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Memristors are an electronic device whose resistance depends on the voltage history that has been applied to its two terminals. Despite its clear advantage as a computational element, a suitable transport model is lacking for the special…

Emerging Technologies · Computer Science 2022-10-05 T. F. Tiotto , A. S. Goossens , A. E. Dima , C. Yakopcic , T. Banerjee , J. P. Borst , N. A. Taatgen

My research is dedicated to the electronic properties of functional oxides. My activity specifically focuses on ferroelectric tunnel junctions in which an ultrathin layer of ferroelectric material is intercalated between two metallic…

Materials Science · Physics 2020-11-17 Vincent Garcia

Single-electron transistors would represent an approach for less power consuming microelectronic devices if room-temperature operation and industry-compatible fabrication were possible. We present a concept based on stripes of small,…

Materials Science · Physics 2017-07-18 Svenja Willing , Hauke Lehmann , Mirjam Volkmann , Christian Klinke

Long-range moire patterns in twisted WSe2 enable a built-in, moire-length-scale ferroelectric polarization that can be directly harnessed in electronic devices. Such a built-in ferroic landscape offers a compelling means to enable…

Materials Science · Physics 2025-12-10 Arup Singha , Shaili Sett , Kenji Watanabe , Takashi Taniguchi , Arindam Ghosh , Rahul Debnath

Conventional neuro-computing architectures and artificial neural networks have often been developed with no or loose connections to neuroscience. As a consequence, they have largely ignored key features of biological neural processing…

Emerging Technologies · Computer Science 2017-11-08 Giacomo Indiveri , Bernabe Linares-Barranco , Robert Legenstein , George Deligeorgis , Themistoklis Prodromakis

We extend the reach of temporal computing schemes by developing a memory for multi-channel temporal patterns or "wavefronts." This temporal memory re-purposes conventional one-transistor-one-resistor (1T1R) memristor crossbars for use in an…

Emerging Technologies · Computer Science 2020-03-23 Advait Madhavan , Mark D. Stiles

We propose a magnetic topological transistor based on MnBi$_{2}$Te$_{4}$, in which the "on" state (quantized conductance) and the "off" state (zero conductance) can be easily switched by changing the relative direction of two adjacent…

Mesoscale and Nanoscale Physics · Physics 2023-03-16 Hai-Peng Sun , Chang-An Li , Sang-Jun Choi , Song-Bo Zhang , Hai-Zhou Lu , Björn Trauzettel

Overcoming the limitations of the von Neumann architecture requires new computational paradigms capable of solving complex problems efficiently. Quantum and neuromorphic computing rely on unconventional materials and device functionalities,…

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…

Owing to the outstanding properties provided by nontrivial band topology, topological phases of matter are considered as a promising platform towards low-dissipation electronics, efficient spin-charge conversion, and topological quantum…

Once referred to as the missing circuit component, memristor has come long way across to be recognized and taken as important to future circuit designs. The memristor due to its ability to memorize the state, switch between different…

Emerging Technologies · Computer Science 2016-12-07 Alex Pappachen James

The electronic conduction of a novel, three-terminal molecular architecture, analogous to a heterojunction bipolar transistor is studied. In this architecture, two diode arms consisting of donor-acceptor molecular wires fuse through a ring,…

Mesoscale and Nanoscale Physics · Physics 2009-11-13 Haiying He , Ravindra Pandey , Shashi P. Karna

Memristor has been identified as the fourth fundamental circuit element by Dr. Leon Chua in 1971 and since then it has gathered a lot of interest because of its non-volatility and are considered as a viable solution to the beyond CMOS era…

Systems and Control · Electrical Eng. & Systems 2024-09-06 Prashant Gupta , Priscilla Jennifer

Memristor devices are crucial for developing neuromorphic computers and next-generation memory technologies. In this work, we provide a comprehensive modelling tool for simulating static DC reading operations of memristor crossbar arrays…

Neural and Evolutionary Computing · Computer Science 2019-10-23 Yasir J Noori , C H de Groot

The understanding of neural networks as neuron-synapse binaries has been the foundation of neuroscience, and therefore, the emerging neuromorphic computing technology that takes inspiration from the brain. This dogma, however, has been…

Applied Physics · Physics 2025-06-23 Yifei Yang , Mingkun Xu , Jing Pei , Peng Li , Guoqi Li , Si Wu , Huanglong Li

We report gate-tunable memristive switching in patterned LaAlO3/SrTiO3 interfaces at cryogenic temperatures. The application of voltages in the order of a few volts to the back gate of the device allows controlling and switching-on and -off…

Memristors are promising devices for scalable and low power, in-memory computing to improve the energy efficiency of a rising computational demand. The crossbar array architecture with memristors is used for vector matrix multiplication…

Emerging Technologies · Computer Science 2025-05-20 Neethu Kuriakose , Arun Ashok , Christian Grewing , André Zambanini , Stefan van Waasen

An electrical analysis is performed for a memristor crossbar array integrated with operational amplifiers including the effects of parasitic or contact resistances. It is shown that the memristor crossbar array can act as a transfer matrix…

Instrumentation and Detectors · Physics 2010-04-02 Blaise Mouttet

Traditional studies of memristive devices have mainly focused on their applications in non-volatile information storage and information processing. Here, we demonstrate that the third fundamental component of information technologies { the…

Emerging Technologies · Computer Science 2017-04-26 V. A. Slipko , Y. V. Pershin

The progress in the field of neural computation hinges on the use of hardware more efficient than the conventional microprocessors. Recent works have shown that mixed-signal integrated memristive circuits, especially their passive ('0T1R')…

Emerging Technologies · Computer Science 2017-12-05 F. Merrikh Bayat , M. Prezioso , B. Chakrabarti , I. Kataeva , D. Strukov
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