Evidence map›Paper›PMID 40796555›Full record

ArticleNature communications2025

High-throughput micro-scale bandgap mapping for perovskite-inspired materials with complex composition space.

Fang Sheng, Kangyu Ji, Linjie Dai, Alexander E Siemenn, Eunice Aissi, Hamide Kavak, Basita Das, Tianran Liu, Shijing Sun, Tonio Buonassisi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Fang ShengDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. shengf1227@gmail.com.ORCID http://orcid.org/0009-0000-6891-2741
Kangyu JiDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA. axvcb1597382@gmail.com.ORCID http://orcid.org/0000-0002-1278-3212
Linjie DaiDepartment of Chemistry, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-1467-3041
Alexander E SiemennDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-8841-7887
Eunice AissiDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0003-4701-5202
Hamide KavakDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Basita DasDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Tianran LiuDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Shijing SunDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-6179-1390
Tonio BuonassisiDepartment of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To realize the full promise of high-throughput experimental workflows, the rate of sample synthesis must be matched by that of characterization. Of growing interest are contactless optical techniques that can rapidly measure material homogeneity and properties. Here, we present a hyperspectral imaging method to measure local optical bandgap distributions within samples, utilizing spatially-resolved reflectance spectra coupled with automated data analysis. We collect approximately one million optical bandgap data across the compositional space of Cs

Identifiers

PMID40796555
PMCPMC12343849

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.