Results 241 to 250 of about 1,272,515 (320)

Rotary 4D Printing of Programmable Metamaterials on Sustainable 4D Mandrel

Advanced Materials Technologies, EarlyView.
The paper introduces open, rotary 4D printing of programmable tubular metamaterials. It presents an open, non‐planar path‐to‐G‐code pipeline and shape‐changing rotary mandrel that enable support‐free fabrication and multi‐stimuli actuation. Experiments and FEA validate the mentioned features and stress redistribution.
Hesam Soleimanzadeh, Mahdi Bodaghi, Marzieh Jamalabadi, Bernard Rolfe, Ali Zolfagharian   +4 more
wiley   +1 more source

Dedifferentiation and Transfer in Executive Function and Math Ability Following a Five-Year Abacus Training in Schoolchildren. [PDF]

Adv Sci (Weinh)
Xu T, Liu X, He H, Zhou C, Hildebrandt A, Chen F.   +5 more
europepmc   +1 more source

Neutral‐pH Electropolymerization of Aniline on Hierarchically Porous Laser‐Induced Graphene Electrodes for Dual Biosensing

Advanced Materials Technologies, EarlyView.
Neutral‐pH electropolymerization of aniline on laser‐induced graphene (LIG) produces stable, brush‐like polyaniline coatings without requiring acidic conditions. The resulting PANI–LIG electrodes exhibit enhanced electroactive surface area, efficient charge transfer, and dual sensing capability for β‐blockers and pH, providing a scalable platform ...
Angelika Łepek, Aiswarya Manohar, Mattia Pierpaoli, Robert Bogdanowicz, Łukasz Gaweł, Mohsen Khodadadi Yazdi, Jacek Ryl   +6 more
wiley   +1 more source

Modeling of Heat Treatment Processes in a Vortex Layer of Dispersed Materials. [PDF]

Materials (Basel)
Koshlak H, Pavlenko A, Basok B, Telega J.   +3 more
europepmc   +1 more source

Post‐Processing Strengthened 3D Artificial Fingertip with Multi‐Intensity Pain Perception

Advanced Materials Technologies, EarlyView.
The 3D multi‐intensity pain‐perceptive artificial fingertip (HBAF) is designed, whose mechanical and conductive properties are highly improved via novel post‐processing. With the soft adhesive gel layer, which is grown on the base of HBAF, it is seamlessly assembled with the robotic hand and further evaluates the safe factor of gripping.
Huijing Li, Felix Thasan, Tongtong Cui, Raihan Alfaridzi, Andreas Stihl, Felix H. Schacher, Patrick Théato   +6 more
wiley   +1 more source

Engineering Thermal Emission with Enhanced Emissivity and Quality Factor Using Bound States in the Continuum and Electromagnetically Induced Absorption

Advanced Optical Materials, EarlyView.
A metal‐based thermal metasurface supporting bound states in the continuum is demonstrated and experimentally shown to achieve a record‐high quality factor of 202 and high emissivity of 0.82. The design offers thermally stable, narrowband mid‐infrared emission, making it ideal for high‐precision gas sensing applications.
Guodong Zhu, Ikjun Hong, Kewei Li, Theodore Anyika, Maxwell T. Ugwu, J. Ryan Nolen, Mingze He, Joshua D. Caldwell, Justus C. Ndukaife   +8 more
wiley   +1 more source

Modeling magnetic properties of cobalt nanofilms used as a component of spin hybrid superconductor-ferromagnetic structures. [PDF]

Beilstein J Nanotechnol
Fedotov A, Severyukhina O, Salomatina A, Sidorenko A.   +3 more
europepmc   +1 more source

Advanced Emissivity Tuning Via Femtosecond Laser Surface Engineering

Advanced Optical Materials, EarlyView.
Femtosecond laser surface processing (FLSP) is employed to fabricate titanium‐based metamaterials with engineered micro/nano‐scale features that exhibit spectrally selective and omnidirectional thermal emissivity. By integrating advanced ellipsometry, electromagnetic modeling, and compositional analysis, the work reveals resonance‐driven emissivity ...
Zahra Kamali Khanghah, Andrew Butler, Andrew Reicks, Juveriya Parmar, Eva Schubert, Craig Zuhlke, Mathias Schubert, Ufuk Kilic, Mohammad Ghashami   +8 more
wiley   +1 more source

Editorial: Empowering early career researchers in psychiatry: advancing autism research. [PDF]

Front Psychiatry
Caruso A, Rasga C, Fulceri F, Scattoni ML, Micai M.   +4 more
europepmc   +1 more source

Inverse Design in Nanophotonics via Representation Learning

Advanced Optical Materials, EarlyView.
This review frames machine learning (ML) in nanophotonics through a classification based on where ML is applied. We categorize methods as either output‐side, which create differentiable surrogates for solving Maxwell's partial differential equations (PDEs), or input‐side, which learn compact representations of device geometry.
Reza Marzban, Ali Adibi, Raphaël Pestourie   +2 more
wiley   +1 more source