TopoMS: Comprehensive topological exploration for molecular and condensed-matter systems
Journal Article
·
· Journal of Computational Chemistry
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Applied Scientific Computing
- Univ. of Utah, Salt Lake City, UT (United States). Scientific Computing and Imaging Institute
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Materials Science Division
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Physics Division
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Center for Applied Scientific Computing; Univ. of Utah, Salt Lake City, UT (United States). Scientific Computing and Imaging Institute
We introduce TopoMS, a computational tool enabling detailed topological analysis of molecular and condensed-matter systems, including the computation of atomic volumes and charges through the quantum theory of atoms in molecules, as well as the complete molecular graph. With roots in techniques from computational topology, and using a shared-memory parallel approach, TopoMS provides scalable, numerically robust, and topologically consistent analysis. TopoMS can be used as a command-line tool or with a GUI (graphical user interface), where the latter also enables an interactive exploration of the molecular graph. This paper presents algorithmic details of TopoMS and compares it with state-of-the-art tools: Bader charge analysis v1.0 (Arnaldsson et al., 01/11/17) and molecular graph extraction using Critic2 (Otero-de-la-Roza et al., Comput. Phys. Commun. 2014, 185, 1007). TopoMS not only combines the functionality of these individual codes but also demonstrates up to 4× performance gain on a standard laptop, faster convergence to fine-grid solution, robustness against lattice bias, and topological consistency. TopoMS is released publicly under BSD License.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1808752
- Report Number(s):
- LLNL-JRNL--740094; 888328
- Journal Information:
- Journal of Computational Chemistry, Journal Name: Journal of Computational Chemistry Journal Issue: 16 Vol. 39; ISSN 0192-8651
- Publisher:
- WileyCopyright Statement
- Country of Publication:
- United States
- Language:
- English
A Topological Data Analysis perspective on noncovalent interactions in relativistic calculations
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journal | December 2019 |
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