Results 161 to 170 of about 7,671 (247)

Wood‐Based Bioelectronics: Lignosulfonate‐Based Conductive Biocomposites for Paper Organic Electrochemical Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Biodegradable wood‐based bioelectronics are realized by integrating poly (2,3‐ethylenedioxythiopene:lignosulfonate (PEDOT:LigS) as a mixed ionicelectronic channel in organic electrochemical transistors fabricated on paper substrates. The biocomposite exhibits high conductivity, biocompatibility, and strong transistor performance, while devices built on
Katharina Matura   +8 more
wiley   +1 more source

People Counting and Positioning Using Low‐Resolution Infrared Images for FeFET‐Based In‐Memory Computing

open access: yesAdvanced Electronic Materials, EarlyView.
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar   +9 more
wiley   +1 more source

Silicon Nitride Resistive Memories

open access: yesAdvanced Electronic Materials, EarlyView.
Amorphous SiNx is an attractive resistance switching material for ReRAM applications due to its physicochemical properties, such as humidity resistance, low oxygen diffusivity, and is used as a metal diffusion blocker. By modifying the ratio between N and Si atoms, the microstructure of the SiNx is affected, rendering it possible to change the ...
Alexandros‐Eleftherios Mavropoulis   +7 more
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

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