Results 151 to 160 of about 676,343 (317)

Understanding Operando Water Management in Hydroxide‐Exchange‐Membrane Fuel Cells

open access: yesAdvanced Materials Interfaces, EarlyView.
Effective water management is vital for high‐performance hydroxide‐exchange‐membrane fuel cells. Using a custom water‐flux station, this study quantifies how membrane thickness, microporous layers, and operating conditions dictate internal water transport.
Catherine M. Weiss   +4 more
wiley   +1 more source

Hardware Acceleration [PDF]

open access: yesIEEE Micro, 2018
Martha A. Kim, Yakun Sophia Shao
openaire   +1 more source

Ti3C2Tx MXene/Silver Composite Foams For Lightweight, High‐Performance Electromagnetic Interference Shielding and Joule Heating

open access: yesAdvanced Materials Interfaces, EarlyView.
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood   +7 more
wiley   +1 more source

Allen and Jemison Hardware Company catalogs, MSS.0066

open access: yes, 1913
: Two catalogs, 1913 and 1928, of this Tuscaloosa, Alabama, hardware store.Scope and Content Note: Two catalogs, 1913 and 1928, of this Tuscaloosa, Alabama, hardware store.Biographical/Historical Note: A Tuscaloosa, Alabama, hardware ...
Allen and Jemison Hardware Company (Tuscaloosa, Ala.)
core  

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +1 more source

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

Hardware-in-the-loop Rendezvous Simulation using a Vision Based Sensor

open access: yes, 2011
One of the critical issues of a satellite On-Orbit Servicing (OOS) mission is to ensure a safe and reliable Rendezvous and Docking (RvD) process. This most risky part of the mission must be carefully analyzed, simulated and verified before the mission ...
Boge , Toralf   +2 more
core  

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

[Men in Vaught Hardware Store]

open access: yes, 1951
Photograph of three men in front of a Crosley radio display in Vaught Hardware store. On the left, a contest winner receives a check and certificate from two men in the center and on the right for participation in a Crosley Radio contest.
Douglass, Neal
core  

A Novel Two-Level Protection Scheme against Hardware Trojans on a Reconfigurable CNN Accelerator

open access: yes
With the boom in artificial intelligence (AI), numerous reconfigurable convolution neural network (CNN) accelerators have emerged within both industry and academia, aiming to enhance AI computing capabilities.
Jia Hou   +3 more
core   +1 more source

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