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The charge-density-wave (CDW) phase is a macroscopic quantum state consisting of a periodic modulation of the electronic charge density accompanied by a periodic distortion of the atomic lattice in quasi-1D or layered 2D metallic crystals.…

Mesoscale and Nanoscale Physics · Physics 2016-10-18 Guanxiong Liu , Bishwajit Debnath , Timothy R. Pope , Tina T. Salguero , Roger K. Lake , Alexander A. Balandin

We report on current oscillations in quasi two-dimensional (2D) 1T-TaS2 charge-density-wave devices. The MHz-frequency range of the oscillations and the linear dependence of the frequency of the oscillations on the current resemble closely…

Mesoscale and Nanoscale Physics · Physics 2020-04-28 Adane K. Geremew , Sergey Rumyantsev , Roger Lake , Alexander A. Balandin

We report on switching among three charge-density-wave phases - commensurate, nearly commensurate, incommensurate - and the high-temperature normal metallic phase in thin-film 1T-TaS2 devices induced by application of an in-plane electric…

We report on the room-temperature switching of 1T-TaS2 thin-film charge-density-wave devices, using nanosecond-duration electrical pulsing to construct their time-resolved current-voltage characteristics. The switching action is based upon…

We report on depinning of nearly-commensurate charge-density waves in 1T-TaS2 thin-films at room temperature. A combination of the differential current-voltage measurements with the low-frequency noise spectroscopy provide unambiguous means…

Mesoscale and Nanoscale Physics · Physics 2024-06-19 A. Mohammadzadeh , A. Rehman , F. Kargar , S. Rumyantsev , J. M. Smulko , W. Knap , R. K. Lake , A. A. Balandin

The 1T polytype of TaS2 exhibits voltage-triggered threshold switching as a result of a phase transition from nearly commensurate to incommensurate charge density wave states. Threshold switching, persistent above room temperature, can be…

Applied Physics · Physics 2019-03-18 G. Liu , E. X. Zhang , C. D. Liang , M. A. Bloodgood , T. T. Salguero , D. M. Fleetwood , A. A. Balandin

The demands of modern electronic components require advanced computing platforms for efficient information processing to realize in-memory operations with a high density of data storage capabilities towards developing alternatives to von…

While the complementary metal-oxide semiconductor (CMOS) technology is the mainstream for the hardware implementation of neural networks, we explore an alternative route based on a new class of spiking oscillators we call thermal…

Emerging Technologies · Computer Science 2023-10-09 Erbin Qiu , Yuan-Hang Zhang , Massimiliano Di Ventra , Ivan K. Schuller

We demonstrate a mechanism for magnetoresistance oscillations in insulating states of two-dimensional (2D) materials arising from the interaction of the 2D layer and proximal graphite gates. We study a series of devices based on different…

Mesoscale and Nanoscale Physics · Physics 2021-12-22 Jiacheng Zhu , Tingxin Li , Andrea F. Young , Jie Shan , Kin Fai Mak

1T-TaS$_2$ exhibits several resistivity phases due to the modulation of charge density wave (CDW). The fact that such phase transition can be driven electrically has attracted a lot of attention in the recent past towards…

Materials Science · Physics 2023-07-21 Mehak Mahajan , Kausik Majumdar

Developing electronic devices capable of emulating biological functions is essential for advancing brain-inspired computation paradigms such as neuromorphic computing. In recent years, two-dimensional materials have emerged as promising…

For layered materials, the interlayer stacking is a critical degree of freedom tuning electronic properties, while its microscopic characterization faces great challenges. The transition-metal dichalcogenide 1T-TaS$_2$ represents a novel…

Materials Science · Physics 2025-08-01 Li Cheng , Linpeng Nie , Xuanyu Long , Li Liang , Dan Zhao , Jian Li , Zheng Liu , Tao Wu , Xianhui Chen , Xiaolong Zou

This paper investigates the potential of near-field (NF) indoor communications in the FR2 frequency bands using fully dielectric structures to generate orbital angular momentum (OAM) waves. All-dielectric platforms based on distributions of…

We use the formerly derived explicit analytical expressions for the conductivity of nanostructured superconductors supercooled below the critical temperature in electric field. Computer simulations reveal that the negative differential…

Superconductivity · Physics 2020-06-26 Todor M. Mishonov , Victor I. Danchev , Ioulia Chikina , Albert M. Varonov

We report results regarding the electron transport in vertical quasi-2D layered 1T-TaS2 charge-density-wave devices. The low-frequency noise spectroscopy was used as a tool to study changes in the cross-plane electrical characteristics of…

The charge density wave (CDW) material 1T-TaS$_2$ exhibits a pulse-induced insulator-to-metal transition, which shows promise for next-generation electronics such as memristive memory and neuromorphic hardware. However, the rational design…

Materials Science · Physics 2023-09-13 James L Hart , Saif Siddique , Noah Schnitzer , Stephen D. Funni , Lena F. Kourkoutis , Judy J. Cha

Low-dimensional electron systems, as realized naturally in graphene or created artificially at the interfaces of heterostructures, exhibit a variety of fascinating quantum phenomena with great prospects for future applications. Once…

Strongly Correlated Electrons · Physics 2016-08-03 T. Ritschel , J. Trinckauf , K. Koepernik , B. Büchner , M. v. Zimmermann , H. Berger , Y. I. Joe , P. Abbamonte , J. Geck

Volatile threshold resistive switching and neuronal oscillations in phase-change materials, specifically those undergoing metal-to-insulator transitions, offer unique attributes such as fast and low-field volatile switching, tunability, and…

Materials Science · Physics 2025-07-08 Huandong Chen , Jayakanth Ravichandran

With remarkable electrical and optical switching properties induced at low power and near room temperature (68C), vanadium dioxide (VO2) has sparked rising interest in unconventional computing among the phase-change materials research…

Neuro-inspired computing architectures are one of the leading candidates to solve complex, large-scale associative learning problems. The two key building blocks for neuromorphic computing are the synapse and the neuron, which form the…

Applied Physics · Physics 2019-01-16 Boyang Zhao , Jayakanth Ravichandran
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