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Current-controlled (also known as "S-type") negative differential resistance (NDR) is of crucial importance to many emerging applications including neuromorphic computing and high-density memristors integration. However, the experimental…

Mesoscale and Nanoscale Physics · Physics 2019-01-23 Miao Wang , Chengyu Wang , Chenchen Wu , Qiao Li , Chen Pan , Cong Wang , Shi-Jun Liang , Feng Miao

Two-dimensional van der Waals (vdW) magnetic materials hold promise for the development of high-density, energy-efficient spintronic devices for memory and computation. Recent breakthroughs in material discoveries and spin-orbit torque…

Applied Physics · Physics 2024-03-25 Shivam N. Kajale , Thanh Nguyen , Mingda Li , Deblina Sarkar

The primary mechanism of operation of almost all transistors today relies on electric-field effect in a semiconducting channel to tune its conductivity from the conducting 'on'-state to a non-conducting 'off'-state. As transistors continue…

The metal insulator transition of nano-scaled $VO_2$ devices is drastically different from the smooth transport curves generally reported. The temperature driven transition occurs through a series of resistance jumps ranging over 2 decades…

Mesoscale and Nanoscale Physics · Physics 2008-10-31 Amos Sharoni , Juan Gabriel Ramírez , Ivan K. Schuller

A new model of a symmetric two-terminal non-volatile RRAM device based on Perovskite oxide thin film materials, specifically Pr1-xCaxMnO3 (PCMO), is proposed and analyzed. The model consists of two identical half-parts, which are completely…

Strongly Correlated Electrons · Physics 2015-06-25 X. Chen , J. Strozier , N. J. Wu , A. Ignatiev , Y. B. Nian

Nano-thick metallic transition metal dichalcogenides such as VS$_{2}$ are essential building blocks for constructing next-generation electronic and energy-storage applications, as well as for exploring unique physical issues associated with…

As conventional memory technologies are challenged by their technological physical limits, emerging technologies driven by novel materials are becoming an attractive option for future memory architectures. Among these technologies,…

Materials Science · Physics 2015-05-28 Omid Kavehei , Said Al-Sarawi , Kyoung-Rok Cho , Kamran Eshraghian , Derek Abbott

Controlling the magnetic state of two-dimensional (2D) materials is crucial for spintronic applications. By employing data-mining and autonomous density functional theory calculations, we demonstrate the switching of magnetic properties of…

Materials Science · Physics 2024-03-11 Tom Barnowsky , Stefano Curtarolo , Arkady V. Krasheninnikov , Thomas Heine , Rico Friedrich

Ballistic quantum transport calculations based on the non-equilbrium Green's function formalism show that field-effect transistor devices made from chevron-type graphene nanoribbons (CGNRs) could exhibit negative differential resistance…

Mesoscale and Nanoscale Physics · Physics 2018-02-14 Samuel Smith , Juan-Pablo Llinás , Jeffrey Bokor , Sayeef Salahuddin

Weyl semimetals are characterized by an electronic structure with linearly dispersed nodes and distinguished chirality, protected by broken inversion or time reversal symmetry. The intercalated transition metal dichalcogenide…

Strongly Correlated Electrons · Physics 2025-04-08 Shreenanda Ghosh , Chris Lygouras , Zili Feng , Mingxuan Fu , Satoru Nakatsuji , Natalia Drichko

Here we demonstrate that both, tunnel magneto resistance (TMR) and resistive switching (RS), can be observed simultaneously in nano-scale magnetic tunnel junctions. The devices show bipolar RS of 6 % and TMR ratios of about 100 %. For each…

Materials Science · Physics 2015-05-13 P. Krzysteczko , G. Reiss , A. Thomas

Two-dimensional materials, such as transition metal dichalcogenides (TMDCs), have the potential to revolutionize the field of electronics and photonics due to their unique physical and structural properties. This research presents a novel…

We study the resistive switching (RS) mechanism as way to obtain multi-level memory cell (MLC) devices. In a MLC more than one bit of information can be stored in each cell. Here we identify one of the main conceptual difficulties that…

Two-dimensional (2D) transition-metal dichalcogenides (TMDC) are considered highly promising platforms for next-generation optoelectronic devices. Owing to its atomically thin structure, device performance is strongly impacted by a minute…

Mesoscale and Nanoscale Physics · Physics 2024-04-16 Sergey Trishin , Christian Lotze , Nils Krane , Katharina J. Franke

Crossbar array architecture is an essential design element for densely connected Non-Volatile Memory(NVM) applications. To overcome intrinsic sneak current problem of crossbar arrays, each memory unit is serially attached to a selector unit…

Applied Physics · Physics 2021-02-16 Yiğit Demirağ , Ekmel Özbay , Yusuf Leblebici

We study the electrical response of a wide class of strange metal phases without quasiparticles at finite temperature and charge density, with explicitly broken translational symmetry, using holography. The low frequency electrical…

High Energy Physics - Theory · Physics 2015-03-17 Andrew Lucas

We theoretically analyze the non-linear anomalous Nernst effect as the second-order response of temperature gradient by using the semiclassical framework of electron dynamics. We find that a non-linear current can be generated transverse to…

Mesoscale and Nanoscale Physics · Physics 2019-05-29 Xiao-Qin Yu , Zhen-Gang Zhu , Jhih-Shih You , Tony Low , Gang Su

While non-volatile memories (NVMs) provide several desirable characteristics like better density and comparable energy efficiency than DRAM, DRAM-like performance, and disk-like durability, the limited endurance NVMs manifest remains a…

Hardware Architecture · Computer Science 2023-04-20 Yi Zheng , Aasheesh Kolli , Shaizeen Aga

A unique set of characteristics are packed in emerging nonvolatile reduction-oxidation (redox)-based resistive switching memories (ReRAMs) such as their underlying stochastic switching processes alongside their intrinsic highly nonlinear…

Emerging Technologies · Computer Science 2016-11-16 Jeeson Kim , Taimur Ahmed , Hussein Nili , Jiawei Yang , Doo Seok Jeong , Paul Beckett , Sharath Sriram , Damith C. Ranasinghe , Omid Kavehei

This study investigates strategies for minimizing Joule losses in resistive random access memory (ReRAM) cells, which are also referred to as memristive devices. Typically, the structure of ReRAM cells involves a nanoscale layer of…

Emerging Technologies · Computer Science 2025-07-25 Valeriy A. Slipko , Yuriy V. Pershin