Git Product home page Git Product logo

teomotun / lammps-water-methanol-simulation Goto Github PK

View Code? Open in Web Editor NEW
8.0 2.0 1.0 2.51 MB

Molecular Dynamics Simulation of Water-Methanol Mixture to determine physical properties like self-diffusion coefficient, density and shear viscosity for a system consisting of 216 molecules of water and 216 molecules of methanol

Python 100.00%
molecular-dynamics simulation viscosity lammps avogadro hpc-clusters bash-script

lammps-water-methanol-simulation's Introduction

Water-Methanol-Simulation

Picture1.png

BACKGROUND

Water-Alcohol mixtures are widely used in chemical engineering applications such as solvents for gums, resins, lacquers, varnishes and dyes. Modeling and quality control of industrial manufacturing processes require proper characterization of viscosity. Molecular Dynamics helps in observing how atoms move in space and time. We can determine properties of unknown and known chemicals under extreme conditions of temperature or pressure. MD Simulation is a way of determining trajectories of atoms and molecules by numerically solving Newton’s equation of motion for a system of interacting particles where forces between the particles and their potential energies are often calculated using interatomic potentials or molecular mechanics force fields.

PROJECT DETAILS

  • Calculated self-diffusion coefficient, density and shear viscosity for a system consisting of 216 molecules of water and 216 molecules of methanol. A box of size 46 × 23 × 23 Å was used and the input file was generated with Avogadro.
  • Simulation was performed using OPLS-UA force field for 200 ps using SPC/E model for water.
  • The calculation was performed at different temperatures - 273, 283, 288, 293 k - under atmospheric pressure using isothermal-isobaric ensemble (NPT).

Picture2.png

FUTURE WORK

  • Study how the mixture interacts under confinement and in porous media
  • Simulate water+emulsions

lammps-water-methanol-simulation's People

Contributors

teomotun avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar

Forkers

liuwuduo

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.