Results 151 to 160 of about 672,804 (238)

Stress‐Normalized Sensitivity as a Comparative Benchmark for Intrinsically Piezoresistive Nanocomposite Materials in Wearable Electronics

open access: yesAdvanced Materials Technologies, EarlyView.
A stress‐normalised sensitivity metric (S = G/Y) is introduced as a materials‐level benchmark for intrinsically piezoresistive nanocomposites. By decoupling electromechanical response (G) from stiffness (Y), the framework enables direct comparison across diverse systems and clarifies design trade‐offs for wearable sensors.
Conor S. Boland
wiley   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov   +3 more
wiley   +1 more source

The Evolution of Laser‐Induced Damage Patterns in Polymer Stabilized Liquid Crystals: Insights From Morphological Characterization and Thermo‐Driven Simulations

open access: yesAdvanced Optical Materials, EarlyView.
A dual‐domain PSLC architecture enables direct comparison of alignment‐dependent laser damage within a single device. Crack‐like and seal‐like morphologies emerge under different damage conditions, and their evolution is interpreted through quantitative image analysis and heat‐driven simulations.
Dengcheng Chen   +4 more
wiley   +1 more source

Coevolutionary dynamics of cooperation, risk, and cost in collective risk games. [PDF]

open access: yesPLoS Comput Biol
Wang L   +5 more
europepmc   +1 more source

Strong Plasmon–Exciton Coupling Tuned by Corner Etching of Gold Nanocubes and Nanotriangles

open access: yesAdvanced Optical Materials, EarlyView.
Systematic etching of gold nanocubes (AuNCs) and nanotriangles (AuNTs) reveals how nanoparticle morphology governs plasmon–exciton strong coupling. While rounding the corners of AuNCs weakens their coupling, triangular geometries robustly preserve deep strong coupling.
Jiyeon Lee   +4 more
wiley   +1 more source

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