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Record W4412440580 · doi:10.1021/acs.jpca.5c02171

Roadmap for Molecular Benchmarks in Nonadiabatic Dynamics

2025· review· en· W4412440580 on OpenAlexaff
Léon L. E. Cigrang, Basile F. E. Curchod, Rebecca A. Ingle, Aaron Kelly, Jonathan R. Mannouch, Davide Accomasso, Alexander Alijah, Mario Barbatti, Wiem Chebbi, Nađa Došlić, Elliot C. Eklund, Sebastian Fernández-Alberti, Antonia Freibert, Leticia González, Giovanni Granucci, Federico J. Hernández, Javier Hernández-Rodríguez, Amber Jain, Jiří Janoš, Ivan Kassal, Adam Kirrander, Zhenggang Lan, Henrik R. Larsson, David Lauvergnat, Brieuc Le Dé, Neepa T. Maitra, Seung Kyu Min, Daniel Peláez, David Picconi, Umberto Raucci, Patrick A. Robertson, Eduarda Sangiogo Gil, Marin Sapunar, Peter Schürger, Patrick Sinnott, Sergei Tretiak, Arkin Tikku, Patricia Vindel-Zandbergen, Graham A. Worth, Federica Agostini, Sandra Gómez, Lea M. Ibele, Antonio Prlj

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2025
Typereview
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsCanadian Nautical Research Society
FundersH2020 Marie Skłodowska-Curie ActionsLos Alamos National LaboratoryH2020 European Research CouncilBasic Energy SciencesOffice of Naval ResearchOffice of Naval Research GlobalCenter for Integrated NanotechnologiesAustralian Research CouncilOffice of ScienceLaboratoire d’excellence Physique Atomes Lumière MatièreHrvatska Zaklada za ZnanostNarodowe Centrum NaukiAgence Nationale de la RechercheDivision of ChemistryUniversity of NottinghamU.S. Department of EnergyEuropean CommissionGrantová Agentura České RepublikyAmerican Chemical SocietyLeverhulme TrustDeutsche ForschungsgemeinschaftEngineering and Physical Sciences Research CouncilNational Science FoundationUK Research and InnovationAmerican Chemical Society Petroleum Research FundDepartment of Education and TrainingAix-Marseille UniversitéSchool of Chemistry, University of NottinghamAlexander von Humboldt-Stiftung
KeywordsMolecular dynamicsBenchmark (surveying)Computer scienceField (mathematics)ObstaclePerspective (graphical)Task (project management)Set (abstract data type)Work (physics)Systems engineeringChemistryPhysicsArtificial intelligenceComputational chemistryEngineeringQuantum mechanicsMathematics

Abstract

fetched live from OpenAlex

, was held in May 2024 to address this issue. This Perspective highlights the key challenges identified during the workshop in defining molecular benchmarks for nonadiabatic dynamics. Specifically, this work outlines some preliminary observations on essential components needed for simulations and proposes a roadmap aiming to establish, as an ultimate goal, a community-driven, standardized molecular benchmark set.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score0.766

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.317
Teacher spread0.308 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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