OpenMolcas_v2.pdf (23.73 MB)
OpenMolcas: From source code to insight
journal contribution
posted on 2019-09-20, 10:32 authored by Ignacio Fernández Galván, Morgane Vacher, Ali Alavi, Celestino Angeli, Francesco Aquilante, Jochen Autschbach, Jie J Bao, Sergey I Bokarev, Nikolay A Bogdanov, Rebecca K Carlson, Liviu F Chibotaru, Joel Creutzberg, Nike Dattani, Mickaël G Delcey, Sijia S Dong, Andreas Dreuw, Leon Freitag, Luis Manuel Frutos, Laura Gagliardi, Frédéric Gendron, Angelo Giussani, Leticia Gonzalez, Gilbert Grell, Meiyuan Guo, Chad E Hoyer, Marcus Johansson, Sebastian Keller, Stefan Knecht, Goran Kovačević, Erik Källman, Giovanni Li Manni, Marcus Lundberg, Yingjin Ma, Sebastian Mai, João Pedro Malhado, Per Ake Malmqvist, Philipp Marquetand, Stefanie A Mewes, Jesper Norell, Massimo Olivucci, Markus Oppel, Quan Manh Phung, Kristin Pierloot, Felix PlasserFelix Plasser, Markus Reiher, Andrew M Sand, Igor Schapiro, Prachi Sharma, Christopher J Stein, Lasse Kragh Sørensen, Donald G Truhlar, Mihkel Ugandi, Liviu Ungur, Alessio Valentini, Steven Vancoillie, Valera Veryazov, Oskar Weser, Tomasz A Wesolowski, Per-Olof Widmark, Sebastian Wouters, Alexander Zech, J Patrick Zobel, Roland LindhIn 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 post calculation analysis and visualization, a multiscale simulation option
using frozen-density embedding theory and new electronic and muonic basis sets.
History
School
- Science
Department
- Chemistry
Published in
Journal of Chemical Theory and ComputationVolume
15Issue
11Pages
5925 - 5964Publisher
American Chemical Society (ACS)Version
- AM (Accepted Manuscript)
Rights holder
© American Chemical Society (ACS)Publisher statement
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Chemical Theory and Computation, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jctc.9b00532Publication date
2019-09-11Copyright date
2019ISSN
1549-9618eISSN
1549-9626Publisher version
Language
- en