more source

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi   +3 more
wiley   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

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