Evidence map›Paper›PMID 37188661›Full record

ArticleNature communications2023

Architector for high-throughput cross-periodic table 3D complex building.

Michael G Taylor, Daniel J Burrill, Jan Janssen, Enrique R Batista, Danny Perez, Ping Yang

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  9. Review
  10. Partial to Total Generation of 3D Transition-Metal Complexes.Journal of chemical theory and computation · 2024
    Article
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  12. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Michael G Taylor *Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.ORCID http://orcid.org/0000-0003-4327-2746
Daniel J Burrill *Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Jan JanssenTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Enrique R BatistaTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. erb@lanl.gov.ORCID http://orcid.org/0000-0002-3074-4022
Danny PerezTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. danny_perez@lanl.gov.ORCID http://orcid.org/0000-0003-3028-5249
Ping YangTheoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. pyang@lanl.gov.ORCID http://orcid.org/0000-0003-4726-2860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rare-earth and actinide complexes are critical for a wealth of clean-energy applications. Three-dimensional (3D) structural generation and prediction for these organometallic systems remains a challenge, limiting opportunities for computational chemical discovery. Here, we introduce Architector, a high-throughput in-silico synthesis code for s-, p-, d-, and f-block mononuclear organometallic complexes capable of capturing nearly the full diversity of the known experimental chemical space. Beyond known chemical space, Architector performs in-silico design of new complexes including any chemically accessible metal-ligand combinations. Architector leverages metal-center symmetry, interatomic force fields, and tight binding methods to build many possible 3D conformers from minimal 2D inputs including metal oxidation and spin state. Over a set of more than 6,000 x-ray diffraction (XRD)-determined complexes spanning the periodic table, we demonstrate quantitative agreement between Architector-predicted and experimentally observed structures. Further, we demonstrate out-of-the box conformer generation and energetic rankings of non-minimum energy conformers produced from Architector, which are critical for exploring potential energy surfaces and training force fields. Overall, Architector represents a transformative step towards cross-periodic table computational design of metal complex chemistry.

Identifiers

PMID37188661
PMCPMC10185541

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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.