Evidence map›Paper›PMID 42336776›Full record

ArticleJournal of chemical theory and computation2026

Accelerating Prediction of Complex Molecular Crystals by Sensible Selection of Asymmetric Units.

Jordan A Dorrell, Graeme M Day

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Jordan A DorrellSchool of Chemistry and Chemical Engineering, University of Southampton, Southampton, SO17 1BJ, United Kingdom.ORCID 0000-0003-0043-0222
Graeme M DaySchool of Chemistry and Chemical Engineering, University of Southampton, Southampton, SO17 1BJ, United Kingdom.ORCID 0000-0001-8396-2771

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective crystal structure prediction (CSP) relies on thorough exploration of potential energy surfaces. For this reason, molecular CSP has historically focused on simple crystals with a single molecule in the asymmetric unit. Increasing the number of molecules in the asymmetric unit increases the degrees of freedom of the crystal structure and the burden on the crystal structure predictor. We mitigate this burden by modifying quasi-random structure searching (QRSS) with "sensible asymmetric units for crystal exploration" (SAUCE). Compared to traditional QRSS implementations, the crystal structures generated by SAUCE are denser, and in a more energetically favorable environment, leading to faster geometry optimizations and more frequent recovery of the low energy minima discovered by traditional QRSS. This will allow for structure predictors to approach more complex molecular materials and to reduce the computational cost of molecular CSP.

Identifiers

PMID42336776
PMCPMC13374018

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Registered trials

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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.