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Improving the heat transfer coefficient is crucial across various energy utilization processes for maintaining device safety and stability with high energy efficiency. However, in scenarios with limited heat capacity flow rates, increasing…

Applied Physics · Physics 2024-05-14 Xinchen Zhou , Ruzhu Wang , Xiaoping Ouyang , Jiping Huang

The longitudinal current density induced by the inhomogeneous electric field in the hot magnetized quark-gluon plasma has been investigated and utilized in obtaining the conductivity of the medium. The analysis has been done in the regime…

Nuclear Theory · Physics 2019-06-26 Manu Kurian , Vinod Chandra

Simulating warm dense matter that undergoes a wide range of temperatures and densities is challenging. Predictive theoretical models, such as quantum-mechanics-based first-principles molecular dynamics (FPMD), require a huge amount of…

Computational Physics · Physics 2019-09-04 Yuzhi Zhang , Chang Gao , Linfeng Zhang , Han Wang , Mohan Chen

This work is devoted to the \textit{ab initio} calculation of transport and optical properties of aluminum. The calculation is based on the quantum molecular dynamics simulation, density functional theory and the Kubo-Greenwood formula.…

Computational Physics · Physics 2013-10-16 D. V. Knyazev , P. R. Levashov

We have performed first-principles molecular-dynamics simulations based on density-functional theory to study the thermophysical properties of ethane under extreme conditions. We present new results for the equation of state of fluid ethane…

Materials Science · Physics 2012-12-12 Yujuan Zhang , Cong Wang , Fawei Zheng , Ping Zhang

Path-integral molecular dynamics (PIMD) simulations have been carried out to study the influence of quantum dynamics of carbon atoms on the properties of a single graphene layer. Finite-temperature properties were analyzed in the range from…

Materials Science · Physics 2016-12-23 Carlos P. Herrero , Rafael Ramirez

The dynamical description of correlated nuclear motion is based on a set of coupled equations of motion for the one-body density matrix $\rho (11';t)$ and the two-body correlation function $c_2(12,1'2';t)$, which is obtained from the…

Nuclear Theory · Physics 2009-02-23 Hong-Gang Luo , W. Cassing , Shun-Jin Wang

Thermal transport through a Coulomb-blockade quantum dot (QD) coupled to two metallic leads is studied using five different approaches to the master equation in which sequential and coutuneling terms are taken into account. In the presence…

Mesoscale and Nanoscale Physics · Physics 2022-04-05 Taha Yasin Ahmed , Nzar Rauf Abdullah , Vidar Gudmundsson

We describe a fast implementation of the quasi-centroid molecular dynamics (QCMD) method in which the quasi-centroid potential of mean force is approximated as a separable correction to the classical interaction potential. This correction…

Chemical Physics · Physics 2021-11-24 Theo Fletcher , Andrew Zhu , Joseph E. Lawrence , David E. Manolopoulos

The rapidly developing quantum technologies and thermodynamics have put forward a requirement to precisely control and measure the temperature of microscopic matter at the quantum level. Many quantum thermometry schemes have been proposed.…

Quantum Physics · Physics 2022-04-01 Ning Zhang , Chong Chen , Si-Yuan Bai , Wei Wu , Jun-Hong An

Equilibrium molecular dynamics (EMD) simulations along with the Green-Kubo formula have been widely used to calculate lattice thermal conductivities. Previous studies, however, focused primarily on the calculated thermal conductivities,…

Materials Science · Physics 2016-12-21 Zuyuan Wang , Salar Safarkhani , Guang Lin , Xiulin Ruan

Temperature estimation, known as thermometry, is a critical sensing task for physical systems operating in the quantum regime. Indeed, thermal fluctuations can significantly degrade quantum coherence. Therefore, accurately determining the…

The emergence of new nanoporous materials, based e.g. on 2D materials, offers new avenues for water filtration and energy. There is accordingly a need to investigate the molecular mechanisms at the root of the advanced performances of these…

Mesoscale and Nanoscale Physics · Physics 2023-07-10 Geoffrey Monet , Marie-Laure Bocquet , Lydéric Bocquet

The Coulomb log (log {\Lambda}) approximation is widely used to approximate electron transport coefficients in dense plasmas. It is a classical approximation to the momentum transport cross section. The accuracy of this approximation for…

Plasma Physics · Physics 2018-10-17 Charles Starrett

At very low temperatures, the tunnelling theory for amorphous solids predicts a thermal conductivity $\kappa\propto T^p$, with $p = 2$. We have studied the effect of the Nuclear Quadrupole moment on the thermal conductivity of glasses at…

Disordered Systems and Neural Networks · Physics 2008-11-11 Alireza Akbari

We present a detailed description of semi-quantum molecular dynamics simulation of stochastic dynamics of a system of interacting particles. Within this approach, the dynamics of the system is described with the use of classical Newtonian…

Computational Physics · Physics 2015-06-03 Alexander V. Savin , Yuriy A. Kosevich , Andres Cantarero

The Kubo-Greenwood (KG) formula is often used in conjunction with Kohn-Sham (KS) density functional theory (DFT) to compute the optical conductivity, particularly for warm dense mater. For applying the KG formula, all KS eigenstates and…

Materials Science · Physics 2019-11-06 Yael Cytter , Eran Rabani , Daniel Neuhauser , Martin Preising , Ronald Redmer , Roi Baer

The thermal conductivity is calculated with the Helfand-moment method in the Lennard-Jones fluid near the triple point. The Helfand moment of thermal conductivity is here derived for molecular dynamics with periodic boundary conditions.…

Statistical Mechanics · Physics 2007-05-23 S. Viscardy , J. Servantie , P. Gaspard

We propose to use l_0/(l_0+L) for the energy transmission covering both ballistic and diffusive regimes, where l_0 is mean free path and L is system length. This formula is applied to heat conduction in carbon nanotubes (CNTs). Calculations…

Mesoscale and Nanoscale Physics · Physics 2009-11-11 Jian Wang , Jian-Sheng Wang

We propose an approach that can accurately predict the heat conductivity of liquid water. On the one hand, we develop an accurate machine-learned potential based on the neuroevolution-potential approach that can achieve quantum-mechanical…

Computational Physics · Physics 2023-05-30 Ke Xu , Yongchao Hao , Ting Liang , Penghua Ying , Jianbin Xu , Jianyang Wu , Zheyong Fan
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