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The control and manipulation of filamentary resistive switching (FRS) is essential for practical applications in fields like non-volatile memories and neuromorphic computing. However, key aspects of the dynamics of conductive filament…

Mesoscale and Nanoscale Physics · Physics 2024-10-31 R. Leal Martir , E. A. Jagla , D. Rubi , M. J. Sánchez

While the recent establishment of the role of thermophoresis/diffusion-driven oxygen migration during resistance switching in metal oxide memristors provided critical insights required for memristor modeling, extended investigations of the…

Copper oxide thin film based metal-insulator-metal structures were subjected to white light irradiation.The top electrodes included Al, Cr and Ni while the bottom electrode was either Au or Pt. A white light pulse controls the set process…

Materials Science · Physics 2020-11-03 L. D. Varma Sangani , M. Ghanashyam Krishna

Progress of silicon based technology is nearing its physical limit, as minimum feature size of components is reaching a mere 10 nm. The resistive switching behaviour of transition metal oxides and the associated memristor device is emerging…

Beyond-Moore computing technologies are expected to provide a sustainable alternative to the von Neumann approach not only due to their down-scaling potential but also via exploiting device-level functional complexity at the lowest possible…

Mesoscale and Nanoscale Physics · Physics 2024-08-21 S. W. Schmid , L. Pósa , T. N. Török , B. Sánta , Z. Pollner , G. Molnár , Y. Horst , J. Volk , J. Leuthold , A. Halbritter , M. Csontos

During the last decade, valence change memory (VCM) has been extensively studied due to its promising features, such as a high endurance and fast switching times. The information is stored in a high resistive state (logcial '0', HRS) and a…

Transformers have been established as the de-facto backbones for most recent advances in sequence modeling, mainly due to their growing memory capacity that scales with the context length. While plausible for retrieval tasks, it causes…

Machine Learning · Computer Science 2026-03-02 Ali Behrouz , Zeman Li , Yuan Deng , Peilin Zhong , Meisam Razaviyayn , Vahab Mirrokni

We investigate hysteresis effects in a model for non-volatile memory devices. Two mechanisms are found to produce hysteresis effects qualitatively similar to those often experimentally observed in heterostructures of transition metal…

Strongly Correlated Electrons · Physics 2007-05-23 Marcelo J. Rozenberg , Isao H. Inoue , Maria Jose Sanchez

Two-dimensional (2D) materials like transition metal dichalcogenides (TMD) have proved to be serious candidates to replace silicon in several technologies with enhanced performances. In this respect, the two remaining challenges are the…

Prospective spintronic memory and logic devices will benefit from the negligible stray field and ultrafast magnetic dynamics inherent to antiferromagnets [1]. However, realizing isothermal, nonvolatile, and deterministic switching of…

Resistive random access memories are promising for non-volatile memory and brain-inspired computing applications. High variability and low yield of these devices are key drawbacks hindering reliable training of physical neural networks. In…

Materials Science · Physics 2021-05-04 Zheng Jie Tan , Vrindaa Somjit , Cigdem Toparli , Bilge Yildiz , Nicholas Fang

Phase-change memory (PCM), a promising candidate for next-generation non-volatile memories, exploits quenched glassy and thermodynamically stable crystalline states as reversibly switchable state variables. We demonstrate PCM functions…

Strongly Correlated Electrons · Physics 2015-01-15 H. Oike , F. Kagawa , N. Ogawa , A. Ueda , H. Mori , M. Kawasaki , Y. Tokura

The development of novel devices for neuromorphic computing and non-traditional logic operations largely relies on the fabrication of well controlled memristive systems with functionalities beyond standard bipolar behavior and digital…

Applied Physics · Physics 2020-01-29 C. Ferreyra , M. J. Sánchez , M. Aguirre , C. Acha , S. Bengió , J. Lecourt , U. Lüders , D. Rubi

We propose dynamic resistive threshold-logic (DRTL) design based on non-volatile resistive memory. A threshold logic gate (TLG) performs summation of multiple inputs multiplied by a fixed set of weights and compares the sum with a…

Emerging Technologies · Computer Science 2013-08-22 Mrigank Sharad , Deliang Fan , Kaushik Roy

Electrical switching has been observed in carefully designed metal-insulator-metal devices built at small geometries. These devices are also commonly known as memristors and consist of specific materials such as transition metal oxides,…

Materials Science · Physics 2013-06-10 Gaurav Gandhi , Varun Aggarwal

We analyzed micrometer-scale titanium-niobium-oxide prototype memristors, which exhibited low write-power (<3 {\mu}W) and energy (<200 fJ/bit/{\mu}m2), low read-power (~nW), and high endurance (>millions of cycles). To understand their…

Redox-based memristive devices are among the alternatives for the next generation of non volatile memories, but also candidates to emulate the behavior of synapses in neuromorphic computing devices. It is nowadays well established that the…

Mesoscale and Nanoscale Physics · Physics 2020-01-08 Cristian Ferreyra , Wilson Román Acevedo , Ralph Gay , Diego Rubi , María José Sánchez

In this work, we unveil the effect of RS, induced by a current-voltage hysteresis cycles across CVD-grown monolayer MoS2 based gated RRAM, on its transistors electrical and reliability characteristics. A unique gate voltage dependence on…

Applied Physics · Physics 2021-12-08 Ansh , Mayank Shrivastava

Memristive devices, whose resistance can be controlled by applying a voltage and further retained, are attractive as possible circuit elements for neuromorphic computing. This new type of devices poses a number of both technological and…

Mesoscale and Nanoscale Physics · Physics 2023-05-31 Oleg G. Kharlanov

Recurrent LLM architectures have emerged as a promising approach for improving reasoning, as they enable multi-step computation in the embedding space without generating intermediate tokens. Models such as Ouro perform reasoning by…