Electrochemical‐memristor‐based artificial neurons and synapses—fundamentals, applications, and challenges

S Chen, T Zhang, S Tappertzhofen, Y Yang… - Advanced …, 2023‏ - Wiley Online Library
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

A review of memristor: material and structure design, device performance, applications and prospects

Y **ao, B Jiang, Z Zhang, S Ke, Y **… - … and Technology of …, 2023‏ - Taylor & Francis
With the booming growth of artificial intelligence (AI), the traditional von Neumann
computing architecture based on complementary metal oxide semiconductor devices are …

Tunable stochastic memristors for energy-efficient encryption and computing

KS Woo, J Han, S Yi, L Thomas, H Park… - Nature …, 2024‏ - nature.com
Abstract Information security and computing, two critical technological challenges for post-
digital computation, pose opposing requirements–security (encryption) requires a source of …

Probabilistic computing using Cu0.1Te0.9/HfO2/Pt diffusive memristors

KS Woo, J Kim, J Han, W Kim, YH Jang… - Nature …, 2022‏ - nature.com
A computing scheme that can solve complex tasks is necessary as the big data field
proliferates. Probabilistic computing (p-computing) paves the way to efficiently handle …

Functional materials for memristor‐based reservoir computing: Dynamics and applications

G Zhang, J Qin, Y Zhang, G Gong… - Advanced Functional …, 2023‏ - Wiley Online Library
The booming development of artificial intelligence (AI) requires faster physical processing
units as well as more efficient algorithms. Recently, reservoir computing (RC) has emerged …

True random number generation using the spin crossover in LaCoO3

KS Woo, A Zhang, A Arabelo, TD Brown, M Park… - Nature …, 2024‏ - nature.com
While digital computers rely on software-generated pseudo-random number generators,
hardware-based true random number generators (TRNGs), which employ the natural …

Memristors with tunable volatility for reconfigurable neuromorphic computing

KS Woo, H Park, N Ghenzi, AA Talin, T Jeong… - ACS …, 2024‏ - ACS Publications
Neuromorphic computing promises an energy-efficient alternative to traditional digital
processors in handling data-heavy tasks, primarily driven by the development of both …

Biodegradable and flexible polymer‐based memristor possessing optimized synaptic plasticity for eco‐friendly wearable neural networks with high energy efficiency

S Oh, H Kim, SE Kim, MH Kim… - Advanced Intelligent …, 2023‏ - Wiley Online Library
Organic memristors are promising candidates for the flexible synaptic components of
wearable intelligent systems. With heightened concerns for the environment, considerable …

Stochastic switching and analog-state programmable memristor and its utilization for homomorphic encryption hardware

WH Cheong, JH In, JB Jeon, G Kim, KM Kim - Nature Communications, 2024‏ - nature.com
Homomorphic encryption performs computations on encrypted data without decrypting,
thereby eliminating security issues during the data communication between clouds and …

Bi2O2Se-Based True Random Number Generator for Security Applications

B Liu, YF Chang, J Li, X Liu, LA Wang, D Verma… - ACS …, 2022‏ - ACS Publications
The fast development of the Internet of things (IoT) promises to deliver convenience to
human life. However, a huge amount of the data is constantly generated, transmitted …