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README.md |
QUEST Website
This repository contains the QUEST database, and a web application to plot statistical indicators. The web app is built using the hugo static website generator with the beautifulhugo theme.
All the data are stored in the static/data directory.
Requirements
Quick start
To clone this website and use it locally, run the following commands.
git clone --recurse-submodules https://github.com/LCPQ/QUESTDB_website/
cd QUESTDB_website
make serve
Now you can use your browser to navigate to the website using the URL given by Hugo in your terminal (http://localhost:1313/QUESTDB_website/)
The QUEST database
The QUEST website has been designed to gather and analyze the highly-accurate vertical excitation energies produced by the QUEST project. The QUEST database contains more than 470 accurate vertical excitation energies of various natures (\pi \to \pi^{*}, n \to \pi^{*}, double excitation, Rydberg, singlet, doublet, triplet, etc) for small- and medium-sized molecules. These values have been obtained using a combination of high-order coupled cluster and selected configuration interaction calculations using increasingly large diffuse basis sets. One of the key aspect of the QUEST dataset is that it does not rely on any experimental values, avoiding potential biases inherently linked to experiments and facilitating in the process theoretical cross comparisons. Following this composite protocol, we have been able to produce theoretical best estimates (TBEs) with the aug-cc-pVTZ basis set, as well as basis set corrected TBEs (i.e., near the complete basis set limit) for each of these transitions. Thanks to the present website, one can easily test and compare the accuracy of a given method with respect to various variables such as the molecule size or its family, the nature of the excited states, the size of the basis set, etc.
Bug reports
Please report problems/bugs on the GitHub issue tracker.
Licenses
This QUESTDB database is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
The web application is made available under the BSD 3-clause license.
This project has
received funding from the European
Research Council (ERC) under the European Union’s Horizon 2020
research and innovation programme (Grant agreement No. 863481).