Evidence map›Paper›PMID 40949870›Full record

ArticleRSC advances2025

FlowMat: a toolbox for modeling flow reactors using physics-based and machine learning approaches for modular simulation, parameter identification, and reactor optimization.

Sebastian Knoll, Klara Silber, Jason D Williams, Peter Sagmeister, Christopher A Hone, C Oliver Kappe, Martin Steinberger, Martin Horn

Abstract read
In one paragraph

Article in RSC advances, 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

8 authors.

Sebastian KnollInstitute of Automation and Control, Graz University of Technology Inffeldgasse 21b 8010 Graz Austria martin.horn@tugraz.at.ORCID https://orcid.org/0000-0003-0566-3025
Klara SilberCenter for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE) Inffeldgasse 13 8010 Graz Austria christopher.hone@rcpe.at.ORCID https://orcid.org/0009-0005-4501-8233
Jason D WilliamsCenter for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE) Inffeldgasse 13 8010 Graz Austria christopher.hone@rcpe.at.ORCID https://orcid.org/0000-0001-5449-5094
Peter SagmeisterCenter for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE) Inffeldgasse 13 8010 Graz Austria christopher.hone@rcpe.at.ORCID https://orcid.org/0000-0002-4326-1775
Christopher A HoneCenter for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE) Inffeldgasse 13 8010 Graz Austria christopher.hone@rcpe.at.ORCID https://orcid.org/0000-0002-5939-920X
C Oliver KappeCenter for Continuous Synthesis and Processing (CCFLOW), Research Center Pharmaceutical Engineering GmbH (RCPE) Inffeldgasse 13 8010 Graz Austria christopher.hone@rcpe.at.ORCID https://orcid.org/0000-0003-2983-6007
Martin SteinbergerInstitute of Automation and Control, Graz University of Technology Inffeldgasse 21b 8010 Graz Austria martin.horn@tugraz.at.
Martin HornInstitute of Automation and Control, Graz University of Technology Inffeldgasse 21b 8010 Graz Austria martin.horn@tugraz.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces a versatile, open-source MATLAB/Simulink toolbox for modeling and optimizing flow reactors. The toolbox features a modular architecture and an intuitive drag-and-drop interface, supporting a range of different modeling approaches, including physics-based, data-driven, and hybrid models such as physics-informed neural networks. We detail the toolbox's implementation and demonstrate its capabilities through real-world applications, including the simulation of flow reactors, identification of reaction parameters using experimental data (

Identifiers

PMID40949870
PMCPMC12428333

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.