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Related papers: Carbon Memory Assessment

200 papers

We propose carbon as new resistive memory material for non-volatile memories and compare three allotropes of carbon, namely carbon nanotubes, graphene-like conductive carbon and insulating carbon for their possible application as…

Carbon-based materials like nanotubes and graphene are heavily investigated as future CMOS-like devices and in interconnect applications. While much of the interest has been devoted to the device aspects in competition to conventional CMOS…

Materials Science · Physics 2010-12-23 Franz Kreupl

As conventional technology scaling approaches physical and power limitations, modern computing systems increasingly face performance bottlenecks arising from memory latency, energy consumption, scalability constraints, and data movement…

Hardware Architecture · Computer Science 2026-05-22 Siddhartha Raman Sundara Raman

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

The development in electronic sector has brought a remarkable change in the life style of mankind. At the same time this technological advancement results adverse effect on environment due to the use of toxic and non degradable materials in…

Materials Science · Physics 2023-06-21 Farhana Yasmin Rahman , Debajyoti Bhattacharjee , Syed Arshad Hussain

Memory has always been a building block element for information technology. Emerging technologies such as artificial intelligence, big data, the internet of things, etc., require a novel kind of memory technology that can be energy…

Materials Science · Physics 2022-05-12 Anurag Pritam , Ritu Gupta , Prakash Chandra Mondal

We survey the current state of phase change memory (PCM), a non-volatile solid-state memory technology built around the large electrical contrast between the highly-resistive amorphous and highly-conductive crystalline states in so-called…

The quest for energy-efficient, scalable neuromorphic computing has elevated compute-in-memory (CIM) architectures to the forefront of hardware innovation. While memristive memories have been extensively explored for synaptic implementation…

Materials Science · Physics 2025-08-20 Kapil Bhardwaj , Ella Paasio , Sayani Majumdar

As conventional memory technologies are challenged by their technological physical limits, emerging technologies driven by novel materials are becoming an attractive option for future memory architectures. Among these technologies,…

Materials Science · Physics 2015-05-28 Omid Kavehei , Said Al-Sarawi , Kyoung-Rok Cho , Kamran Eshraghian , Derek Abbott

Resistive memories are outstanding electron devices that have displayed a large potential in a plethora of applications such as nonvolatile data storage, neuromorphic computing, hardware cryptography, etc. Their fabrication control and…

Phase change memory (PCM) relies on a reversible transition between amorphous and crystalline states of a material, and stands as a promising candidate for next-generation, energy-efficient data storage and neuromorphic hardware. Here, we…

Compute-in-memory (CIM) presents an attractive approach for energy-efficient computing in data-intensive applications. However, the development of suitable memory designs to achieve high-performance CIM remains a challenging task. Here, we…

Emerging Technologies · Computer Science 2023-11-21 Yuhao Shu , Hongtu Zhang , Hao Sun , Mengru Zhang , Wenfeng Zhao , Qi Deng , Zhidong Tang , Yumeng Yuan , Yongqi Hu , Yu Gu , Xufeng Kou , Yajun Ha

Resistive-switching memories are alternative to Si-based ones, which face scaling and high power consumption issues. Tetrahedral amorphous carbon (ta-C) shows reversible, non-volatile resistive switching. Here we report polarity independent…

Applied Physics · Physics 2020-02-04 A. K. Ott , C. Dou , U. Sassi , I. Goykhman , D. Yoon , J. Wu , A. Lombardo , A. C. Ferrari

As conventional silicon technology is approaching its fundamental material and physical limits with continuous scaling, there is a growing push to look for new platform to design memory circuits for nanoelectronic applications. In this…

Mesoscale and Nanoscale Physics · Physics 2013-09-02 Md. Nahid Hossain , Masud H Chowdhury

The emergence of resistive non-volatile memories opens the way to highly energy-efficient computation near- or in-memory. However, this type of computation is not compatible with conventional ECC, and has to deal with device unreliability.…

Emerging Technologies · Computer Science 2020-07-14 Marc Bocquet , Tifenn Hirtzlin , Jacques-Olivier Klein , Etienne Nowak , Elisa Vianello , Jean-Michel Portal , Damien Querlioz

Large-capacity Content Addressable Memory (CAM) is a key element in a wide variety of applications. The inevitable complexities of scaling MOS transistors introduce a major challenge in the realization of such systems. Convergence of…

Mesoscale and Nanoscale Physics · Physics 2015-03-17 Kamran Eshraghian , Kyoung Rok Cho , Omid Kavehei , Soon-Ku Kang , Derek Abbott , Sung-Mo Steve Kang

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

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

Flash memory technology is widely common in modern microelectronics, and is essentially affecting our daily life. Considering the recent progress in photonic circuitry, and in particular silicon photonics circuitry, there is now an…

Applied Physics · Physics 2017-05-24 Meir Grajower , Noa Mazurski , Joseph Shappir , Uriel Levy

Content addressable memory is popular in intelligent computing systems as it allows parallel content-searching in memory. Emerging CAMs show a promising increase in bitcell density and a decrease in power consumption than pure CMOS…

Systems and Control · Electrical Eng. & Systems 2024-09-17 Yihan Pan , Adrian Wheeldon , Mohammed Mughal , Shady Agwa , Themis Prodromakis , Alexantrou Serb
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