Results 181 to 190 of about 154,891 (246)
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia +3 more
wiley +1 more source
Smartphone Addiction, Use Preferences, and Depression Among Older Adults in the Digital Context: Machine Learning Analysis of Survey Data. [PDF]
Chen S, Song Y, Huang CC.
europepmc +1 more source
Rewriting Polymer Fate via Chemomechanical Coupling
This work introduces a life‐like “living” polymer platform that can grow, degrow, and reprogram its properties after fabrication. By integrating mass transport, reversible polymerization, and controlled catalysis, the material achieves on‐demand changes in size, shape, and mechanical properties.
Jiahe Huang +9 more
wiley +1 more source
We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu +15 more
wiley +1 more source
Integrative network pharmacology and machine learning identify potential targets of indole-3-lactic acid in colorectal cancer. [PDF]
Li J, Zhang J, Ke J, Ren Z, Feng C.
europepmc +1 more source
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Active inspection with knowledge distillation for cost-effective fault prediction in manufacturing process. [PDF]
Heo J, Son M, Shim J.
europepmc +1 more source
Decoding NASICON and Its Metal Interface for Solid‐State Batteries
This review paper focuses on lithium‐ and sodium‐based NASICON solid electrolytes and their interfaces with metal anodes using a top‐down framework. It begins with NASICON fundamentals, elucidates anode‐induced failure mechanisms, surveys advanced characterization strategies to understand them, summarizes mitigation approaches, and concludes with a ...
Jiaqi Xu +8 more
wiley +1 more source
Robust detection framework for adversarial threats in Autonomous Vehicle Platooning. [PDF]
Ness S.
europepmc +1 more source

