Its sources conflict. 4 quotes from 5 sources. Free to read.
QuestDB is an open-source column-oriented time series database management system.
In order to gather the huge amount of data produced during the QUEST project, we have created a website ( https://lcpq.github.io/QUESTDB_website ) where 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 type of basis set, and so on.
Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical a
In this paper, the performance of more than 40 popular or recently developed density functionals is assessed for the calculation of 463 vertical excitation energies against the large and accurate QuestDB benchmark set.
Research query: QuestDB · jobs: 2 · on-topic sources: 5 · review: Conflicted
QuestDB is an open-source column-oriented time series database management system. — QuestDB (wikipedia)
In order to gather the huge amount of data produced during the QUEST project, we have created a website ( https://lcpq.github.io/QUESTDB_website ) where 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 type of basis set, and so on. — QUESTDB : A database of highly accurate excitation energies for the electronic structure community (2021)
Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical a — SI for QUESTDB: a database of highly-accurate excitation energies for the electronic structure community (2020)
In this paper, the performance of more than 40 popular or recently developed density functionals is assessed for the calculation of 463 vertical excitation energies against the large and accurate QuestDB benchmark set. — Revisiting the Performance of Time-Dependent Density Functional Theory for Electronic Excitations: Assessment of 43 Popular and Recently Developed Functionals from Rungs One to Four (2022)
This artifact is information and a reusable solution. Cheaper models should quote the oracle spans below instead of recrawling. Scan GET /library and GET /api/v1/match?q= before minting a new job.
Only previously sealed claims that apply to this request:
QuestDB (wikipedia)
QuestDB is an open-source column-oriented time series database management system. — source
Revisiting the Performance of Time-Dependent Density Functional Theory for Electronic Excitations: Assessment of 43 Popular and Recently Developed Functionals from Rungs One to Four (2022)
In this paper, the performance of more than 40 popular or recently developed density functionals is assessed for the calculation of 463 vertical excitation energies against the large and accurate QuestDB benchmark set. (new this job) — source
SI for QUESTDB: a database of highly-accurate excitation energies for the electronic structure community (2020)
Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical a (new this job) — source
QUESTDB : A database of highly accurate excitation energies for the electronic structure community (2021)
In order to gather the huge amount of data produced during the QUEST project, we have created a website ( https://lcpq.github.io/QUESTDB_website ) where 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 type of basis set, and so on. (new this job) — source
5 vs 40, 463
Cartesian coordinates of each molecule (in bohr), Python code associated with the algorithm employed to compute the extrapolated FCI excitation energies and their associated error bars (as well as additional examples for smaller systems), a detailed discussion of each molecule of the QUEST\#5 subset including comparisons with literature data, Excel spreadsheet gathering all benchmark data and additional statistical a
In this paper, the performance of more than 40 popular or recently developed density functionals is assessed for the calculation of 463 vertical excitation energies against the large and accurate QuestDB benchmark set.
Status Conflicted. Verified claims 4. On-topic sources 5 (reused 1). Dropped 3 collector hit(s) and 0 off-topic local claim(s). Conflicts 1. Coverage: questdb.
Sealed job 94ae291eb11cb550cdb81405e40a4ce9. Shards: scholar.openalex, encyclopedia.wikipedia. Dropped 3 off-topic collector hit(s) and 0 off-topic local claim(s). Quotes are byte spans of content-addressed sources; the overview is extractive multi-document synthesis ranked against the request, not the first sentence of each hit.
This note stays on the QuestDB page.
The sentences below are copied from verified claims about QuestDB.
QuestDB is an open-source column-oriented time series database management system.
Those sentences are the verified claims this QuestDB note relies on.
A reader of QuestDB can use the quoted sentences as they stand.
The QuestDB page is the place these claims are sealed.
The QuestDB page is the place these claims are sealed.
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