Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,114

The DOI matches its Crossref record; 244 of the 244 references it cites were found in a registry or an index.

OpenMolcas: From Source Code to Insight

Open access
Fdez. Galván, Ignacio, Vacher, Morgane, Alavi, Ali, Angeli, Celestino, Aquilante, Francesco, Autschbach, Jochen, Bao, Jie J., Bokarev, Sergey I., Bogdanov, Nikolay A., Carlson, Rebecca K., Chibotaru, Liviu F., Creutzberg, Joel, Dattani, Nike, Delcey, Mickaël G., Dong, Sijia S., Dreuw, Andreas, Freitag, Leon, Frutos, Luis Manuel, Gagliardi, Laura, Gendron, Frédéric, Giussani, Angelo, González, Leticia, Grell, Gilbert, Guo, Meiyuan, Hoyer, Chad E., Johansson, Marcus, Keller, Sebastian, Knecht, Stefan, Kovačević, Goran, Källman, Erik, Li Manni, Giovanni, Lundberg, Marcus, Ma, Yingjin, Mai, Sebastian, Malhado, João Pedro, Malmqvist, Per Åke, Marquetand, Philipp, Mewes, Stefanie A., Norell, Jesper, Olivucci, Massimo, Oppel, Markus, Phung, Quan Manh, Pierloot, Kristine, Plasser, Felix, Reiher, Markus, Sand, Andrew M., Schapiro, Igor, Sharma, Prachi, Stein, Christopher J., Sørensen, Lasse Kragh, Truhlar, Donald G., Ugandi, Mihkel, Ungur, Liviu, Valentini, Alessio, Vancoillie, Steven, Veryazov, Valera, Weser, Oskar, Wesołowski, Tomasz A., Widmark, Per-Olof, Wouters, Sebastian, Zech, Alexander, Zobel, J. Patrick, Lindh, Roland·2019·Journal of Chemical Theory and Computation

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/acs.jctc.9b00532

Cites

244 of 244 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 244 references

Cited by

See all 1,114

Metadata

Authors
Fdez. Galván, I., Vacher, M., Alavi, A., Angeli, C., Aquilante, F., Autschbach, J., Bao, J. J., Bokarev, S. I., Bogdanov, N. A., Carlson, R. K., Chibotaru, L. F., Creutzberg, J., Dattani, N., Delcey, M. G., Dong, S. S., Dreuw, A., Freitag, L., Frutos, L. M., Gagliardi, L., Gendron, F., Giussani, A., González, L., Grell, G., Guo, M., Hoyer, C. E., Johansson, M., Keller, S., Knecht, S., Kovačević, G., Källman, E., Li Manni, G., Lundberg, M., Ma, Y., Mai, S., Malhado, J. P., Malmqvist, P. Å., Marquetand, P., Mewes, S. A., Norell, J., Olivucci, M., Oppel, M., Phung, Q. M., Pierloot, K., Plasser, F., Reiher, M., Sand, A. M., Schapiro, I., Sharma, P., Stein, C. J., Sørensen, L. K., Truhlar, D. G., Ugandi, M., Ungur, L., Valentini, A., Vancoillie, S., Veryazov, V., Weser, O., Wesołowski, T. A., Widmark, P.-O., Wouters, S., Zech, A., Zobel, J. P., & Lindh, R.
Venue
Journal of Chemical Theory and Computation
Published
2019-09-11
Volume
15
Issue
11
Pages
5925-5964
ISSN
  • 1549-9618 (ISSN-L)
  • 1549-9626
OpenAlex
W2972738436
Cited by
1,114
References
244
FWCI
53.89
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: OpenMolcas: From Source Code to Insight. https://app.cochat.ai/papers/10.1021/acs.jctc.9b00532
The paper
Fdez. Galván, I., Vacher, M., Alavi, A., Angeli, C., Aquilante, F., Autschbach, J., Bao, J. J., Bokarev, S. I., Bogdanov, N. A., Carlson, R. K., Chibotaru, L. F., Creutzberg, J., Dattani, N., Delcey, M. G., Dong, S. S., Dreuw, A., Freitag, L., Frutos, L. M., Gagliardi, L., . . . Lindh, R. (2019). OpenMolcas: From Source Code to Insight. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.9b00532

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.