Evidence map›Paper›PMID 40932115›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Molecular Nanosolids Generation by Vapor Jet Desublimation.

Chao Huang, Eva Katharine Pontrelli, Jae Wan Lee, Binyu Wang, Ganlin Chen, Tatiane Cogo Machado, Hemanth Maddali, Benjamin De Chazal, Anish Tuteja, Ronald G Larson and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 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. Molecular Nanosolids Generation by Vapor Jet Desublimation.Advanced materials (Deerfield Beach, Fla.) · 2025
    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

12 authors.

Chao HuangDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Eva Katharine PontrelliApplied Physics Program, University of Michigan, Ann Arbor, MI, 48109, USA.
Jae Wan LeeDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Binyu WangDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Ganlin ChenDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Tatiane Cogo MachadoDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Hemanth MaddaliDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Benjamin De ChazalDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Anish TutejaDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Ronald G LarsonDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Naír Rodríguez-HornedoCollege of Pharmacy, University of Michigan, Ann Arbor, MI, 48109, USA.
Max ShteinDepartment of Materials Science and Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0003-4844-5108

Funding

Division of Chemical, Bioengineering, Environmental, and Transport Systems 2029139Gates Foundation INV-029041Grand Challenges in Global Health N030762National Science Foundation F058397
6 · The paper itself

Abstract

Critical phenomena in nature (e.g., albedo, precipitation, pollination, etc.) depend on formation and transport of nanomaterials in the gas phase, as do many industrial processes. Yet controlling and predicting particle formation and growth in the gas phase, particularly involving small organic molecules, remains challenging. Here, controlled formation of nanoparticles composed of small molecular organic materials is achieved using a nitrogen-propelled vapor jet. The entire process is modeled in detail using multiphysics simulation, linking materials' thermophysical properties to processing conditions, and the model is experimentally validated. This combined experimental and modeling approach presented here for controllably generating pure, molecular organic nanoparticles has broad applications in pharmaceutical, flavoring, dyeing, and electronics.

Indexed as

amorphizationmorphology controlnanoparticlesmall molecules

Identifiers

PMID40932115
PMCPMC12651128

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.