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Replicating the computational functionalities and performances of the brain remains one of the biggest challenges for the future of information and communication technologies. Such an ambitious goal requires research efforts from the…

Biological Physics · Physics 2015-05-20 Selina La Barbera , Dominique Vuillaume , Fabien Alibart

Magnetohydrodynamically induced interface instability in liquid metal batteries is analyzed. The batteries are represented by a simplified system in the form of a rectangular cell, in which strong vertical electric current flows through…

Fluid Dynamics · Physics 2018-04-12 Oleg Zikanov

Memory cells are an important building block of digital electronics. We combine here the unique electronic properties of semiconducting monolayer MoS2 with the high conductivity of graphene to build a 2D heterostructure capable of…

Mesoscale and Nanoscale Physics · Physics 2013-03-21 Simone Bertolazzi , Daria Krasnozhon , Andras Kis

Serial connection of multiple memory cells using perpendicular magnetic tunnel junctions (pMTJ) is proposed as a way to increase magnetic random access memory (MRAM) storage density. Multi-bit storage element is designed using pMTJs…

Applied Physics · Physics 2019-07-24 Piotr Rzeszut , Witold Skowroński , Sławomir Ziętek , Jerzy Wrona , Tomasz Stobiecki

Nonvolatile resistive-switching (RS) memories promise to revolutionize hardware architectures with in-memory computing. Recently, ion-interclation materials have attracted increasing attention as potential RS materials for their…

Chemical Physics · Physics 2022-08-02 Huanhuan Tian , Martin Z. Bazant

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

Resistive memories store information in a crossbar arrangement of two-terminal devices that can be programmed to patterns of high or low resistance. While extremely compact, this technology suffers from the "sneak-path" problem: certain…

Information Theory · Computer Science 2022-02-15 Susanna E. Rumsey , Stark C. Draper , Frank R. Kschischang

A natural embodiment for multifunctional materials combining energy-storing capabilities and structural mechanical properties are layered structures, similar to both laminate structural composites and electrochemical energy storage devices.…

Materials Science · Physics 2020-08-13 Moumita Rana , Yunfu Ou , Chenchen Meng , Federico Sket , Carlos González , Juan J. Vilatela

This study provides new sets of experimental results supporting Westerlund's conjecture that Dead Matter Has Memory. Memory effects in the dynamic response of electric double-layer capacitors (EDLCs) that integrate its prior history of…

Applied Physics · Physics 2023-02-09 Anis Allagui , Di Zhang , Ahmed Elwakil

A simple but efficient approach for the synthesis of transmission-type wideband polarization converters is presented. The proposed configuration comprises multilayer metasurfaces including resonant particles which are progressively rotated…

Applied Physics · Physics 2020-12-11 Filippo Costa , Michele Borgese

Memristor is a promising building block for the next generation nonvolatile random access memory and bio-inspired computing systems. Organizing memristors into high density crossbar arrays, although challenging, is critical to meet the…

Mesoscale and Nanoscale Physics · Physics 2018-11-16 Shuang Pi , Can Li , Hao Jiang , Weiwei Xia , Huolin Xin , J. Joshua Yang , Qiangfei Xia

The embedded DRAM (eDRAM) is more and more used in System On Chip (SOC). The integration of the DRAM capacitor process into a logic process is challenging to get satisfactory yields. The specific process of DRAM capacitor and the low…

Hardware Architecture · Computer Science 2011-11-09 L. Lopez , J. M. Portal , D. Nee

Sparse neural systems are gaining traction for efficient continual learning due to their modularity and low interference. Architectures such as Sparse Distributed Memory Multi-Layer Perceptrons (SDMLP) construct task-specific subnetworks…

Machine Learning · Computer Science 2025-12-18 Huiyan Xue , Xuming Ran , Yaxin Li , Qi Xu , Enhui Li , Yi Xu , Qiang Zhang

The development of neuromorphic systems based on memristive elements - resistors with memory - requires a fundamental understanding of their collective dynamics when organized in networks. Here, we study an experimentally inspired model of…

Statistical Mechanics · Physics 2017-01-18 Forrest C. Sheldon , Massimiliano Di Ventra

Impressive progress in the control of atomically thin crystals is now enabling the realization of gated structures in which two electrodes are separated by atomic scale distances. The electrical capacitance of these structures is determined…

Mesoscale and Nanoscale Physics · Physics 2021-10-18 Christophe Berthod , Haijing Zhang , Alberto F. Morpurgo , Thierry Giamarchi

Amorphous insulators have localized wave functions that decay with the distance $r$ following exp($-r/\zeta$). Since nanoscale conduction is not excluded at $r<\zeta$, one may use amorphous insulators and take advantage of their size effect…

Mesoscale and Nanoscale Physics · Physics 2019-02-21 Yang Lu , I-Wei Chen

Scaling down materials to an atomic-layer level produces rich physical and chemical properties as exemplified in various two-dimensional (2D) crystals extending from graphene, transition metal dichalcogenides to black phosphorous. This is…

Materials Science · Physics 2016-03-28 Masaro Yoshida , Ryuji Suzuki , Yijin Zhang , Masaki Nakano , Yoshihiro Iwasa

Memristive technologies are attractive candidates to replace conventional memory technologies, and can also be used to perform logic and arithmetic operations using a technique called 'stateful logic.' Combining data storage and computation…

Hardware Architecture · Computer Science 2022-05-31 Shahar Kvatinsky

Ion concentration polarization (CP, current-induced concentration gradient adjacent to a charge-selective interface) has been well studied for single-phase mixed conductors (e.g., liquid electrolyte), but multiphase CP has been rarely…

Materials Science · Physics 2022-12-21 Huanhuan Tian , Ju Li , Martin Bazant

Current memcapacitor implementations typically demand complex fabrication processes or depend on organic materials exhibiting poor environmental stability and reproducibility. Here, we demonstrate memcapacitor structures utilizing a quasi…