SHARC
Initial release2014
Stable release
2.1 / 14 October 2019 (2019-10-14).[1]
Written inFortran, Python
Operating systemLinux, any other Unix variety
TypeMolecular dynamics (simulation)
LicenseGNU GPL[2]
Websitesharc-md.org Edit this on Wikidata

SHARC (Surface Hopping including ARbitrary Couplings) is an ab initio molecular dynamics program suite primarily dedicated to study the excited-state dynamics of molecules. It is free for academic use, open source released under the GNU General Public License.[2]

History

The SHARC software suite was made publicly available in October 2014.[3] It is developed by the SHARC development team in the group of Prof. Leticia_González at the Institute of Theoretical Chemistry at the University of Vienna, Austria.

Features

The SHARC molecular dynamics software can treat non-adiabatic couplings at conical intersections, intersystem crossing induced by spin-orbit coupling, and laser couplings on an equal footing.[4] It has interfaces to the ab initio software packages MOLPRO, MOLCAS, ORCA_(quantum_chemistry_program), Gaussian_(software), TURBOMOLE, COLUMBUS (needs MOLCAS), BAGEL and to user-created LVC (linear vibronic coupling) models, to machine learning properties via the SchNarc approach,[5] as well as to a tool for analytical potentials. Furthermore, it includes auxiliary Python scripts for setup, maintenance and analysis of ensembles of trajectories.

Applications

The underlying methodology is based on Surface hopping, a semiclassical technique in computational chemistry. SHARC extends this method to treat spin-orbit couplings and laser interactions on an equal footing in addition to the originally included non-adiabatic effects.[4] It has been applied to study strong laser interactions in the IBr molecule. Further applications, deal with photorelaxation in SO2, cytosine, and uracil[6]

References

  1. ↑ "Molecular Dynamics mailing list". jiscmail.ac.uk. Retrieved 2022-12-08.
  2. 1 2 "Terms of Use". sharc-md.org. Retrieved 2022-12-08.
  3. ↑ "Molecular Dynamics mailing list". jiscmail.ac.uk. Retrieved 2014-11-23.
  4. 1 2 Richter, Martin; Marquetand, Philipp; González-Vázquez, Jesús; Sola, Ignacio; González, Leticia (2011-05-10). "SHARC: ab Initio Molecular Dynamics with Surface Hopping in the Adiabatic Representation Including Arbitrary Couplings". Journal of Chemical Theory and Computation. 7 (5): 1253–1258. doi:10.1021/ct1007394. ISSN 1549-9618. PMID 26610121.
  5. ↑ Westermayr, Julia; Gastegger, Michael; Marquetand, Philipp (2020-04-20). "Combining SchNet and SHARC: The SchNarc Machine Learning Approach for Excited-State Dynamics". Journal of Physical Chemistry Letters. 11 (10): 3828–3834. doi:10.1021/acs.jpclett.0c00527. PMC 7246974.
  6. ↑ "Publications containing SHARC". Retrieved 2014-11-23.
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