Evidence map›Paper›PMID 41137652›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

X-ray and γ-ray Sensing from Aqueous-Based Lead Sulfide Telluride Nanocomposites.

Vinh-Dien Le, Drew A Vecchio, Ayse D Uyulur, Ill-Hyuk Han, Andrei M Ursu, Geehyun Kim, Mark D Hammig

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

7 authors.

Vinh-Dien LeDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0009-0005-0427-3879
Drew A VecchioDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0002-2381-9356
Ayse D UyulurDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Ill-Hyuk HanDepartment of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-1478-569X
Andrei M UrsuDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Geehyun KimNuclear Engineering, Seoul National University, Seoul, 08826, South Korea.ORCID https://orcid.org/0000-0003-4302-2659
Mark D HammigDepartment of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-1661-9185

Funding

Defense Sciences Office, DARPA W912CG23C0001Defense Threat Reduction Agency HDTRA1-20-2-0002Jet Propulsion Laboratory 80NSSC21C0513Jet Propulsion Laboratory 80NSSC23PB328Ministry of Science and ICT, South Korea 2022M2D2A1A0206382621
6 · The paper itself

Abstract

Lead chalcogenides (PbS, PbSe, and PbTe) are exceptional semiconductors for a variety of applications that exploit their unique combination of heavy atomic mass and high charge mobility. For sensors of energetic quanta such as X-rays and γ-rays, the de-coupling of electronic and phononic modes can deliver high intrinsic energy resolution at room temperature. Thus far, the lack of a simple, effective fabrication procedure for making large-volume percolating networks has prevented the exploitation of these materials. Here, a synthesis strategy is reported that utilizes aqueous colloids of PbS

Indexed as

lead sulfide telluridenanosynthesisnuclear radiation sensorsradiation shieldingX‐ray and γ‐ray detection

Identifiers

PMID41137652
PMCPMC12696808

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.