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Monolithic 3YTZP and 3YTZP containing 2.5 vol.% of single-walled carbon nanotubes (SWCNT) were fabricated by Spark Plasma Sintering (SPS) at 1250 C. Microstructural characterization of the as-fabricated 3YTZP/SWCNTs composite shows a…

The authors measured the transport properties of single-walled carbon nanotube (SWCNT) films in the microwave frequency range from 10 MHz to 30 GHz by using the Corbino reflection technique from temperatures of 20-400 K. Based on the real…

材料科学 · 物理学 2009-09-14 Hua Xu , Liangbing Hu , Steven M. Anlage , George Gruner

Understanding thermal transport from nanoscale heat sources is important for a fundamental description of energy flow in materials, as well as for many technological applications including thermal management in nanoelectronics,…

We analyse the oscillatory properties of resonantly damped transverse kink oscillations in two-dimensional prominence threads. The fine structures are modelled as cylindrically symmetric magnetic flux tubes with a dense central part with…

太阳与恒星天体物理 · 物理学 2015-05-20 I. Arregui , R. Soler , J. L. Ballester , A. N. Wright

Numerical simulation of steady-state heat conduction is common for thermal engineering. The simulation process usually involves mathematical formulation, numerical discretization and iteration of discretized ordinary or partial differential…

应用物理 · 物理学 2020-10-09 Jiang-Zhou Peng , Xianglei Liu , Nadine Aubry , Zhihua Chen , Wei-Tao Wu

Thermodynamics and transport properties of a dissipative particle in a tight-binding model are studied through specific heat and optical conductivity. A weak coupling theory is constituted to study the crossover behavior between the…

统计力学 · 物理学 2009-10-30 Takeo Kato , Masatoshi Imada

Many computational studies on hotspot microfluidic cooling devices found in the literature rely on simplified assumptions and conventions that do not capture the full complexity of the conjugate thermal problem, such as constant…

流体动力学 · 物理学 2024-05-09 L. G. Chej , A. G. Monastra , M. F. Carusela

One-dimensional particle chains are fundamental models to explain anomalous thermal conduction in low-dimensional solids like nanotubes and nanowires. In these systems the thermal energy is carried by phonons, i.e. propagating lattice…

介观与纳米尺度物理 · 物理学 2022-03-17 Francesco De Vita , Giovanni Dematteis , Raffaele Mazzilli , Davide Proment , Yuri V. Lvov , Miguel Onorato

We use classical molecular dynamics simulations to study the collapse of single (SWNT) and double-walled (DWNT) carbon nanotube bundles under hydrostatic pressure. The collapse pressure (pc) varies as 1/R^3, where R is the SWNT radius or…

其他凝聚态物理 · 物理学 2009-11-11 Vikram Gadagkar , Prabal K. Maiti , Yves Lansac , A. Jagota , A. K. Sood

Diffusivity is a key quantity in describing velocity fluctuations in granular materials. These fluctuations are the basis of many thermodynamic and hydrodynamic models which aim to provide a statistical description of granular systems. We…

软凝聚态物质 · 物理学 2009-11-10 Brian Utter , R. P. Behringer

High-density carbon nanotube networks (CNNs) continue to attract interest as active elements in nanoelectronic devices, nanoelectromechanical systems (NEMS) and multifunctional nanocomposites. The interplay between the network nanostructure…

介观与纳米尺度物理 · 物理学 2011-08-11 Myung Gwan Hahm , Hailong Wang , Hyunyoung Jung , Sanghyun Hong , Sung-Goo Lee , Sung-Ryong Kim , Moneesh Upmanyu , Yung Joon Jung

While diffusion models have shown great success in image generation, their noise-inverting generative process does not explicitly consider the structure of images, such as their inherent multi-scale nature. Inspired by diffusion models and…

计算机视觉与模式识别 · 计算机科学 2023-04-14 Severi Rissanen , Markus Heinonen , Arno Solin

Using quantum gas microscopy we study the late-time effective hydrodynamics of an isolated cold-atom Fermi-Hubbard system subject to an external linear potential (a "tilt"). The tilt is along one of the principal directions of the…

Learning in deep neural networks (DNNs) is implemented through minimizing a highly non-convex loss function, typically by a stochastic gradient descent (SGD) method. This learning process can effectively find good wide minima without being…

机器学习 · 计算机科学 2021-07-27 Guozhang Chen , Cheng Kevin Qu , Pulin Gong

Molecular dynamics (MD) has long been the de facto choice for simulating complex atomistic systems from first principles. Recently deep learning models become a popular way to accelerate MD. Notwithstanding, existing models depend on…

计算工程、金融与科学 · 计算机科学 2023-01-10 Fang Wu , Stan Z. Li

We present results of non-linear, 2D, numerical simulations of magneto-acoustic wave propagation in the photosphere and chromosphere of small-scale flux tubes with internal structure. Waves with realistic periods of three to five minutes…

天体物理学 · 物理学 2009-11-13 E. Khomenko , M. Collados , T. Felipe

We investigate the propagation of temperature perturbations in an array of coupled nonlinear oscillators at finite temperature. We evaluate the response function at equilibrium and show how the memory effects affect the diffusion…

统计力学 · 物理学 2009-03-31 F. Piazza , S. Lepri

Molecular dynamics simulations are performed to investigate the water permeation across the single-walled carbon nanotube (SWCNT) with the radial breathing mode (RBM) vibration. It is found that the RBM can play a significant role in…

介观与纳米尺度物理 · 物理学 2014-02-20 Qi-Lin Zhang , Wei-Zhou Jiang , Jian Liu , Ren-De Miao , Nan Sheng

Recent numerical studies of oscillating flux tubes have established the significance of resonant absorption in the damping of propagating transverse oscillations in coronal loops. The nonlinear nature of the mechanism has been examined…

太阳与恒星天体物理 · 物理学 2017-08-30 K. Karampelas , T. Van Doorsselaere , P. Antolin

Along with device miniaturization, severe heat accumulation at unexpected nanoscale hotspots attracts wide attentions and urges efficient thermal management. Heat convection is one of the important heat dissipating paths but its mechanism…

应用物理 · 物理学 2022-08-22 Yanru Xu , Shen Xu , Jingchao Zhang , Jianshu Gao , Shugang Deng , Wenxiang Liu , Xinwei Wang , Xin Zhang , Yanan Yue