Evidence map›Paper›PMID 42751223›Full record

ArticlePolymer chemistry2025

Self-driving laboratory platform for many-objective self-optimisation of polymer nanoparticle synthesis with cloud-integrated machine learning and orthogonal online analytics.

Stephen T Knox, Kai E Wu, Nazrul Islam, Roisin O'Connell, Peter M Pittaway, Kudakwashe E Chingono, John Oyekan, George Panoutsos, Thomas W Chamberlain, Richard A Bourne and 1 more

Abstract read
In one paragraph

Article in Polymer chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
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

11 authors.

Stephen T KnoxSchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.ORCID https://orcid.org/0000-0001-5276-0085
Kai E WuSchool of Electrical and Electronic Engineering, Sir Frederick Mappin Building, The University of Sheffield Mappin Street Sheffield S1 4DT UK.ORCID https://orcid.org/0000-0003-0269-5523
Nazrul IslamDepartment of Computer Science, University of York Deramore Lane York YO10 5GH UK.
Roisin O'ConnellSchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.
Peter M PittawaySchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.
Kudakwashe E ChingonoSchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.
John OyekanDepartment of Computer Science, University of York Deramore Lane York YO10 5GH UK.
George PanoutsosSchool of Electrical and Electronic Engineering, Sir Frederick Mappin Building, The University of Sheffield Mappin Street Sheffield S1 4DT UK.ORCID https://orcid.org/0000-0002-7395-8418
Thomas W ChamberlainSchool of Chemistry, University of Leeds Woodhouse Lane Leeds West Yorkshire UK.ORCID https://orcid.org/0000-0001-8100-6452
Richard A BourneSchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.ORCID https://orcid.org/0000-0001-7107-6297
Nicholas J WarrenSchool of Chemical and Process Engineering, University of Leeds Woodhouse Lane Leeds West Yorkshire UK nicholas.warren@sheffield.ac.uk.ORCID https://orcid.org/0000-0002-8298-1417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The application of artificial intelligence and machine learning is revolutionising the chemical industry, with the ability to automate and self-optimise reactions facilitating a step change in capability. Unlike small-molecules, polymer nanoparticles require navigation of a more complex parameter space to access the desired performance. In addition to the chemical reaction, it is desirable to optimise the polymer molecular weight distribution, particle size and polydispersity index. To solve this

Identifiers

PMID42751223
PMCPMC13580201

What OpenQuestion holds

Textmetadata
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.