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Mechanical memory and computing are gaining significant traction as means to augment traditional electronics for robust and energy efficient performance in extreme environments. However, progress has largely focused on bistable…

In this work we use density functional theory (DFT) calculations to benchmark empirical potentials for the interaction between nickel and sp$^2$ bonded carbon nanoparticles. These potentials are then used in order to investigate how Ni…

Materials Science · Physics 2019-10-02 Samaneh Nasiri , Kai Wang , Mingjun Yang , Qianqian Li , Michael Zasier

C2CNT (Carbon dioxide to carbon nanotube) cement plants have been introduced and analyzed which provide a significant economic incentive to eliminate the massive CO2 greenhouse gas emissions of current plants and serves as a template for…

Materials Science · Physics 2016-08-03 Stuart Licht

In the present study, we report a systematic study of doping/ admixing of carbon nanotubes (CNTs) in different concentrations in MgB2. The composite material corresponding to MgB2+ x at.%CNTs (35 at.% > x > 0 at.%) have been prepared by…

Superconductivity · Physics 2007-05-23 Chandra Shekhar , Rajiv Giri , S. K. Malik* , O N Srivastava

A climate mitigation comprehensive solution is presented through the first high yield, low energy synthesis of macroscopic length carbon nanotubes (CNT) wool from CO2 by molten carbonate electrolysis, suitable for weaving into carbon…

Materials Science · Physics 2017-05-26 Marcus Johnson , Jiawen Ren , Matthew Lefler , Gad Licht , Juan Vicini , Stuart Licht

Current supercapacitors present several distinct limitations that severely inhibit the efficiency, power, and electrical capacitance of energy storage devices. Supercapacitors present an exciting prospect that has countless applications in…

Materials Science · Physics 2016-06-03 Sydney Marler

Carbon nanotubes (CNTs) make an ideal one-dimensional (1D) material platform for the exploration of exotic physical phenomena under extremely strong quantum confinement. The 1D character of electrons, phonons and excitons in individual CNTs…

Mesoscale and Nanoscale Physics · Physics 2019-03-18 Weilu Gao , Junichiro Kono

Interfacial friction plays a crucial role in the mechanical properties of carbon nanotube based fibers, composites, and devices. Here we use molecular dynamics simulation to investigate the pressure effect on the friction within carbon…

Materials Science · Physics 2010-01-27 Xiaohua Zhang , Qingwen Li

Molecular dynamics (MD) simulations of equilibrium structures and flows of polar water, nonpolar argon and methane, and mixtures of water and methane confined by single - walled carbon nanotubes (SWCNTs) with different rectangular cross…

Mesoscale and Nanoscale Physics · Physics 2018-12-27 L. V. Mirantsev , A. K. Abramyan

This article deals with the multiscale modeling of stress transfer characteristics of nano-reinforced polymer composite reinforced with regularly staggered carbon fibers. The distinctive feature of construction of nano-reinforced composite…

Materials Science · Physics 2017-02-06 S. I. Kundalwal , S. A. Meguid

In this study, the synthesis of multi-walled carbon nanotubes (MWCNTs) was carried out by chemical vapor deposition (CVD) using propane as the carbon source and Si as the catalyst support. The effect of CVD process variables such as…

Applied Physics · Physics 2018-08-21 Joydip Sengupta

Recently (PRL 96, 106804 (2006)) it was suggested that cobaltocene(CC) molecules encapsulated into (7,7) carbon nanotubes (CNT@(7,7)) could be the basis for new spintronic devices. We show here based on impact molecular dynamics and DFT…

Materials Science · Physics 2007-07-27 David L. Azevedo , Fernando Sato , Antonio Gomes de Sousa Filho , Douglas S. Galvao

Applications based on Single Walled Carbon Nanotube (SWNT) are good example of the great need to continuously develop metrology methods in the field of nanotechnology. Contact and interface properties are key parameters that determine the…

Mesoscale and Nanoscale Physics · Physics 2012-01-23 Julien Buchoux , Ludovic Bellon , Sophie Marsaudon , Jean-Pierre Aimé

Carbon nanotube (CNT) based electronic devices are promising for beyond-silicon solid-state electronics and vacuum micro-nano-electronics. Despite rapid progress in CNT field-effect transistor related solid-state electronics, the…

Applied Physics · Physics 2021-03-10 Nannan Li , Fei Yan , Baoqing Zeng , Yi Luo

Carbon nanotubes (CNTs - long tubular carbon nanostructures) belong to the best electron field emitting materials. Based on the experimentally determined electron density in the dual hot filament/DC plasma deposition system the electric…

Plasma Physics · Physics 2007-05-23 J. Blazek , P. Spatenka , Ch. Taeschner , A. Leonhardt

The stability of a single-walled carbon nanotube placed on top of a catalytic nickel nanoparticle is investigated by means of molecular dynamics simulations. As a case study, we consider the $(12,0)$ nanotube consisting of 720 carbon atoms…

Chemical Physics · Physics 2016-10-07 Alexey V. Verkhovtsev , Stefan Schramm , Andrey V. Solov'yov

Transformation of carbon dioxide into carbon nanotubes, CNTs, by electrolysis in molten carbonates provides a low cost route to extract and store this greenhouse gas. CNTs are more stable, compact and valuable than fuels or other CO2…

Materials Science · Physics 2016-07-11 Stuart Licht , Matthew Lefler , Jiawen Ren , Juan Vicini

Recent studies of single-walled carbon nanotubes (CNTs) in aqueous media have showed that water can significantly affect the tube mechanical properties. CNTs under hydrostatic compression can preserve their elastic properties up to large…

Materials Science · Physics 2019-06-05 Gustavo Brunetto , Nádia F. Andrade , Douglas S. Galvão , Antônio G. Souza Filho

An investigation of quantum dynamical properties was conducted for $^{1}$H$^{+}$ / $^{2}$H$^{+}$ / $^{3}$H$^{+}$ ions as they traverse through a Carbon nanotube (CNT). The investigation is focused on a Fortran based program simulating a…

Mesoscale and Nanoscale Physics · Physics 2015-12-10 Anthony B. Kunkel , Daniel J. Finazzo , Renat A. Sultanov , Dennis Guster

Quantum neural network (QNN) models have received increasing attention owing to their strong expressibility and resistance to overfitting. It is particularly useful when the size of the training data is small, making it a good fit for…

Quantum Physics · Physics 2023-10-30 Hirotoshi Hirai