Emerging memories: resistive switching mechanisms and current status

DS Jeong, R Thomas, RS Katiyar… - Reports on progress …, 2012 - iopscience.iop.org
The resistance switching behaviour of several materials has recently attracted considerable
attention for its application in non-volatile memory (NVM) devices, popularly described as …

Memristors for energy‐efficient new computing paradigms

DS Jeong, KM Kim, S Kim, BJ Choi… - Advanced Electronic …, 2016 - Wiley Online Library
In this Review, memristors are examined from the frameworks of both von Neumann and
neuromorphic computing architectures. For the former, a new logic computational process …

A review of three‐dimensional resistive switching cross‐bar array memories from the integration and materials property points of view

JY Seok, SJ Song, JH Yoon, KJ Yoon… - Advanced Functional …, 2014 - Wiley Online Library
Issues in the circuitry, integration, and material properties of the two‐dimensional (2D) and
three‐dimensional (3D) crossbar array (CBA)‐type resistance switching memories are …

Nonvolatile memory materials for neuromorphic intelligent machines

DS Jeong, CS Hwang - Advanced Materials, 2018 - Wiley Online Library
Recent progress in deep learning extends the capability of artificial intelligence to various
practical tasks, making the deep neural network (DNN) an extremely versatile hypothesis …

γ-GeSe: a new hexagonal polymorph from group IV–VI monochalcogenides

S Lee, JE Jung, H Kim, Y Lee, JM Park, J Jang… - Nano …, 2021 - ACS Publications
The family of group IV–VI monochalcogenides has an atomically puckered layered structure,
and their atomic bond configuration suggests the possibility for the realization of various …

Electrical Performance and Scalability of Pt Dispersed SiO2 Nanometallic Resistance Switch

BJ Choi, AC Torrezan, KJ Norris, F Miao… - Nano …, 2013 - ACS Publications
Highly reproducible bipolar resistance switching was recently demonstrated in a composite
material of Pt nanoparticles dispersed in silicon dioxide. Here, we examine the electrical …

Towards artificial neurons and synapses: a materials point of view

DS Jeong, I Kim, M Ziegler, H Kohlstedt - RSC advances, 2013 - pubs.rsc.org
We overview several efforts to emulate functionalities of basic building blocks, ie neurons
and synapses, of a mammal's brain by means of non-biological inorganic systems. These …

Tutorial: Concepts for closely mimicking biological learning with memristive devices: Principles to emulate cellular forms of learning

M Ziegler, C Wenger, E Chicca… - Journal of Applied Physics, 2018 - pubs.aip.org
The basic building blocks of every neural network are neurons and their inter-cellular
connections, called synapses. In nature, synapses play a crucial role in learning and …

Structure, topology, rings, and vibrational and electronic properties of GeSe glasses across the rigidity transition: A numerical study

M Micoulaut, A Kachmar, M Bauchy, S Le Roux… - Physical Review B …, 2013 - APS
The structural, electronic, and vibrational properties of glassy Ge x Se 1− x are studied using
density-functional-based molecular dynamics. The focus is on four compositions (x= 10 …

First-principles study of the phonon lifetime and low lattice thermal conductivity of monolayer γ-GeSe: A comparative study

B Wang, X Yan, X Cui, Y Cai - ACS Applied Nano Materials, 2022 - ACS Publications
Germanium selenide (GeSe) is a unique two-dimensional (2D) material showing various
polymorphs stable at ambient conditions. Recently, a new phase with a layered hexagonal …