The ORCA program system
By Frank Neese. 2012
11,914 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Spectroscopy, Computational Chemistry & Drug Discovery, AI for Physical Sciences
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atomic and Molecular Physics, and Optics
- Michael Gastegger
- Kristof T. Schütt
- Olexandr Isayev
- Justin S. Smith
- Kipton Barros
- Adrian E. Roitberg
- Christian Devereux
- Roman I. Zubatyuk
In Spectroscopy
- Justin S. Smith
- Kipton Barros
- Michael Gastegger
- Adrian E. Roitberg
- Christian Devereux
- Roman I. Zubatyuk
- Olexandr Isayev
- A. Zabala‐Lekuona
In Computational Chemistry & Drug Discovery
- Michael Gastegger
- Kristof T. Schütt
- Klaus‐Robert Müller
- Olexandr Isayev
- Kipton Barros
- Justin S. Smith
- Adrian E. Roitberg
- Christian Devereux
In AI for Physical Sciences
- Michael Gastegger
- Klaus‐Robert Müller
- Olexandr Isayev
- Kipton Barros
- Justin S. Smith
- Adrian E. Roitberg
- Christian Devereux
- Roman I. Zubatyuk
Citations in the corpus
- Software update: the ORCA program system, version 4.0 (2018, methodology): “This short software update will provide an overview over the functionality added to ORCA since the publication of the original 2012 WIRES article.(1) Extensive further information, example inputs and outputs as well as theoretical background can be found in the 800 page manual that comes with the di”
- Single-Molecule Magnets: From Mn12-ac to dysprosium metallocenes, a travel in time (2021, methodology): “The work of some specific authors in this field is remarkable as they were pioneers setting the basis of the extensively used softwares ORCA [112] and MOLCAS [113].”
- Outsmarting Quantum Chemistry Through Transfer Learning (2018, methodology): “Our CCSD(T)*/CBS method is a computationally efficient approximation of CCSD(T)/CBS energies that takes advantage of the linear-scaling domain-localized DPLNO-CCSD(T) method developed by Neese et al 55 which is implemented in the ORCA software package 56 .”