Results 121 to 130 of about 91,384 (266)
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Fully Printed Electrocaloric Heat Pump
A system based on a flexible printed PEDOT:PSS/P(VDF‐TrFE‐CFE) electrocaloric membrane. The membrane periodically alternates between the cold and hot sides following its electrocaloric cycle and successfully generates a temperature difference. The entire fabrication process is industrially scalable, cost‐effective, and based on widely accessible ...
Adrian Agreda +7 more
wiley +1 more source
Time to flowering and flowering duration in mungbean are unrelated physiological traits with independent genetic controls. [PDF]
Dudley C +11 more
europepmc +1 more source
An in situ integrated TiO2/SiOx/Al2O3 synaptic phototransistor couples ultraviolet and electrical stimuli within a scalable, CMOS‐compatible oxide stack. Multimodal plasticity, spike‐timing‐dependent learning, and bee‐inspired associative conditioning are achieved through trap‐mediated temporal dynamics.
Youngbin Yoon +5 more
wiley +1 more source
A Hierarchical Model to Predict Time of Flowering of Kiwifruit Using Weather Data and Budbreak Dynamics. [PDF]
Zhang J +6 more
europepmc +1 more source
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source
On‐Chip Photonic Neural Network Architectures
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
wiley +1 more source
Optically Active Birefringent Polymer–Lipid Hybrid Microparticles With Dual‐Stimuli Responsiveness
The present study reports on geometrically tunable, magnetic and NIR‐stimuli‐responsive anisotropic microparticles that exhibit intrinsic birefringence due to their lamellar crystalline architecture, enabling label‐free detection under a polarized light.
Burcu Okmen Altas +2 more
wiley +1 more source

