中文
相关论文

相关论文: Extended First-Principles Molecular Dynamics Metho…

200 篇论文

Field emission coupled with molecular dynamics simulation (FEcMD) software package is a computational tool for studying the electron emission characteristics and the atomic structure evolution of micro- and nano-protrusions made of pure…

计算物理 · 物理学 2023-10-10 Nan Li , Xinyu Gao , Xianghui Feng , Kai Wu , Yonghong Cheng , Bing Xiao

The Kohn-Sham method uses a single model system, and corrects it by a density functional the exact user friendly expression of which is not known and is replaced by an approximated, usable, model. We propose to use instead more than one…

化学物理 · 物理学 2021-12-28 Étienne Polack , Yvon Maday , Andreas Savin

In a recent paper we have suggested that the finite temperature density matrix can be computed efficiently by a combination of polynomial expansion and iterative inversion techniques. We present here significant improvements over this…

材料科学 · 物理学 2010-10-19 Michele Ceriotti , Thomas D. Kühne , Michele Parrinello

We perform all-electron path integral Monte Carlo (PIMC) and density functional theory molecular dynamics (DFT-MD) calculations to explore warm dense matter states of oxygen. Our simulations cover a wide density-temperature range of…

等离子体物理 · 物理学 2016-01-22 K. P. Driver , F. Soubiran , Shuai Zhang , B. Militzer

We present a new approach for the two-temperature molecular dynamics (MD) model for coupled simulations of electronic and phonon heat conduction in nanoscale systems. The proposed method uses a master equation to perform heat conduction of…

计算物理 · 物理学 2019-09-04 Mohammad W. Ullah , Mauricio Ponga

Extended Lagrangian Born-Oppenheimer molecular dynamics (XL-BOMD) [Phys. Rev. Lett. vol. 100, 123004 (2008)] is combined with Kohn-Sham density functional theory (DFT) using a DFT+U correction based on the Hubbard model. This combined…

We introduce a practical hybrid approach that combines orbital-free density functional theory (DFT) with Kohn-Sham DFT for speeding up first-principles molecular dynamics simulations. Equilibrated ionic configurations are generated using…

Field emission coupled with molecular dynamics simulation (FEcMD) software package is a computational tool for studying atomic structure evolution, structural deformation, phase transitions, recrystallization as well as electron emission…

计算物理 · 物理学 2026-01-22 Bing Xiao , Nan Li , Wenqian Kong , Rui Chu , Hongyu Zhang , Guodong Meng , Kai Wu , Yonghong Cheng

Wave packet molecular dynamics (WPMD) has recently received a lot of attention as a computationally fast tool to study dynamical processes in warm dense matter beyond the Born-Oppenheimer approximation. These techniques, typically, employ…

等离子体物理 · 物理学 2021-04-09 William A. Angermeier , Thomas G. White

We present a novel scheme for modelling quantum plasmas in the warm dense matter (WDM) regime via a hybrid smoothed particle hydrodynamic - molecular dynamic treatment, here referred to as 'Bohm SPH'. This treatment is founded upon Bohm's…

等离子体物理 · 物理学 2025-01-15 Thomas Campbell , Pontus Svensson , Brett Larder , Daniel Plummer , Sam M. Vinko , Gianluca Gregori

Correlated many-fermion systems emerge in a broad range of phenomena in warm dense matter, plasmonics, and ultracold atoms. Quantum hydrodynamics (QHD) complements common first-principles methods for many-fermion systems and enables…

等离子体物理 · 物理学 2022-02-17 Zh. A. Moldabekov , T. Dornheim , G. Gregori , F. Graziani , M. Bonitz , A. Cangi

By partitioning the electron density into subsystem contributions, the Frozen Density Embedding (FDE) formulation of subsystem DFT has recently emerged as a powerful tool for reducing the computational scaling of Kohn--Sham DFT. To date,…

材料科学 · 物理学 2015-06-22 Alessandro Genova , Davide Ceresoli , Michele Pavanello

In this work, a many body relativistic quantum field theory for the collective modes of spinor quantum electrodynamic theory (QED) plasmas is developed. We introduce the thermo field dynamics into the QED plasma study. The nontrivial…

等离子体物理 · 物理学 2020-12-18 Shan Wu , Ji-ying Zhang

We propose a way to improve energy density functionals (EDFs) in the density functional theory based on the combination of the inverse Kohn--Sham method and the density functional perturbation theory. Difference between the known EDF and…

化学物理 · 物理学 2019-11-22 Tomoya Naito , Daisuke Ohashi , Haozhao Liang

We present a plane-wave ultrasoft pseudopotential implementation of first-principle molecular dynamics, which is well suited to model large molecular systems containing transition metal centers. We describe an efficient strategy for…

材料科学 · 物理学 2007-05-23 P. Giannozzi , F. De Angelis , R. Car

We review a molecular dynamics method for nucleon many-body systems called the quantum molecular dynamics (QMD) and our studies using this method. These studies address the structure and the dynamics of nuclear matter relevant to the…

核理论 · 物理学 2014-01-31 Toshiki Maruyama , Gentaro Watanabe , Satoshi Chiba

Extended Lagrangian molecular dynamics (XLMD) is a general method for performing molecular dynamics simulations using quantum and classical many-body potentials. Recently several new XLMD schemes have been proposed and tested on several…

数值分析 · 数学 2020-02-28 Dong An , Sara Y. Cheng , Teresa Head-Gordon , Lin Lin , Jianfeng Lu

Extended Lagrangian Born-Oppenheimer molecular dynamics [Niklasson, Phys. Rev. Lett. 100 123004 (2008)] has been generalized to the propagation of the electronic wavefunctions. The technique allows highly efficient first principles…

材料科学 · 物理学 2011-10-07 Peter Steneteg , Igor A. Abrikosov , Valery Weber , Anders M. N. Niklasson

Born-Oppenheimer Molecular Dynamics (BOMD) is a powerful but expensive technique. The main bottleneck in a density functional theory bomd calculation is the solution to the Kohn-Sham (KS) equations, that requires an iterative procedure that…

化学物理 · 物理学 2021-09-23 Etienne Polack , Geneviève Dusson , Benjamin Stamm , Filippo Lipparini

First-principles simulations have played a crucial role in deepening our understanding of the thermodynamic properties of water, and machine learning potentials (MLPs) trained on these first-principles data widen the range of accessible…

化学物理 · 物理学 2026-01-01 Yifan Li , Bingjia Yang , Chunyi Zhang , Axel Gomez , Pinchen Xie , Yixiao Chen , Pablo M. Piaggi , Roberto Car