GithubHelp home page GithubHelp logo

A Kinetic Monte Carlo super-Lattice code, designed to simulate with atomic resolution the kinetics of processes (e.g., PVD, CVD, laser annealing) involving elements, alloys and compounds characterized by the sp3 bond symmetry

Installation

  • To compile MulSKIPS use the following commands:
git clone https://github.com/MulSKIPS/MulSKIPS.git
cd /your_MulSKIPS_directory/mulskips-source/ 
make 

If something goes wrong, please double check (and edit, if needed) the makefile, and ensure that your GNU Fortran compiler (gfortran or f95) is updated (tested version >= 9.4.0). A successful compilation will generate a "mulskips.e" executable file in the /your_MulSKIPS_directory/mulskips-source/ directory.

  • To run a simulation, go to your working directory, use pymulskips routines to generate a "start.dat" file with all simulation parameters, then simply call /your_MulSKIPS_directory/mulskips.e
  • To use the pymulskips routines in your python script, simply copy the directory /your_MulSKIPS_directory/pymulskips/ into your working directory. In alternative, you can add /your_MulSKIPS_directory/pymulskips/ to your PYTHONPATH environment variable.
  • The pymulskips module needs a lot of dependencies. The required versions of these dependencies may vary with the installed version of dolfin. If you installed dolfin through CONDA, please note that the following dependencies were successfully tested (install them using the following command):
pip3 install -r /your_MulSKIPS_directory/pymulskips/requirements_condadolfin.txt

If you installed dolfin through apt, please note that dolfin 2019.2.0.dev0 version has been successfully tested using the following versions for the dependencies (install them using the following command):

pip3 install -r /your_MulSKIPS_directory/pymulskips/requirements_aptdolfin.txt

Tutorials and examples

Check here for some examples of usage.

Documentation

Please find documentation here.

References

[1] A. La Magna, A. Alberti, E. Barbagiovanni, C. Bongiorno, M. Cascio, I. Deretzis, F. La Via, and E. Smecca, "Simulation of the Growth Kinetics in Group IV Compound Semiconductors", physica status solidi (a) vol. 216, no. 10, p. 1800597, 2019, doi: 10.1002/pssa.201800597

[2] G. Fisicaro, C. Bongiorno, I. Deretzis, F. Giannazzo, F. La Via, F. Roccaforte, M. Zielinski, M. Zimbone, A. La Magna, "Genesis and Evolution of Extended Defects: The Role of Evolving Interface Instabilities in Cubic SiC", Applied Physics Reviews vol. 7, no. 2, p. 021402, Apr. 2020, doi: 10.1063/1.5132300

[3] https://hq.imm.cnr.it/content/super-lattice-kinetic-monte-carlo-method-simulate-cvd-epitaxy-si-based-materials

[4] G. Calogero, D. Raciti, P. Acosta-Alba, F. Cristiano, I. Deretzis, G. Fisicaro, K. Huet, S. Kerdilès, A. Sciuto and A. La Magna, "Multiscale modeling of ultrafast melting phenomena", npj Computational Materials 8, 36 (2022), doi: 10.1038/s41524-022-00720-y

[5] G. Calogero, D. Raciti, D. Ricciarelli, P. Acosta-Alba, F. Cristiano, R. Daubriac, R. Demoulin, I. Deretzis, G. Fisicaro, J.-M. Hartmann, S. Kerdilés, A. La Magna, "Atomistic insights into ultrafast SiGe nanoprocessing" (submitted)

mulskips's Projects

mulskips icon mulskips

A Kinetic Monte Carlo super-Lattice code designed to simulate with atomic resolution the kinetics of processes (e.g., PVD, CVD, laser annealing) involving elements, alloys and compounds characterized by the sp3 bond symmetry.

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.