Results 171 to 180 of about 2,424,657 (202)
Some of the next articles are maybe not open access.
From Solid to Fluid: Novel Approaches in Neuromorphic Engineering
Recent Patents on NanotechnologyNeuromorphic engineering is rapidly developing as an approach to mimicking processes in brains using artificial memristors, devices that change conductivity in response to the electrical field (resistive switching effect).
Daniil Nikitin +2 more
exaly +2 more sources
Interface engineering for enhanced memristive devices and neuromorphic computing applications
International Materials ReviewsMemristors, or memristive devices, have gained substantial attention as valuable building blocks for neuromorphic computing systems. Their dynamic reconfiguration enables simulation of essential analog synaptic and neuronal functionalities, making them ...
Jijie Huang, Daozhi Shen, Ming Xiao
exaly +2 more sources
Third-order nanocircuit elements for neuromorphic engineering
Nature, 2020Suhas Kumar +2 more
exaly +2 more sources
Thermal-Induced Multi-State Memristors for Neuromorphic Engineering
International Symposium on Circuits and Systems, 2023With the rapidly evolving internet of things (IoT) era, the ever-rising demand for data transfer and storage has put a knotty problem on conventional computers, known as the von Neumann bottleneck and memory wall problem. Slow scaling of CMOS transistors
Ren Li +6 more
semanticscholar +1 more source
, 2021
In this work, ITO/ZTO/ITO transparent resistive memory was fabricated using a fully industrialized sputtering process. We investigate how the electrical properties correspond to biological synaptic characteristics to utilize the device in neuromorphic ...
J. Ryu +6 more
semanticscholar +1 more source
In this work, ITO/ZTO/ITO transparent resistive memory was fabricated using a fully industrialized sputtering process. We investigate how the electrical properties correspond to biological synaptic characteristics to utilize the device in neuromorphic ...
J. Ryu +6 more
semanticscholar +1 more source
Security as an Important Ingredient in Neuromorphic Engineering
IEEE Computer Society Annual Symposium on VLSI, 2022Mimicking brain functionality has been challenging as today's emerging technologies, systems, and the exploitation of systems are inefficient to meet a brain's energy budget.
Farhad Merchant
semanticscholar +1 more source
ACS Applied Materials and Interfaces, 2020
Synaptic Characteristics of Amorphous Boron Nitride-based Memristors on a Highly Doped Silicon Substrate for Neuromorphic Engineering.
Jinju Lee +14 more
semanticscholar +1 more source
Synaptic Characteristics of Amorphous Boron Nitride-based Memristors on a Highly Doped Silicon Substrate for Neuromorphic Engineering.
Jinju Lee +14 more
semanticscholar +1 more source
Journal of Physical Chemistry B
Some features of the human nervous system can be mimicked not only through software or hardware but also through liquid solutions of chemical systems maintained under out-of-equilibrium conditions.
Laura Tomassoli +5 more
semanticscholar +1 more source
Some features of the human nervous system can be mimicked not only through software or hardware but also through liquid solutions of chemical systems maintained under out-of-equilibrium conditions.
Laura Tomassoli +5 more
semanticscholar +1 more source
Advanced Functional Materials
Oxide‐based memristors are promising candidates for artificial neural network computations using neuromorphic hardware. However, when arranged in large‐scale arrays, their performance is often hindered by challenges such as poor reliability and sneak ...
Dong-eun Kim +9 more
semanticscholar +1 more source
Oxide‐based memristors are promising candidates for artificial neural network computations using neuromorphic hardware. However, when arranged in large‐scale arrays, their performance is often hindered by challenges such as poor reliability and sneak ...
Dong-eun Kim +9 more
semanticscholar +1 more source
Optoelectronic Synapse Enabled by Defect Engineering of Tellurene for Neuromorphic Computing
IEEE Electron Device LettersEmerging optoelectronic synapses hold immense potential for advancing neuromorphic computing systems. However, achieving precise control over selective responses in optoelectronic memory and clarifying tunable synaptic weights has remained challenging ...
Junxiong Guo +11 more
semanticscholar +1 more source