Evidence map›Paper›PMID 41074790›Full record

ArticleACS applied materials & interfaces2025

Automated Digital Discovery and Synthesis of CuO-Based Nanoparticle Heterostructures for Catalysis.

Daniel Hervitz, Yibin Jiang, Daniel Salley, Mark McNulty, Philip J Kitson, Leroy Cronin

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Daniel HervitzSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.
Yibin JiangSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.ORCID 0000-0002-9766-5679
Daniel SalleySchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.
Mark McNultySchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.
Philip J KitsonSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.
Leroy CroninSchool of Chemistry, The University of Glasgow, University Avenue, Glasgow G12 8qq, U.K.ORCID 0000-0001-8035-5757

Funding

Discovery & Synthesis Chemputer: An intelligent universal system for automated chemical synthesis and discovery across different hardware and scalesUG3TR004136 · NCATS · UNIVERSITY OF GLASGOW · PI CRONIN, LEE · 2022 to 2023
$1.6M
NCATS NIH HHS UG3 TR004136
6 · The paper itself

Abstract

The discovery and synthesis of composite nanomaterials often rely on molecular self-assembly and crystallization, posing significant challenges due to the vast chemical space and the irreproducibility of experimental methods. We present a programmable robotic platform, controlled by the universal Chemical Description Language (χDL), that enables the solid-phase synthesis of composite nanomaterials. In addition to synthesis, the platform validates its catalytic performance through an automated workflow. This platform enables open-ended exploration of composition-morphology-activity relationships, with high accuracy and reproducibility, while also reducing synthesis time and cost. In this study, we are moving beyond the colloidal, plasmonic-focused systems previously explored in robotic platforms to the discovery, synthesis, and catalytic properties of CuO-based nanomaterials, such as CuO-Au and CuO-Ag

Indexed as

automationcopper oxidedigital chemistrynanoparticle heterostructurenanoparticlesphotodegradationself-assembly

Identifiers

PMID41074790
PMCPMC12557214

What OpenQuestion holds

Textmetadata
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.