Evidence map›Paper›PMID 38597718›Full record

ArticlePhysical chemistry chemical physics : PCCP2024

Deep Mind 21 functional does not extrapolate to transition metal chemistry.

Heng Zhao, Tim Gould, Stefan Vuckovic

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Heng ZhaoDepartment of Chemistry, University of Fribourg, Fribourg, Switzerland. stefan.vuckovic@unifr.ch.ORCID http://orcid.org/0009-0001-6162-9203
Tim GouldQueensland Micro- and Nanotechnology Centre, Griffith University, Nathan, Qld 4111, Australia.ORCID http://orcid.org/0000-0002-7191-9124
Stefan VuckovicDepartment of Chemistry, University of Fribourg, Fribourg, Switzerland. stefan.vuckovic@unifr.ch.ORCID http://orcid.org/0000-0002-0768-9176

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of density functional approximations stands at a crossroads: while machine-learned functionals show potential to surpass their human-designed counterparts, their extrapolation to unseen chemistry lags behind. Here we assess how well the recent Deep Mind 21 (DM21) machine-learned functional [

Identifiers

PMID38597718
PMCPMC11041869

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.