Thermal conductance of nanostructured interfaces from Monte Carlo simulations with ab initio-based phonon properties

2021 ◽  
Vol 129 (21) ◽  
pp. 215105
Author(s):  
Xinpeng Zhao ◽  
Xin Qian ◽  
Xiaobo Li ◽  
Ronggui Yang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Thermal Conductance ◽  
Nanostructured Interfaces ◽  
Phonon Properties

Constructing accurate interaction potentials to describe the microsolvation of protonated methane by helium atoms

2017 ◽  
Vol 19 (12) ◽  
pp. 8307-8321 ◽  
Author(s):  
Dennis Kuchenbecker ◽  
Felix Uhl ◽  
Harald Forbert ◽  
Georg Jansen ◽  
Dominik Marx
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Path Integral ◽  
Interaction Potential ◽  
Stationary Point ◽  
Path Integral Monte Carlo ◽  
Interaction Potentials ◽  
Helium Atoms

An ab initio-derived interaction potential is derived and used in path integral Monte Carlo simulations to investigate stationary-point structures of CH5+ microsolvated by up to four helium atoms.

Magnetic Phase Diagram of Transition Metal Doped ZnO from Density Functional Theory Calculations and Monte Carlo Simulations

2010 ◽  
Vol 1260 ◽  
Author(s):  
Sanjeev K. Nayak ◽  
Heike C. Herper ◽  
Peter Entel
Keyword(s):  
Monte Carlo ◽  
Curie Temperature ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Density Functional ◽  
Magnetic Phase Diagram ◽  
Density Functional Theory Calculations ◽  
Antiferromagnetic Coupling ◽  
Doped Zno ◽  
Co Concentrations

AbstractTransition metals doped ZnO are possible candidates for multiferroics. Here, we have investigated the evolution of ferromagnetism due to Co dopants. The magnetic properties have been studied for Co concentrations from 0 to 100% by using ab-initio methods, i.e., KKR Green's function techniques. In order to estimate the Curie temperature we have performed Monte Carlo simulations with ab-initio calculated exchange parameters.From our calculations the onset of ferromagnetism occurs between 5 to 20% of Co depending on the numerical details of KKR method used. For Co concentrations larger than 50% the system is dominated by antiferromagnetic coupling and no Curie temperature can be obtained.

scholarly journals Ab initio Gibbs ensemble Monte Carlo simulations of the liquid–vapor equilibrium and the critical point of sodium

2021 ◽  
Vol 23 (1) ◽  
pp. 311-319
Author(s):  
Zhi Li ◽  
Christophe Winisdoerffer ◽  
François Soubiran ◽  
Razvan Caracas
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Electronic States ◽  
Gibbs Ensemble ◽  
Metallic System ◽  
Excited Electronic States ◽  
Ensemble Monte Carlo ◽  
Vapor Equilibrium ◽  
Gibbs Ensemble Monte Carlo

We extend the application of the ab initio Gibbs ensemble method to the metallic system by including the contribution of excited electronic states.

A Theoretical Study of the Hydration of Li+ by Monte Carlo Simulations with Refined Ab Initio Based Model Potentials

2006 ◽  
Vol 115 (2-3) ◽  
pp. 177-189 ◽  
Author(s):  
María Luisa San-Román ◽  
Mauricio Carrillo-Tripp ◽  
Humberto Saint-Martin ◽  
Jorge Hernández-Cobos ◽  
Iván Ortega-Blake
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Theoretical Study ◽  
Model Potentials

scholarly journals Configurational Entropy in Multicomponent Alloys: Matrix Formulation from Ab Initio Based Hamiltonian and Application to the FCC Cr-Fe-Mn-Ni System

Entropy ◽  
2019 ◽  
Vol 21 (1) ◽  
pp. 68 ◽  
Author(s):  
Antonio Fernández-Caballero ◽  
Mark Fedorov ◽  
Jan Wróbel ◽  
Paul Mummery ◽  
Duc Nguyen-Manh
Keyword(s):  
Solid Solution ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Density Functional ◽  
Elevated Temperatures ◽  
Thermodynamic Integration ◽  
Matrix Formulation ◽  
Configuration Entropy ◽  
Multi Body

Configuration entropy is believed to stabilize disordered solid solution phases in multicomponent systems at elevated temperatures over intermetallic compounds by lowering the Gibbs free energy. Traditionally, the increment of configuration entropy with temperature was computed by time-consuming thermodynamic integration methods. In this work, a new formalism based on a hybrid combination of the Cluster Expansion (CE) Hamiltonian and Monte Carlo simulations is developed to predict the configuration entropy as a function of temperature from multi-body cluster probability in a multi-component system with arbitrary average composition. The multi-body probabilities are worked out by explicit inversion and direct product of a matrix formulation within orthonomal sets of point functions in the clusters obtained from symmetry independent correlation functions. The matrix quantities are determined from semi canonical Monte Carlo simulations with Effective Cluster Interactions (ECIs) derived from Density Functional Theory (DFT) calculations. The formalism is applied to analyze the 4-body cluster probabilities for the quaternary system Cr-Fe-Mn-Ni as a function of temperature and alloy concentration. It is shown that, for two specific compositions (Cr 25Fe 25Mn 25Ni 25 and Cr 18Fe 27Mn 27Ni 28), the high value of probabilities for Cr-Fe-Fe-Fe and Mn-Mn-Ni-Ni are strongly correlated with the presence of the ordered phases L1 2 -CrFe 3 and L1 0-MnNi, respectively. These results are in an excellent agreement with predictions of these ground state structures by ab initio calculations. The general formalism is used to investigate the configuration entropy as a function of temperature and for 285 different alloy compositions. It is found that our matrix formulation of cluster probabilities provides an efficient tool to compute configuration entropy in multi-component alloys in a comparison with the result obtained by the thermodynamic integration method. At high temperatures, it is shown that many-body cluster correlations still play an important role in understanding the configuration entropy before reaching the solid solution limit of high-entroy alloys (HEAs).

Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl–water interface

2014 ◽  
Vol 16 (41) ◽  
pp. 22545-22554 ◽  
Author(s):  
Jian-Cheng Chen ◽  
Bernhard Reischl ◽  
Peter Spijker ◽  
Nico Holmberg ◽  
Kari Laasonen ◽  
...  
Keyword(s):  
Molecular Dynamics ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Ab Initio ◽  
Kinetic Monte Carlo ◽  
Water Interface ◽  
Kinetic Monte Carlo Simulations

We have used ab initio molecular dynamics (AIMD) and Kinetic Monte Carlo simulations to study the interaction of water with the NaCl surface.

Sign in / Sign up

Export Citation Format

Share Document