Results 141 to 150 of about 153,078 (284)

VIBES: A multiscale modeling approach integrating within-host and between-hosts dynamics in epidemics. [PDF]

open access: yesProc Natl Acad Sci U S A
Ventura PC   +9 more
europepmc   +1 more source

Light‐Programmable Interfaces: From Molecular Photoswitching to Adaptive Membrane Separations

open access: yesAdvanced Materials Interfaces, EarlyView.
This review advances an interface‐centered framework for light‐responsive membranes, linking molecular photoswitches (azobenzene (AZO), spiropyran (SP), diarylethene (DAE), donor–acceptor Stenhouse adducts (DASA), photoacid) to integration strategies in polymeric, porous, self‐assembled, and mixed‐matrix systems.
Liangliang Zhang   +6 more
wiley   +1 more source

Nanozymes at the Bio‐Nano Interface: From Synthesis, Defect Engineering, Catalytic Behavior in Biological Microenvironments, and Biosafety Implications

open access: yesAdvanced Materials Interfaces, EarlyView.
Nanozymes (NZs) have emerged as versatile artificial enzymes with tunable catalytic properties driven by atomic coordination, defect engineering, and surface chemistry. This review presents a bio–nano interface framework linking synthesis strategies, structural design, and catalytic behavior within complex biological microenvironments.
Karen Guadalupe Quintero‐Garrido   +6 more
wiley   +1 more source

Micropillar‐Engineered Hybrid Adhesive Patch for Surface‐Conformable and Directional Adhesion

open access: yesAdvanced Materials Technologies, EarlyView.
This work presents a surface‐conformable hybrid adhesive integrating height‐optimized hexagonal micropillars with open‐rectangular cuts. The micropillars enhance rough‐surface contact and microscale crack arrest, while the cuts guide and reverse interfacial cracks for strong and directional adhesion. The multiscale architecture achieves robust pull‐off
Seongjin Park   +4 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

open access: yesAdvanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba   +4 more
wiley   +1 more source

Explainable deep learning and biomechanical modeling for TMJ disorder morphological risk factors

open access: yesJCI Insight
Clarifying multifactorial musculoskeletal disorder etiologies supports risk analysis, development of targeted prevention, and treatment modalities. Deep learning enables comprehensive risk factor identification through systematic analyses of disease data
Shuchun Sun   +12 more
doaj   +1 more source

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