Results 251 to 260 of about 24,891 (361)

Ergonomic Sponge Electrodes From Recycled PEDOT:PSS

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos   +3 more
wiley   +1 more source

Towards Real‐Time Monitoring of Soft Robotic Systems in Endoscopic Application With Ultra‐Flexible Organic Transistor‐Based Strain Sensors

open access: yesAdvanced Electronic Materials, EarlyView.
The integration of ultra‐flexible, all‐organic, field‐effect transistor‐based strain sensors to soft structures is reported for the development of sensorized soft robots. The envisaged application is the development of next‐generation, controllable, and observable soft robotic catheters for endoscopic applications, such as drug delivery. Mechanical and
Usama Mahmood   +5 more
wiley   +1 more source

Parametric Study of Girders with Sinusoidal Corrugated Web. [PDF]

open access: yesMaterials (Basel)
Śledziewski K   +3 more
europepmc   +1 more source

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

open access: yesAdvanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim   +7 more
wiley   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

open access: yesAdvanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas   +4 more
wiley   +1 more source

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