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Related papers: Purely electronic nanometallic ReRAM

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Non-Volatile Memories (NVMs) such as Resistive RAM (RRAM) are used in neuromorphic systems to implement high-density and low-power analog synaptic weights. Unfortunately, an RRAM cell can switch its state after reading its content a certain…

Neural and Evolutionary Computing · Computer Science 2021-06-18 Shihao Song , Twisha Titirsha , Anup Das

Rowhammer is a serious security problem of contemporary dynamic random-access memory (DRAM) where reads or writes of bits can flip other bits. DRAM manufacturers add mitigations, but don't disclose details, making it difficult for customers…

Cryptography and Security · Computer Science 2022-12-01 Amir Naseredini , Martin Berger , Matteo Sammartino , Shale Xiong

An annular magnetic memory that uses a spin-polarized current to switch the magnetization direction or helicity of a magnetic region is proposed. The device has magnetic materials in the shape of a ring (1 to 5 nm in thickness, 20 to 250 nm…

Mesoscale and Nanoscale Physics · Physics 2015-05-13 Andrew D. Kent , Daniel L. Stein

Repeated off-chip memory accesses to DRAM drive up operating power for data-intensive applications, and SRAM technology scaling and leakage power limits the efficiency of embedded memories. Future on-chip storage will need higher density…

Emerging Technologies · Computer Science 2022-01-13 Lillian Pentecost , Alexander Hankin , Marco Donato , Mark Hempstead , Gu-Yeon Wei , David Brooks

The authors proposed and computationally analyzed nonvolatile static random access memory (NV-SRAM) architecture using metal-oxide-semiconductor field-effect transistor (MOSFET) type of spin-transistors referred to as pseudo-spin-MOSFET…

Materials Science · Physics 2009-01-21 Yusuke Shuto , Shuu'ichirou Yamamoto , Satoshi Sugahara

Memristive devices whose resistance can be hysteretically switched by electric field or current are intensely pursued both for fundamental interest as well as potential applications in neuromorphic computing and phase-change memory. When…

Resistive switching is the fundamental process that triggers the sudden change of the electrical properties in solid-state devices under the action of intense electric fields. Despite its relevance for information processing, ultrafast…

Carbon nanotube field-effect transistor (CNTFET) refers to a field-effect transistor that utilizes a single carbon nanotube or an array of carbon nanotubes as the channel material instead of bulk silicon in the traditional MOSFET structure.…

Emerging Technologies · Computer Science 2012-03-12 Naagesh S. Bhat

Emerging electronic devices are promising to drive the performance of computer systems to new heights, against the notable saturation in traditional transistor-based architectures. Among them, resistive RAM -- or ReRAM -- has attracted a…

Emerging Technologies · Computer Science 2021-03-09 David Radakovits , Nima Taherinejad

The use of magnetic nanowires as memory units is made possible by the exponential divergence of the characteristic time for magnetization reversal at low temperature, but the slow relaxation makes the manipulation of the frozen magnetic…

Materials Science · Physics 2011-04-21 A. Vindigni , A. Rettori , L. Bogani , A. Caneschi , D. Gatteschi , R. Sessoli , M. A. Novak

The ever-increasing amount of data from ubiquitous smart devices fosters data-centric and cognitive algorithms. Traditional digital computer systems have separate logic and memory units, resulting in a huge delay and energy cost for…

Applied Physics · Physics 2025-03-17 Qiming Shao , Zhongrui Wang , Yan Zhou , Shunsuke Fukami , Damien Querlioz , Leon O. Chua

The current flash memory technology focuses on the cost minimization of its static storage capacity. However, the resulting approach supports a relatively small number of program-erase cycles. This technology is effective for consumer…

Information Theory · Computer Science 2015-01-05 Eyal En Gad , Eitan Yaakobi , Anxiao , Jiang , Jehoshua Bruck

Nature inspired neuromorphic architectures are being explored as an alternative to imminent limitations of conventional complementary metal-oxide semiconductor (CMOS) architectures. Utilization of such architectures for practical…

Applied Physics · Physics 2017-12-29 Saurabh K. Bose , Joshua B. Mallinson , Rodrigo M. Gazoni , Simon A. Brown

In neuromorphic photonic systems, device operations are typically governed by analog signals, necessitating digital-to-analog converters (DAC) and analog-to-digital converters (ADC). However, data movement between memory and these…

Emerging Technologies · Computer Science 2026-01-13 Sean Lam , Ahmed Khaled , Simon Bilodeau , Bicky A. Marquez , Paul R. Prucnal , Lukas Chrostowski , Bhavin J. Shastri , Sudip Shekhar

Oxide-based Random Access Memory (OxRAM), is part of the larger family of Resistive RAM (RRAM) memories. Generally OxRAM cells consist of a transition metal oxide (typically HfO2, Ta2O5, TiO2) sandwiched between two metal electrodes…

Emerging Technologies · Computer Science 2018-10-25 Georgi Gorine

Resistive Switching (RS) is the change in resistance of a dielectric under the influence of an external current or electric field. This change is non-volatile, and the basis of both the memristor and resistive random access memory. In the…

Mesoscale and Nanoscale Physics · Physics 2015-09-30 Paul K. Radtke , Lutz Schimansky-Geier

Resistive Random-Access Memory (RRAM) is well-suited to accelerate neural network (NN) workloads as RRAM-based Processing-in-Memory (PIM) architectures natively support highly-parallel multiply-accumulate (MAC) operations that form the…

Hardware Architecture · Computer Science 2022-11-11 Aditya Manglik , Minesh Patel , Haiyu Mao , Behzad Salami , Jisung Park , Lois Orosa , Onur Mutlu

Two-dimensional (2D) materials are popular candidates for emerging nanoscale devices, including memristors. Resistive switching (RS) in such 2D material memristors has been attributed to the formation and dissolution of conductive filaments…

A Ferroelectric Analog Non-Volatile Memory based on a WOx electrode and ferroelectric HfZrO4 layer is fabricated at a low thermal budget (~375C), enabling BEOL processes and CMOS integration. The devices show suitable properties for…

As neural computation is revolutionizing the field of Artificial Intelligence (AI), rethinking the ideal neural hardware is becoming the next frontier. Fast and reliable von Neumann architecture has been the hosting platform for neural…

Neural and Evolutionary Computing · Computer Science 2024-12-31 Yigit Demirag