Results 241 to 250 of about 14,908,555 (316)
We developed an ultrasound‐controlled biomimetic nanoplatform, mRNA/V@M NPs, to co‐deliver CD74 mRNA and V‐9302 for fibrotic TNBC therapy. CD74 mRNA reprograms myCAFs into antigen‐presenting apCAF cells through the CD74‐MHC II pathway, while V‐9302 induces ICD and activates MHC I‐CD8+ T cell immunity.
Chen Ai +9 more
wiley +1 more source
Hierarchical Multi‐Mode Computing in Interlayer‐Coupled 3D RRAM Crossbar Arrays
2‐deck RRAM crossbar array provides a versatile hardware platform for multifunctional in‐memory computing. Stacked, series, and entropy node configurations enable multi‐layer conductance modulation, logic‐in‐memory operation, genetic learning, and reconfigurable physical unclonable functions.
Seungman Park +7 more
wiley +1 more source
Bioinspired Ionochromic Neuromorphic Transistors for Robotic Intelligent Perception
A bioinspired ionochromic neuromorphic transistor couples synaptic conductance modulation with reversible color change through voltage‐controlled ion doping in P3HT/ion gel, mimicking biological synaptic plasticity, and chameleon‐like color regulation.
Quanxing Yao +10 more
wiley +1 more source
A Simplified Model for Resistive Switching of Oxide-Based Resistive Random Access Memory Devices
A physical-based simplified model is presented to quantify the resistive switching behavior of oxide-based resistive random access memory (RRAM). In this model, the analytical expressions of the RESET time of RRAM devices and the correlated resistance in
Bing Chen, Lifeng Liu, Jinfeng Kang
exaly +2 more sources
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Advanced Functional Materials, 2023
In the realm of neuromorphic computing, integrating Binary Neural Networks (BNN) with non‐volatile memory based on emerging materials can be a promising avenue for introducing novel functionalities.
Ajit Kumar +9 more
semanticscholar +1 more source
In the realm of neuromorphic computing, integrating Binary Neural Networks (BNN) with non‐volatile memory based on emerging materials can be a promising avenue for introducing novel functionalities.
Ajit Kumar +9 more
semanticscholar +1 more source
Advanced Functional Materials, 2022
This study demonstrates the efficacy of an emerging p‐type copper iodide (CuI) semiconductor in a flexible, low‐voltage resistive random‐access memory (RRAM), which can be readily integrated with metal‐oxide n‐type counterparts for complementary circuit ...
Dhananjay Mishra +5 more
semanticscholar +1 more source
This study demonstrates the efficacy of an emerging p‐type copper iodide (CuI) semiconductor in a flexible, low‐voltage resistive random‐access memory (RRAM), which can be readily integrated with metal‐oxide n‐type counterparts for complementary circuit ...
Dhananjay Mishra +5 more
semanticscholar +1 more source
Application of Resistive Random Access Memory in Hardware Security: A Review
Advanced Electronic Materials, 2021Nowadays, advancements in the design of trusted system environments are relying on security provided by hardware‐based primitives, while replacing resource‐hungry software security measures. Emerging nonvolatile memory devices are promising candidates to
Gokulnath Rajendran +3 more
semanticscholar +1 more source
Physica Status Solidi (a), 2021
The recent progress of selector and self‐rectifying devices for resistive random‐access memory applications is reviewed. In particular, the performance of crossbar arrays based on resistive switching (RS) devices, the sneak‐path current issue, and ...
T. Dongale +5 more
semanticscholar +1 more source
The recent progress of selector and self‐rectifying devices for resistive random‐access memory applications is reviewed. In particular, the performance of crossbar arrays based on resistive switching (RS) devices, the sneak‐path current issue, and ...
T. Dongale +5 more
semanticscholar +1 more source
Advanced Functional Materials, 2021
Resistive random access memory (RRAM) based on ultrathin 2D materials is considered to be a very feasible solution for future data storage and neuromorphic computing technologies.
Chujun Yin +11 more
semanticscholar +1 more source
Resistive random access memory (RRAM) based on ultrathin 2D materials is considered to be a very feasible solution for future data storage and neuromorphic computing technologies.
Chujun Yin +11 more
semanticscholar +1 more source
Coding for Resistive Random-Access Memory Channels
GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020In this paper, we propose channel coding techniques that can mitigate both the sneak-path interference and the channel noise for resistive random-access memory (ReRAM) channels. The main challenge is that the sneak-path interference is data-dependent, and also correlated within a memory array, and hence the conventional error correction coding scheme ...
Guanghui Song +4 more
openaire +1 more source

