Harnessing the Metal–Insulator Transition of VO2 in Neuromorphic Computing
P Schofield, A Bradicich, RM Gurrola… - Advanced …, 2023 - Wiley Online Library
Future‐generation neuromorphic computing seeks to overcome the limitations of von
Neumann architectures by colocating logic and memory functions, thereby emulating the …
Neumann architectures by colocating logic and memory functions, thereby emulating the …
Recent progress in vanadium dioxide: The multi-stimuli responsive material and its applications
The reversible phase transition in vanadium dioxide (VO 2) with light, heat, electric,
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …
magnetic, and mechanical stimuli is the enabling concept to function as a smart material. It is …
CMOS-compatible electrochemical synaptic transistor arrays for deep learning accelerators
In-memory computing architectures based on memristive crossbar arrays could offer higher
computing efficiency than traditional hardware in deep learning applications. However, the …
computing efficiency than traditional hardware in deep learning applications. However, the …
Complex oxides for brain‐inspired computing: A review
The fields of brain‐inspired computing, robotics, and, more broadly, artificial intelligence (AI)
seek to implement knowledge gleaned from the natural world into human‐designed …
seek to implement knowledge gleaned from the natural world into human‐designed …
Ionic Sieving Through One‐Atom‐Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing
The first report on ion transport through atomic sieves of atomically thin 2D material is
provided to solve critical limitations of electrochemical random‐access memory (ECRAM) …
provided to solve critical limitations of electrochemical random‐access memory (ECRAM) …
[HTML][HTML] Electrolyte-gated neuromorphic transistors for brain-like dynamic computing
In recent years, the rapid increase in the data volume to be processed has led to urgent
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …
requirements for highly efficient computing paradigms. Brain-like computing that mimics the …
Accurate Weight Update in an Electrochemical Random‐Access Memory Based Cross‐Point Array Using Channel‐High Half‐Bias Scheme for Deep Learning …
Recently cross‐point arrays of synaptic memory devices have been intensively studied to
accelerate deep neural network computations. Among various synaptic devices …
accelerate deep neural network computations. Among various synaptic devices …
Nitrogen doping effect on InGaZnO-based artificial synapse for implementing reservoir computing and SVHN dataset pattern recognition
This work focused on plasma-induced nitrogen-doped indium gallium zinc oxide (InGaZnO:
N) based resistive switching devices. Nitrogen atoms in the InGaZnO: N can reduce the …
N) based resistive switching devices. Nitrogen atoms in the InGaZnO: N can reduce the …
Reversal of Anomalous Hall Effect and Octahedral Tilting in SrRuO3 Thin Films via Hydrogen Spillover
The perovskite SrRuO3 (SRO) is a strongly correlated oxide whose physical and structural
properties are strongly intertwined. Notably, SRO is an itinerant ferromagnet that exhibits a …
properties are strongly intertwined. Notably, SRO is an itinerant ferromagnet that exhibits a …
Piezo strain–controlled phase transition in single-crystalline Mott switches for threshold-manipulated leaky integrate-and-fire neurons
Electrical manipulation of the metal-insulator transition (MIT) in quantum materials has
attracted considerable attention toward the development of ultracompact neuromorphic …
attracted considerable attention toward the development of ultracompact neuromorphic …