F

Frank Neese

Max Planck Society

ORCID: 0000-0003-4691-0547

Publishes on Magnetism in coordination complexes, Advanced Chemical Physics Studies, Metal-Catalyzed Oxygenation Mechanisms. 984 papers and 109.8k citations.

984Publications
109.8kTotal Citations

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Top publicationsby citations

The ORCA program system
Frank Neese|Wiley Interdisciplinary Reviews Computational Molecular Science|2011
Cited by 12.9k

Abstract ORCA is a general‐purpose quantum chemistry program package that features virtually all modern electronic structure methods (density functional theory, many‐body perturbation and coupled cluster theories, and multireference and semiempirical methods). It is designed with the aim of generality, extendibility, efficiency, and user friendliness. Its main field of application is larger molecules, transition metal complexes, and their spectroscopic properties. ORCA uses standard Gaussian basis functions and is fully parallelized. The article provides an overview of its current possibilities and documents its efficiency. © 2011 John Wiley & Sons, Ltd. This article is categorized under: Software > Quantum Chemistry

Software update: the ORCA program system, version 4.0
Frank Neese|Wiley Interdisciplinary Reviews Computational Molecular Science|2017
Cited by 5.8k

This short update provides an overview of the capabilities that have been added to the ORCA electronic structure package (version 4.0) since publication of the first article in 2012. WIREs Comput Mol Sci 2018, 8:e1327. doi: 10.1002/wcms.1327 This article is categorized under: Electronic Structure Theory > Ab Initio Electronic Structure Methods Electronic Structure Theory > Density Functional Theory Software > Quantum Chemistry

The ORCA quantum chemistry program package
Frank Neese, Frank Wennmohs, Ute Becker et al.|The Journal of Chemical Physics|2020
Cited by 4.9kOpen Access

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.

Software update: The <scp>ORCA</scp> program system—Version 5.0
Frank Neese|Wiley Interdisciplinary Reviews Computational Molecular Science|2022
Cited by 4.5kOpen Access

Abstract Version 5.0 of the ORCA quantum chemistry program suite was released in July 2021. ORCA 5.0 represents a major improvement over all previous versions of ORCA and features (1) highly improved performance, (2) increased numerical robustness, (3) a host of new functionality, and (4) greatly improved user friendliness. The article describes the most salient features of the program. This article is categorized under: Electronic Structure Theory &gt; Ab Initio Electronic Structure Methods Data Science &gt; Computer Algorithms and Programming Software &gt; Quantum Chemistry