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Record W4315779565 · doi:10.1039/d2ce01594c

Accurate and efficient polymorph energy ranking with XDM-corrected hybrid DFT

2023· article· en· W4315779565 on OpenAlexafffund
Alastair J. A. Price, R. Alex Mayo, Alberto Otero‐de‐la‐Roza, Erin R. Johnson

Bibliographic record

VenueCrystEngComm · 2023
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsDalhousie University
FundersAgencia Estatal de InvestigaciónMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de EspañaNatural Sciences and Engineering Research Council of CanadaMinisterio de Ciencia e InnovaciónGobierno del Principado de Asturias
KeywordsCrystal structure predictionPairingRanking (information retrieval)Dispersion (optics)Crystal (programming language)Energy (signal processing)Density functional theoryCrystal structureMaterials scienceStatistical physicsHybrid functionalComputational physicsComputational chemistryCrystallographyPhysicsMathematicsComputer scienceChemistryStatisticsCondensed matter physicsQuantum mechanicsArtificial intelligence

Abstract

fetched live from OpenAlex

Pairing the XDM dispersion model with hybrid density functionals shows significant improvements in the computed crystal energy landscapes for 4 of the 26 compounds appearing in the first six blind tests of crystal structure prediction.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.210
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2023
Admission routes2
Has abstractyes

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