The ORCA quantum chemistry program package

  • Frank Neese
    Max Planck Institut für Kohlenforschung 1 , Kaiser-Wilhelm Platz 1, D-45470 Mülheim an der Ruhr, Germany
  • Frank Wennmohs
    Max Planck Institut für Kohlenforschung 1 , Kaiser-Wilhelm Platz 1, D-45470 Mülheim an der Ruhr, Germany
  • Ute Becker
    Max Planck Institut für Kohlenforschung 1 , Kaiser-Wilhelm Platz 1, D-45470 Mülheim an der Ruhr, Germany
  • Christoph Riplinger
    FAccTs GmbH 2 , Rolandstr. 67, 50677 Köln, Germany

Description

<jats:p>In this contribution to the special software-centered issue, the ORCA program package is described. We start with a short historical perspective of how the project began and go on to discuss its current feature set. ORCA has grown into a rather comprehensive general-purpose package for theoretical research in all areas of chemistry and many neighboring disciplines such as materials sciences and biochemistry. ORCA features density functional theory, a range of wavefunction based correlation methods, semi-empirical methods, and even force-field methods. A range of solvation and embedding models is featured as well as a complete intrinsic to ORCA quantum mechanics/molecular mechanics engine. A specialty of ORCA always has been a focus on transition metals and spectroscopy as well as a focus on applicability of the implemented methods to “real-life” chemical applications involving systems with a few hundred atoms. In addition to being efficient, user friendly, and, to the largest extent possible, platform independent, ORCA features a number of methods that are either unique to ORCA or have been first implemented in the course of the ORCA development. Next to a range of spectroscopic and magnetic properties, the linear- or low-order single- and multi-reference local correlation methods based on pair natural orbitals (domain based local pair natural orbital methods) should be mentioned here. Consequently, ORCA is a widely used program in various areas of chemistry and spectroscopy with a current user base of over 22 000 registered users in academic research and in industry.</jats:p>

Journal

Citations (37)*help

See more

Details 詳細情報について

Report a problem

Back to top