Results 251 to 260 of about 89,376 (355)

Variational Thermomechanically Coupled Shape Memory Alloy Material Model and Optimization of Shape Memory Alloy Based Out‐of‐Plane Bistable Microactuator

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 3, 15 February 2026.
ABSTRACT This work presents a fully thermomechanically coupled material model for shape memory alloys (SMAs), capable of predicting shape memory effect, superelasticity, stress and strain recovery, and martensite reorientation. Formulated within the Generalized Standard Material (GSM) framework, the model employs a rate potential, whose variations ...
Muhammad Babar Shamim   +2 more
wiley   +1 more source

Room‐Temperature, High‐Resolution Soft Anisotropic Conductive Film for Electrical Interfacing in Stretchable Electronics

open access: yesAdvanced Functional Materials, Volume 36, Issue 10, 2 February 2026.
A UV‐crosslinkable soft anisotropic conductive film (ACF) provides high‐resolution, room‐temperature electrical interfacing. Upon UV exposure, azide crosslinkers within the ACF matrix form covalent bonds with a wide range of C–H‐containing materials, resulting in interfaces that are both mechanically durable and electrically reliable.
Jun Choi   +7 more
wiley   +1 more source

High‐Concentration Antibody Formulation via Solvent‐Based Dehydration

open access: yesAdvanced Materials, Volume 38, Issue 7, 2 February 2026.
Amorphous solid antibodies are encapsulated into hydrogel microparticles through a solvent‐based dehydration process. The solvent extracts water from antibody solution droplets, causing the antibody to concentrate, and precipitation of the antibody into amorphous solid is induced.
Talia Zheng   +3 more
wiley   +1 more source

A parametrically‐Conditioned Deep Learning Surrogate for Coherent Spinodal Decomposition

open access: yesAdvanced Theory and Simulations, Volume 9, Issue 2, February 2026.
Spinodal decomposition of strained alloys with cubic anisotropy is reproduced by a Convolutional Recurrent Neural Network, taking the misfit parameter as explicit input to return different morphologies. The predicted composition fields match phase‐field simulations over a broad range of parameters, allowing to reconstruct the full phase diagram.
Andrea Fantasia   +5 more
wiley   +1 more source

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