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Related papers: Resistive Switching Behaviour of Organic Molecules

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Redox-based nanoionic resistive memory cells (ReRAMs) are one of the most promising emerging nano-devices for future information technology with applications for memory, logic and neuromorphic computing. Recently, the serendipitous…

Organic ferroelectric materials are in demand in the growing field of environmentally friendly, lightweight electronics. Donor-Acceptor charge transfer crystals have been recently proposed as a new class of organic ferroelectrics, which may…

Materials Science · Physics 2024-11-26 Alberto Girlando

It is generally impossible to separately measure the resistance of the functional component (i.e., the intrinsic device materials) and the parasitic component (i.e., terminals, interfaces and serial loads) in a two-terminal device. Yet such…

Mesoscale and Nanoscale Physics · Physics 2017-09-13 Yang Lu , I-Wei Chen

Superconducting devices, which rely on modulating a complex superconducting order parameter in a Josephson junction, have been developed for low power logic operations, high-frequency oscillators, and exquisite magnetic field sensors.…

Superconductivity · Physics 2015-06-17 Burm Baek , William H. Rippard , Samuel P. Benz , Stephen E. Russek , Paul D. Dresselhaus

Learning with physical systems is an emerging paradigm that seeks to harness the intrinsic nonlinear dynamics of physical substrates for learning. The impetus for a paradigm shift in how hardware is used for computational intelligence stems…

Disordered Systems and Neural Networks · Physics 2026-04-28 Francesco Caravelli , Gianluca Milano , Adam Z. Stieg , Carlo Ricciardi , Simon Anthony Brown , Zdenka Kuncic

Memristors are prominent passive circuit elements with promising futures for energy-efficient in-memory processing and revolutionary neuromorphic computation. State-of-the-art memristors based on two-dimensional (2D) materials exhibit…

Computational Physics · Physics 2023-03-14 Samuel Aldana , Jakub Jadwiszczak , Hongzhou Zhang

Memristors are emerging as key electronic components that retain resistance states without power. Their non-volatile nature and ability to mimic synaptic behavior make them ideal for next-generation memory technologies and neuromorphic…

Mesoscale and Nanoscale Physics · Physics 2025-10-28 Tongxin Chen , Yinyu Nie , Yafei Hao , Shengchun Shen , Jiajun Pan , Xiaoguang Li , Yuan Lu

The electrochemical doping transformation in organic semiconductor devices is studied in application to light-emitting cells. It is shown that the device performance can be significantly improved by utilizing new fundamental properties of…

Materials Science · Physics 2012-09-14 V. Bychkov , P. Matyba , V. Akkerman , M. Modestov , D. Valiev , G. Brodin , C. K. Law , M. Marklund , L. Edman

Magnetoresistance (MR) is a characteristic that the resistance of a substance changes with the external magnetic field, reflecting various physical origins and microstructures of the substance. A large MR, namely a huge response to a low…

Materials Science · Physics 2022-03-24 Rui Niu , W. K. Zhu

Nanoscale electronic devices are of great interest for all kinds of applications like switching, energy conversion and sensing. The objective of this chapter, however, is not to discuss specific devices or applications. Rather it is to…

Mesoscale and Nanoscale Physics · Physics 2008-11-03 Supriyo Datta

The necessity of having an electronic device working in relevant biological time scales with a small footprint boosted the research of a new class of emerging memories. Ag-based volatile resistive switching memories (RRAMs) feature a…

Emerging Technologies · Computer Science 2024-02-08 Saverio Ricci , David Kappel , Christian Tetzlaff , Daniele Ielmini , Erika Covi

The memristor is the fundamental non-linear circuit element, with uses in computing and computer memory. ReRAM (Resistive Random Access Memory) is a resistive switching memory proposed as a non-volatile memory. In this review we shall…

Materials Science · Physics 2016-11-15 Ella Gale

We consider a theoretical model for membranes with adhesive receptors, or stickers, that are actively switched between two conformational states. In their 'on'-state, the stickers bind to ligands in an apposing membrane, whereas they do not…

Soft Condensed Matter · Physics 2007-05-23 Bartosz Rozycki , Reinhard Lipowsky , Thomas R. Weikl

The electronic properties of interfaces between two different solids can differ strikingly from those of the constituent materials. For instance, metallic conductivity, and even superconductivity, have been recently discovered at interfaces…

Materials Science · Physics 2009-11-13 H. Dias Alves , A. S. Molinari , H. Xie , A. F. Morpurgo

The fundamental building blocks of modern silicon-based microelectronics, such as double gate transistors in non-volatile Flash memories, are based on the control of electrical resistance by electrostatic charging. Flash memories could soon…

Materials Science · Physics 2013-04-23 Laurent Cario , Cristian Vaju , Benoit Corraze , Vincent Guiot , Etienne Janod

The dominant majority of the hundreds of available spin-crossover compounds, including the technologically most promising ones, are based on the Earth-abundant metal iron, making these switches particularly appealing in terms of sustainable…

Other Condensed Matter · Physics 2020-07-24 Latévi Max Lawson Daku , Mark Earl Casida

A heterojunction-like device consisting of FTO/CeO2/electrolyte/FTO is established with distinct transport performance, where FTO denotes F-doped transparent conducting glass, and the electrolyte is LiI and I2 in acetonitrile. The resistive…

Chemical Physics · Physics 2012-11-22 Xiaoqi Wang , Chuanbing Cai

Memristors are resistive elements retaining information of their past dynamics. They have garnered substantial interest due to their potential for representing a paradigm change in electronics, information processing and unconventional…

Quantum Physics · Physics 2017-02-17 J. Salmilehto , F. Deppe , M. Di Ventra , M. Sanz , E. Solano

Soft stretchable materials are key for arising technologies such as stretchable electronics or batteries, smart textiles, biomedical devices, tissue engineering and soft robotics. Recent attempts to design such materials, via e.g.…

Associative learning is one of the key mechanisms displayed by living organisms in order to adapt to their changing environments. It was early recognized to be a general trait of complex multicellular organisms but also found in "simpler"…

Cell Behavior · Quantitative Biology 2017-01-24 Javier Macia , Blai Vidiella , Ricard Sole