Results 221 to 230 of about 1,420,872 (289)

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

A horizontal connectivity mode in coastal oceans: transport overrides stratification to govern microbiome network stability. [PDF]

Appl Environ Microbiol
Peng Y, Wu J, Zhang X, Wang X, Wang B, Zhang C, Wang C, Zhang H, Liu F, Lian K, Li Y, Liu Q, Wang H.   +12 more
europepmc   +1 more source

In Situ Two‐Dimensional Residual Stress Characterization of Thin Films

Advanced Materials Technologies, EarlyView.
An integrated in situ curvature metrology platform combining speckle‐based curvature optical metrology (SCOM) with multi‐beam optical sensors (MOS) enables spatially resolved two‐dimensional curvature mapping of thick sputtered coatings. The SCOM technique provides excellent agreement with MOS while providing an extended measurable curvature range ...
Wai Jue Tan, Wadwan Singhapong, Arindam Majhi, Chris Bowen, Alexander J.G. Lunt, Hongchang Wang, Kawal Sawhney   +6 more
wiley   +1 more source

Object-Aware Computational Integral Imaging for Improved Object Depth Estimation and Stereo Matching Training. [PDF]

Sensors (Basel)
Vais D, Yitzhaky Y.
europepmc   +1 more source

Strain‐Activated Mechanical Metamaterial With Programmable Dual‐Phase Stiffness and Enhanced Energy Absorption

Advanced Materials Technologies, EarlyView.
A strain‐activated mechanical metamaterial is developed to achieve programmable dual‐phase stiffness through an intrinsic geometric locking mechanism. Finite element modeling and parametric analysis identify the key design parameters governing activation strain, stiffness transition, and energy absorption.
Ramin Yousefi‐Nooraie, Romain Lemoine, Mario Guagliano, Sara Bagherifard   +3 more
wiley   +1 more source

The progress and evolutionary direction of menstrual migraine research: a bibliometric analysis from 1994 to 2026. [PDF]

Front Med (Lausanne)
Li Y, Fu Z, Zhang X, He F, Duan C, Yuan S.   +5 more
europepmc   +1 more source

Upscaling Pulsed Laser Fragmentation in Liquids by Advanced Free‐Flow Setups

Advanced Materials Technologies, EarlyView.
Advanced flow setups providing thin colloid films are introduced to upscale pulsed laser fragmentation in liquids for sustainable nanoparticle synthesis. Their potential is demonstrated by yielding remarkably small ZnO nanoparticles of <7 nm. Numerical simulations complement the study, revealing that the superior performance can be attributed to ...
Jan Lino Kricke, Zongwen Fu, Sebastian Burgmann, Uwe Janoske, Carlos Doñate‐Buendía, Bilal Gökce   +5 more
wiley   +1 more source

Full-Depth Dynamic Gradient-Guided Residual Correction for Daily Three-Dimensional Ocean Sound Speed Prediction. [PDF]

Sensors (Basel)
Yang J, Xie Q, Li Z, Chen D, Chen C, Wen J.   +5 more
europepmc   +1 more source

Multilayer Biobased Poly(ethylene furanoate)/Graphene Oxide Nanofibrous Membranes With Directional Water Transport for Efficient Microplastics Filtration

Advanced Materials Technologies, EarlyView.
A self‐assembled multilayer biobased PEF/GO nanofibrous membrane was developed by electrospinning for efficient PLA microplastics (MPs) filtration. The membrane combines superhydrophilicity, directional water transport, mechanical robustness, and a synergistic size‐exclusion interception and electrostatic repulsion MPs separation mechanism, enabling ...
Juraij Kandiyil, Sumayya Ansari, Prasanna Kumar S Mural, Yaser E. Greish, Adnan Younis, Akmal Nazir, Muhammad Z. Iqbal   +6 more
wiley   +1 more source

Enabling generalizable RUL prediction for equipment: a dual-dimensional continual learning approach based on deep Gaussian process. [PDF]

Sci Rep
Xiuli L, Zifu C, Guoxin W, Shuo C.
europepmc   +1 more source