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Record W4416051271 · doi:10.48550/arxiv.2508.15559

The CP2K Program Package Made Simple

2025· preprint· en· W4416051271 on OpenAlexfundno aff
Marcella Iannuzzi, Jan Wilhelm, F. Max Stein, Augustin Bussy, Hossam Elgabarty, Dorothea Golze, Anna-Sophia Hehn, Maximilian Graml, Štěpán Marek, Beliz Sertcan Gökmen, Christoph Schran, Harald Forbert, Rustam Z. Khaliullin, Mathieu Taillefumier, Rocco Meli, В. В. Рыбкин, Martin Brehm, Robert R. Schade, Ole Schütt, Johann Valentin Pototschnig, Hossein Mirhosseini, Andreas Knüpfer, Dominik Marx, Matthias Krack, Jürg Hutter, Thomas D. Kühne

Bibliographic record

VenueArXiv.org · 2025
Typepreprint
Languageen
FieldChemistry
TopicAdvanced Physical and Chemical Molecular Interactions
Canadian institutionsnot available
FundersBundesministerium für Bildung und ForschungSächsische AufbaubankDeutsche ForschungsgemeinschaftAlliance de recherche numérique du CanadaNatural Sciences and Engineering Research Council of CanadaEuropean Commission
KeywordsFocus (optics)Simple (philosophy)Code (set theory)SoftwareSoftware packageRange (aeronautics)Phase (matter)State (computer science)

Abstract

fetched live from OpenAlex

CP2K is a versatile open-source software package for simulations across a wide range of atomistic systems, from isolated molecules in the gas phase to low-dimensional functional materials and interfaces, as well as highly symmetric crystalline solids, disordered amorphous glasses, and weakly interacting soft-matter systems in the liquid state and in solution. This review highlights CP2K's capabilities for computing both static and dynamical properties using quantum-mechanical and classical simulation methods. In contrast to the accompanying theory and code paper [J. Chem. Phys. 152, 194103 (2020)], the focus here is on the practical usage and applications of CP2K, with underlying theoretical concepts introduced only as needed.

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)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.089
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0040.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0890.036

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 head0.022
GPT teacher head0.315
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreSoftware

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

Citations1
Published2025
Admission routes1
Has abstractyes

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Same venueArXiv.orgSame topicAdvanced Physical and Chemical Molecular InteractionsFrench-language works237,207