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The ORCA quantum chemistry program package
Open accessAbstract
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.
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Cited by
Software update: The ORCA program system—Version 5.0
Neese, F. (2022) · WIREs Computational Molecular Science · doi:10.1002/wcms.1606 · Cited by 4,963
Self-citationCREST—A program for the exploration of low-energy molecular chemical space
Pracht, P., Grimme, S., Bannwarth, C., Bohle, F., Ehlert, S., Feldmann, G., Gorges, J., Müller, M., Neudecker, T., Plett, C., et al. (2024) · The Journal of Chemical Physics · doi:10.1063/5.0197592 · Cited by 574
Xu, J., Wang, X., Zhang, X., Zhang, Y., Yang, Z., Li, S., Tao, L., Wang, Q., & Wang, T. (2023) · Chemical Engineering Journal · doi:10.1016/j.cej.2022.138673 · Cited by 284
Kang, M., Zhang, Z., Xu, W., Wen, H., Zhu, W., Wu, Q., Wu, H., Gong, J., Wang, Z., Wang, D., et al. (2021) · Advanced Science · doi:10.1002/advs.202100524 · Cited by 193
Zhu, L., Song, G., Zhang, W., Wu, Y., Chen, Y., Song, J., Wang, D., Li, G., Tang, B. Z., & Li, Y. (2025) · Nature Communications · doi:10.1038/s41467-025-57533-y · Cited by 63
Metadata
- Authors
- Neese, F., Wennmohs, F., Becker, U., & Riplinger, C.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2020-06-12
- Volume
- 152
- Issue
- 22
- Pages
- 224108-224108
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W3034310241
- Cited by
- 5,193
- References
- 0
- FWCI
- 186.39
- Type
- journal article
- Language
- en
- Open access
- hybrid
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