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. 2019 Nov 12;15(11):5925-5964.
doi: 10.1021/acs.jctc.9b00532. Epub 2019 Oct 1.

OpenMolcas: From Source Code to Insight

Ignacio Fdez Galván  1   2 Morgane Vacher  1 Ali Alavi  3 Celestino Angeli  4 Francesco Aquilante  5 Jochen Autschbach  6 Jie J Bao  7 Sergey I Bokarev  8 Nikolay A Bogdanov  3 Rebecca K Carlson  7 Liviu F Chibotaru  9 Joel Creutzberg  10   11 Nike Dattani  12 Mickaël G Delcey  1 Sijia S Dong  7 Andreas Dreuw  13 Leon Freitag  14 Luis Manuel Frutos  15 Laura Gagliardi  7 Frédéric Gendron  6 Angelo Giussani  16   17 Leticia González  18 Gilbert Grell  8 Meiyuan Guo  1 Chad E Hoyer  7 Marcus Johansson  11 Sebastian Keller  14 Stefan Knecht  14 Goran Kovačević  19 Erik Källman  1 Giovanni Li Manni  3 Marcus Lundberg  1 Yingjin Ma  14 Sebastian Mai  18 João Pedro Malhado  20 Per Åke Malmqvist  11 Philipp Marquetand  18 Stefanie A Mewes  13   21 Jesper Norell  10 Massimo Olivucci  22   23   24 Markus Oppel  18 Quan Manh Phung  25 Kristine Pierloot  25 Felix Plasser  26 Markus Reiher  14 Andrew M Sand  7 Igor Schapiro  27 Prachi Sharma  7 Christopher J Stein  14 Lasse Kragh Sørensen  1 Donald G Truhlar  7 Mihkel Ugandi  1 Liviu Ungur  28 Alessio Valentini  29 Steven Vancoillie  11 Valera Veryazov  11 Oskar Weser  3 Tomasz A Wesołowski  5 Per-Olof Widmark  11 Sebastian Wouters  30 Alexander Zech  5 J Patrick Zobel  11 Roland Lindh  2   31
Affiliations
Free article

OpenMolcas: From Source Code to Insight

Ignacio Fdez Galván et al. J Chem Theory Comput. .
Free article

Abstract

In this Article we describe the OpenMolcas environment and invite the computational chemistry community to collaborate. The open-source project already includes a large number of new developments realized during the transition from the commercial MOLCAS product to the open-source platform. The paper initially describes the technical details of the new software development platform. This is followed by brief presentations of many new methods, implementations, and features of the OpenMolcas program suite. These developments include novel wave function methods such as stochastic complete active space self-consistent field, density matrix renormalization group (DMRG) methods, and hybrid multiconfigurational wave function and density functional theory models. Some of these implementations include an array of additional options and functionalities. The paper proceeds and describes developments related to explorations of potential energy surfaces. Here we present methods for the optimization of conical intersections, the simulation of adiabatic and nonadiabatic molecular dynamics, and interfaces to tools for semiclassical and quantum mechanical nuclear dynamics. Furthermore, the Article describes features unique to simulations of spectroscopic and magnetic phenomena such as the exact semiclassical description of the interaction between light and matter, various X-ray processes, magnetic circular dichroism, and properties. Finally, the paper describes a number of built-in and add-on features to support the OpenMolcas platform with postcalculation analysis and visualization, a multiscale simulation option using frozen-density embedding theory, and new electronic and muonic basis sets.

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