Results 71 to 80 of about 16,903,176 (225)

Bridging Biosensing and Hardware‐Level Data Security With a Conjugated Radical Polymer

open access: yesAdvanced Materials, EarlyView.
A conjugated radical polymer provides two complementary functions within a common material platform: sensitive dopamine biosensing and device‐specific stochastic electrical responses for security. The work demonstrates a materials‐based approach for combining bioelectronic signal acquisition with hardware‐level authentication while maintaining the ...
Hoyeon Lee   +9 more
wiley   +1 more source

Highly stable ITO/Zn2TiO4/Pt resistive random access memory and its application in two-bit-per-cell

open access: yes, 2018
We discuss the fabrication procedure and device characteristics of ITO/Zn2TiO4/Pt resistive random-access memory (RRAM) at room temperature.
Shoou-Jinn Chang   +4 more
core   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

open access: yesAdvanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim   +4 more
wiley   +1 more source

Ferroelectric Devices for In‐Memory and In‐Sensor Computing

open access: yesAdvanced Science, EarlyView.
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang   +5 more
wiley   +1 more source

Analogue pattern recognition with stochastic switching binary CMOS-integrated memristive devices

open access: yesScientific Reports, 2020
Biological neural networks outperform current computer technology in terms of power consumption and computing speed while performing associative tasks, such as pattern recognition.
Finn Zahari   +5 more
doaj   +1 more source

Review on resistive switching mechanisms of bio-organic thin film for non-volatile memory application

open access: yesNanotechnology Reviews, 2021
Bio-organic, as one of the sustainable and bioresorbable materials, has been used as an active thin film in producing resistive switching random access memory (RRAM) due to its specialized properties.
Cheong Kuan Yew   +3 more
doaj   +1 more source

Glucose-based resistive random access memory for transient electronics

open access: yesJournal of Information Display, 2019
In this research, glucose was adopted as the switching layer of resistive random access memory (RRAM) for transient electronics. The fabricated glucose-based RRAM showed bipolar switching behavior with stable endurance (100 cycles) and retention (104 ...
Sung Pyo Park   +3 more
doaj   +1 more source

Fabrication of Semi-transparent Resistive Random Access memory and Its Characteristics of Nonvolatile Resistive Switching

open access: yes, 2011
This report covers the resistive switching characteristics of cross-bar type semi-transparent (or see-through) resistive random access memory (RRAM) devices based on ZnO. In order to evaluate the transmittance of the devices, we designed the memory array
Koeng Su Lim   +3 more
core   +1 more source

Analog Resistive Switching in Reduced Graphene Oxide and Chitosan‐Based Bio‐Resistive Random Access Memory Device for Neuromorphic Computing Applications

open access: yes, 2022
Bio-resistive random access memory (Bio-RRAM) devices are important because they are biocompatible and biodegradable. Herein, analog unipolar resistive switching and bipolar resistive switching in chitosan and reduced graphene oxide + chitosan (RGO ...
Jetty, Prabana   +2 more
core   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

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