Results 291 to 300 of about 2,235,192 (340)
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim +3 more
wiley +1 more source
The Role of Coronary Microvascular Dysfunction in Heart Failure With Preserved Ejection Fraction. [PDF]
Tzoumas A +14 more
europepmc +1 more source
This study introduces an in situ electrostatic charge‐assisted wetting method to enhance the interfacial strength of aerosol jet printing. By depositing negative charges on the substrate, the technique improves ink wetting and interfacial properties, achieving up to 85.6% higher interfacial shear strength.
Ao Li +5 more
wiley +1 more source
ABSTRACT Layered 2D materials are considered as promising for memristive applications due to their ultimate vertical scalability compared to conventional semiconductor films and pronounced hysteresis properties. Bias‐resolved Raman and Photoluminescence mapping is used to quantify strain from phonon shifts and carrier density from the exciton‐trion ...
Vladislav Kurtash +4 more
wiley +1 more source
Cardiac Rehabilitation and Heart Failure With Preserved Ejection Fraction. [PDF]
Hirashiki A, Shimizu A.
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Enhanced prediction of left ventricular ejection fraction using electrocardiography with the addition of clinical metadata. [PDF]
Park HW, Kang T, Seo YH, Park JH.
europepmc +1 more source

