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The formation of metallic nanofilaments bridging two electrodes across an insulator is a mechanism for resistive switching. Examples of such phenomena include atomic synapses, which constitute a distinct class of memristive devices whose…

Mesoscale and Nanoscale Physics · Physics 2025-06-23 Alison A. Silva , Fabiano M. Andrade , Francesco Caravelli

A finite element model consisting of a conducting filament with or without a gap was used to reproduce behavior of TaO$_x$-based resistive switching devices. The specific goal was to explore the range of possible filament parameters such a…

Applied Physics · Physics 2024-11-25 Rongchen Li , Yang Bai , Marek Skowronski

The nature of the conducting filaments in many resistive switching systems has been elusive. Through in situ transmission electron microscopy, we image the real-time formation and evolution of the filament in a silicon oxide resistive…

Mesoscale and Nanoscale Physics · Physics 2013-01-16 Jun Yao , Lin Zhong , Douglas Natelson , James M. Tour

Memristive switching devices, candidates for resistive random access memory technology, have been shown to switch off through a progression of states with quantized conductance and subsequent non-integer conductance (in terms of conductance…

Mesoscale and Nanoscale Physics · Physics 2016-11-23 Xiaoliang Zhong , Ivan Rungger , Peter Zapol , Olle Heinonen

Memristive devices have gained significant attention for their potential in next-generation non-volatile memory and neuromorphic computing architectures. Among emerging candidates, transition metal oxides have proven particularly promising.…

Materials Science · Physics 2026-05-29 Ashutosh Krishna Amaram , Aditya Koneru , Subramanian KRS Sankaranarayanan

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

The recent co-optimization of memristive technologies and programming algorithms enabled neural networks training with in-memory computing systems. In this context, novel analog filamentary conductive-metal-oxide (CMO)/HfOx redox-based…

Memory devices based on resistive switching (RS) have not been fully realised due to lack of understanding of the underlying switching mechanisms. Nature of ion transport responsible for switching and growth of conducting filament in…

Materials Science · Physics 2018-08-17 Sweety Deswal , Ashok Kumar , Ajeet Kumar

The morphology and dimension of the conductive filament formed in a memristive device are strongly influenced by the thickness of its switching medium layer. Aggressive scaling of this active layer thickness is critical towards reducing the…

The growing energy demands of information and communication technologies, driven by data-intensive computing and the von Neumann bottleneck, underscore the need for energy-efficient alternatives. Resistive random-access memory (RRAM)…

Applied Physics · Physics 2025-09-23 Md Tawsif Rahman Chowdhury , Alireza Moazzeni , Gozde Tutuncuoglu

Resistance Random Access Memory (RRAMTM) device, with its electrically induced nanoscale resistive switching capacity, has been gaining considerable attention as future non-volatile memory device. Here, we propose a mechanism of switching…

Resonant tunnelling is a quantum mechanical process that has long been attracting both scientific and technological attention owing to its intriguing underlying physics and unique applications for high-speed electronics. The materials…

Materials Science · Physics 2015-06-26 Woo Seok Choi , Sang A. Lee , Jeong Ho You , Suyoun Lee , Ho Nyung Lee

The unique property of tantalum (Ta), particularly its long coherent lifetime in superconducting qubits and its exceptional resistance to both acid and alkali, makes it promising for superconducting quantum processors. It is a notable…

Solid state ionic conductors are good candidates for the next generation of nonvolatile computer memory elements. Such devices have to show reproducible resistance switching at reasonable voltage and current values even if scaled down to…

Mesoscale and Nanoscale Physics · Physics 2011-04-25 A. Geresdi , A. Halbritter , A. Gyenis , P. Makk , G. Mihály

Memristors are among the most promising elements for modern microelectronics, having unique properties such as quasi-continuous change of conductance and long-term storage of resistive states. However, identifying the physical mechanisms of…

Mesoscale and Nanoscale Physics · Physics 2022-05-25 Oleg G. Kharlanov , Boris S. Shvetsov , Vladimir V. Rylkov , Anton A. Minnekhanov

Resistive switching devices herald a transformative technology for memory and computation, offering considerable advantages in performance and energy efficiency. Here we employ a simple and scalable material system of conductive oxide…

Applied Physics · Physics 2025-03-27 Yang Li , Wei Wang , Di Zhang , Maria Baskin , Aiping Chen , Shahar Kvatinsky , Eilam Yalon , Lior Kornblum

Nanoscale channels realized at the conducting interface between LaAlO$_{3}$ and SrTiO$_{3}$ provide a perfect playground to explore the effect of dimensionality on the electronic properties of complex oxides. Here we compare the electric…

Achieving reliable resistive switching in oxide-based memristive devices requires precise control over conductive filament (CF) formation and behavior, yet the fundamental relationship between oxide material properties and switching…

Emerging Technologies · Computer Science 2024-12-18 Armin Gooran-Shoorakchaly , Sarah Sharif , Yaser Banad

As data-centric computing advances, energy-efficient interconnects are increasingly critical for AI-driven systems. Traditional metal conductors face severe limitations at nanoscale due to increased resistivity from surface scattering. In…

The resistance state of filamentary memristors can be tuned by relocating only a few atoms at interatomic distances in the active region of a conducting filament. Thereby the technology holds promise not only in its ultimate downscaling…

Mesoscale and Nanoscale Physics · Physics 2023-06-08 Miklós Csontos , Yannik Horst , Nadia Jimenez Olalla , Ueli Koch , Ivan Shorubalko , András Halbritter , Juerg Leuthold
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