Results 181 to 190 of about 275,610 (300)

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

open access: yesAdvanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

APPLICATIONS IN CHEMICAL ENGINEERING, OIL AND GAS, AND ENVIRONMENTAL PROCESSES

open access: yesWorldwide Journal of Physics
Background: The intersection of chemical engineering with oil and gas operations and environmental processes has created opportunities for innovative, sustainable solutions to address global energy demands and ecological challenges.
Kashif Sabeeh, Arif Mumtaz
doaj  

Bamboo Medical Application: A State‐of‐the‐Art Review

open access: yesAdvanced Materials Technologies, EarlyView.
This review presents a structured classification of bamboo's current use in healthcare. It organizes applications into medical textiles and medical devices, with further divisions based on function and level of invasiveness. It also examines material utilization based on bamboo's structural role, highlighting how it supports both protective and ...
Haymanot Beza Lamesgin   +3 more
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

Home - About - Disclaimer - Privacy