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Vibration reduction is of great importance in various engineering applications, and a material that exhibits good vibration damping along with high strength and modulus has become more and more vital. Owing to the superior mechanical…

Materials Science · Physics 2017-11-07 Jingna Zhao , Fulin Wang , Xin Zhang , Linjie Liang , Xueqin Yang , Qingwen Li , Xiaohua Zhang

Microtribological properties of vertically-aligned carbon-nanotube (VACNT) films have been studied. Adhesion forces were obtained by measuring force-displacement curves. Friction experiments were conducted in reciprocating sliding…

Materials Science · Physics 2008-12-18 H. Kinoshita , Ippei Kume , Masahito Tagawa , N. Ohmae , Viviane Turq , J. M. Martin

Carbon nanotube (CNT) fiber is formed by assembling millions of individual tubes. The assembly feature provides the fiber with rich interface structures and thus various ways of energy dissipation, as reflected by the non-zero loss tangent…

Materials Science · Physics 2015-11-18 Jingna Zhao , Xiaohua Zhang , Zhijuan Pan , Qingwen Li

We present emergent mechanical memory storage behavior in soft cellular materials. The cellular materials are a network of soft hyperelastic rods which store shape changes, specifically local indentation. This happens under an applied…

Soft Condensed Matter · Physics 2023-10-03 Harsh Jain , Shankar Ghosh

Recent advances in metamaterials and fabrication techniques have revived interest in mechanical computing. Contrary to techniques relying on static deformations of buckling beams or origami-based lattices, the integration of wave scattering…

Applied Physics · Physics 2025-11-04 Ethan Fort , Mohamed Mousa , Mostafa Nouh

Nanofabricated mechanical resonators are gaining significant momentum among potential quantum technologies due to their unique design freedom and independence from naturally occurring resonances. With their functionality being widely…

Quantum Physics · Physics 2020-08-11 Andreas Wallucks , Igor Marinković , Bas Hensen , Robert Stockill , Simon Gröblacher

Reservoir computing is a bio-inspired machine learning paradigm that exploits the intrinsic dynamics of nonlinear systems with fading memory for efficient temporal information processing. Microelectromechanical resonators offer a promising…

Coiled Carbon Nanotubes (CCNTs) are increasingly set to become a vital factor in the new generation of nanodevices and energy-absorbing materials due to their outstanding properties. In the following work, the multi-objective optimization…

Materials Science · Physics 2021-03-16 Ehsan Shahini , Fazel Rangriz , Ali Karimi Taheri

Nanometallic devices based on amorphous insulator-metal thin films are developed to provide a novel non-volatile resistance-switching random-access memory (RRAM). In these devices, data recording is controlled by a bipolar voltage, which…

Materials Science · Physics 2014-12-08 Xiang Yang

A pronounced irreversible electro-optical response (memory effect) has been recently observed for nematic liquid crystal (LC) EBBA doped by multi-walled carbon nanotubes (MWCNTs) near the percolation threshold of the MWCNTs (0.02-0.05 wt.…

Soft Condensed Matter · Physics 2012-10-05 L. Dolgov , O. Yaroshchuk , S. Tomylko , N. Lebovka

Magnetic random access memory (MRAM) is a leading emergent memory technology that is poised to replace current non-volatile memory technologies such as eFlash. However, the scaling of MRAM technologies is heavily affected by…

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

The focus in this paper is an analysis of existing state of the arts directed toward the development of the next generation of vibration damping systems. The research work concentrates on an investigation related to…

Materials Science · Physics 2007-08-15 M. -V. Kireitseu , G. Tomlinson , J. Lu , H. Altenbach , G. Rongong , L. -V. Bochkareva , D. Hui

Neuromorphic computing with non-volatile memory (NVM) can significantly improve performance and lower energy consumption of machine learning tasks implemented using spike-based computations and bio-inspired learning algorithms. High…

Neural and Evolutionary Computing · Computer Science 2020-07-07 Shihao Song , Anup Das

The necessity of having an electronic device working in relevant biological time scales with a small footprint boosted the research of a new class of emerging memories. Ag-based volatile resistive switching memories (RRAMs) feature a…

Emerging Technologies · Computer Science 2024-02-08 Saverio Ricci , David Kappel , Christian Tetzlaff , Daniele Ielmini , Erika Covi

Resistance switching random access memory (ReRAM), with the ability to repeatedly modulate electrical resistance, has been highlighted as a feasible high-density memory with the potential to replace negative-AND (NAND) flash memory. Such…

Mesoscale and Nanoscale Physics · Physics 2018-04-11 Yang Lu , Jung Ho Yoon , Yanhao Dong , I-Wei Chen

Performance improvements are expected from integration of photonic devices into information processing systems, and in particular, all-optical memories provide a key functionality. Scaling down the size of memory elements is desirable for…

Mesoscale and Nanoscale Physics · Physics 2018-08-24 T. Uda , A. Ishii , Y. K. Kato

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…

Nanogap engineering of low-dimensional nanomaterials, has received considerable interest in a variety of fields, ranging from molecular electronics to memories. Creating nanogaps at a certain position is of vital importance for the…

Mesoscale and Nanoscale Physics · Physics 2017-09-13 Jian Zhang , Ya Deng , Xiao Hu , Jean Pierre Nshimiyimana , Siyu Liu , Xiannian Chi , Pei Wu , Fengliang Dong , Peipei Chen , Weiguo Chu , Haiqing Zhou , Lianfeng Sun

Bi-stable mechanical resonators play a significant role in various applications, such as sensors, memory elements, and quantum computing. While carbon nanotube (CNT) based resonators have been widely investigated as promising nano…

Mesoscale and Nanoscale Physics · Physics 2022-10-25 S. Rechnitz , T. Tabachnik , M. Shlafman , S. Shlafman , Y. E. Yaish
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