ALKEMIE Matter Studio

index:

  • Introduction
  • Application
  • Architecture
  • Installation
  • High-throughput examples
    • High-throughput 1000-level Calculation Process
    • Dynamic Monte Carlo
    • First Principles Coupled With Thermodynamics Gibbs
    • First-principles And Body Modulus Coupling
    • Curie temperature calculation
    • Construct vacancy configurations and perform first-principles static calculations
    • Construct the doping configuration of phase change materials and perform first-principles static calculations
    • Construct the grain boundary configuration of phase change materials and perform first-principles static calculations
    • Construct atom configurations of substitution types and perform first-principles static calculations
    • Construct tetrahedral and octahedral interstitial atom configurations and perform first-principles static calculations
    • Index structure and visualization in 180,000 databases through Finder
    • High-throughput Automatic Calculation Process:First-principles Relaxation Calculation
    • First-principles Band Calculation
    • First-principles Density Of States Calculation
    • First-principles HSE Calculation
    • First-principles NEB Calculation
    • Lammps Relaxation Calculation
    • Viewing the multitasking working status of the computing module
    • Delete specified task
    • Change the high-throughput task queue
    • Automatic Analysis of Energy Volume
    • Automatic Format Display Of Energy, Volume, Band Gap
    • Automatic Statistical Analysis Of Energy, Volume, Band Gap
    • Automatic Scatter Plot Distribution Of Energy, Volume, Band Gap
    • Density analysis of electrical properties of materials
    • Band Diagram Analysis of Electrical Properties of Materials
    • OpenPhase Workflow
    • Opencalphd Workflow
    • Automatically Convert Data
    • Automatic Training Model
    • Automatic Prediction Based on Model
    • Automatically Link Large-scale Molecular Dynamics ASE for Simulation
  • Details of Widgets
  • Furture
ALKEMIE Matter Studio
ALKEMIE
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Automatically Link Large-scale Molecular Dynamics ASE for Simulation¶

The neural network potential function whose training accuracy meets the requirements of first principles can realize large-scale molecular dynamics simulation through the Pmlib interface. The visual interface of this interface is shown in the figure.

images/3-100.png images/3-101.png

First, the user needs to specify the parameters used in the training process, or directly read the existing large-scale molecular dynamics parameters. To run large-scale molecular dynamics, the initial POSCAR structure must be entered. Second, specify the position of the trained potential function model corresponding to each element in the structure. Then select the MDLog file that saves the key parameters during the potential function training process. Currently, only the read parameter part has been developed, and specific parameters are yet to be developed.

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© Copyright 2021, Zefeng Li, Guanjie Wang Last updated on Wed, 24 Mar 2021 16:40:52.

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