LLNL/mgmol

Name: mgmol

Owner: Lawrence Livermore National Laboratory

Description: MGmol is a scalable O(N) First-Principles Molecular Dynamics code that is capable of performing large-scale electronics structure calculations and molecular dynamics simulations of atomistic systems.

Created: 2017-12-16 00:52:13.0

Updated: 2017-12-16 00:52:13.0

Pushed: 2017-12-16 00:52:14.0

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README

MGmol v1.0

Real-space (Finite Difference) First-Principles Molecular Dynamics code

Authors
References

J.-L. Fattebert, D. Osei-Kuffuor, E.W. Draeger, T. Ogitsu, W.D. Krauss, “Modeling Dilute Solutions Using First-Principles Molecular Dynamics: Computing more than a Million Atoms with over a Million Cores”, SC16: International Conference for High Performance Computing, Networking, Storage and Analysis, Salt Lake City, Utah, November 2016, p. 12-22 (Gordon Bell prize finalist)

D. Osei-Kuffuor, J.-L. Fattebert, “A Scalable O(N) Algorithm for Large-Scale Parallel First-Principles Molecular Dynamics Simulations”, SIAM J. Scientific Computing 36(4) (2014)

Osei-Kuffuor, D. and J.-L. Fattebert, “Accurate and Scalable O(N) Algorithm for First-Principles Molecular-Dynamics Computations on Large Parallel Computers”, Phys. Rev. Lett. 112, 046401 (2014)

Fattebert, J.-L., “Accelerated Block Preconditioned Gradient method for large scale wave functions calculations in Density Functional Theory”, J. Comp. Phys. 229 (2) p. 441-452 (2010)

Fattebert, J.-L., and F. Gygi, “Linear scaling first-principles molecular dynamics with plane-waves accuracy”, Phys. Rev. B, 73, (2006), 115124

Fattebert, J.-L., and F. Gygi, “Linear scaling first-principles molecular dynamics with controlled accuracy”, Comput. Phys. Comm., 162, (2004), pp. 24-36.

Release

Copyright (c) 2017, Lawrence Livermore National Security, LLC.

Produced at the Lawrence Livermore National Laboratory.

All rights reserved.

For release details and restrictions, please read the LICENSE file. It is also linked here:

LLNL-CODE-743438 OCEC-17-203


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.