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Journal of Verification, Validation and Uncertainty Quantification Template

Write in a clean editor, then format for Journal of Verification, Validation and Uncertainty Quantification in one click — DocuGuru applies the official ASME template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

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About the Journal of Verification, Validation and Uncertainty Quantification format

Journal of Verification, Validation and Uncertainty Quantification is a peer-reviewed journal published by ASME, covering Probabilistic and Robust Engineering Design, Computational Fluid Dynamics and Aerodynamics, Advanced Multi-Objective Optimization Algorithms. Over its lifetime it has published 240 papers, which have received 1,360 citations.

PublisherASME
Reference styleNumbered (ASME)
Numbered — [1], [2] in the text
[1] Smith, A., Jones, B., and Lee, C., 2023, "A Representative Article Title," Journal of Verification, Validation and Uncertainty Quantification, 12(3), pp. 45–58.

Formats any DOI in Journal of Verification, Validation and Uncertainty Quantification style. No sign-up.

Publishes research inProbabilistic and Robust Engineering Design Computational Fluid Dynamics and Aerodynamics Advanced Multi-Objective Optimization Algorithms Nuclear Engineering Thermal-Hydraulics Fluid Dynamics and Turbulent Flows
ISSN2377-2158
Citation impact (2-yr)0.47
h-index17
i10-index43
Top institutions publishing hereLos Alamos National Laboratory
Journal websiteverification.asmedigitalcollection.asme.org
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Journal of Verification, Validation and Uncertainty Quantification per year

12
2015
21
2016
24
2017
23
2018
25
2019
28
2020
30
2021
21
2022
18
2023
23
2024
15
2025

Citation impact of Journal of Verification, Validation and Uncertainty Quantification by publication year

191
2015
176
2016
292
2017
160
2018
185
2019
118
2020
100
2021
68
2022
52
2023
18
2024
0
2025

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Journal of Verification, Validation and Uncertainty Quantification

Applicability Analysis of Validation Evidence for Biomedical Computational Models

Pras Pathmanathan, Richard A. Gray, Vicente Romero et al. · 1 Jun 2017

Computational modeling has the potential to revolutionize medicine the way it transformed engineering. However, despite decades of work, there has only been limited progress to successfully translate modeling research to patient care. One major difficulty which often occurs with biomedical computational models is an inability to perform validation in a setting that closely resembles how…

67 citations Cite SaveGo to paper →
Assessment Criteria for Computational Fluid Dynamics Model Validation Experiments

William L. Oberkampf, Barton L. Smith · 1 Sep 2017

Validation assesses the accuracy of a mathematical model by comparing simulation results to experimentally measured quantities of interest. Model validation experiments emphasize obtaining detailed information on all input data needed by the mathematical model, in addition to measuring the system response quantities (SRQs) so that the predictive accuracy of the model can be critically determined.…

49 citations Cite SaveGo to paper →
Numerical Errors in Unsteady Flow Simulations

Luís Eça, Guilherme Vaz, Serge Toxopeus et al. · 1 Jun 2019

This article discusses numerical errors in unsteady flow simulations, which may include round-off, statistical, iterative, and time and space discretization errors. The estimation of iterative and discretization errors and the influence of the initial condition on unsteady flows that become periodic are discussed. In this latter case, the goal is to determine the simulation time…

48 citations Cite SaveGo to paper →
Integrating Bayesian Calibration, Bias Correction, and Machine Learning for the 2014 Sandia Verification and Validation Challenge Problem

Wei Li, Shishi Chen, Zhen Ming Jiang et al. · 9 Nov 2015

This paper describes an integrated Bayesian calibration, bias correction, and machine learning approach to the validation challenge problem posed at the Sandia Verification and Validation Challenge Workshop, May 7–9, 2014. Three main challenges are recognized as: I—identification of unknown model parameters; II—quantification of multiple sources of uncertainty; and III—validation assessment when there are no direct…

42 citations Cite SaveGo to paper →
Bayesian Uncertainty Integration for Model Calibration, Validation, and Prediction

Joshua Mullins, Sankaran Mahadevan · 31 Dec 2015

This paper proposes a comprehensive approach to prediction under uncertainty by application to the Sandia National Laboratories verification and validation challenge problem. In this problem, legacy data and experimental measurements of different levels of fidelity and complexity (e.g., coupon tests, material and fluid characterizations, and full system tests/measurements) compose a hierarchy of information where fewer…

39 citations Cite SaveGo to paper →

Journal of Verification, Validation and Uncertainty Quantification template — frequently asked questions

How do I write a paper in the Journal of Verification, Validation and Uncertainty Quantification format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Journal of Verification, Validation and Uncertainty Quantification template. When you export, DocuGuru compiles the paper into the official ASME format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Journal of Verification, Validation and Uncertainty Quantification use?
Journal of Verification, Validation and Uncertainty Quantification uses Numbered (ASME) references, shown as numbered [1], [2] markers in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: [1] Smith, A., Jones, B., and Lee, C., 2023, "A Representative Article Title," Journal of Verification, Validation and Uncertainty Quantification, 12(3), pp. 45–58.
Do I need to know LaTeX to submit to Journal of Verification, Validation and Uncertainty Quantification?
No. DocuGuru generates the asmejour LaTeX class and compiles the PDF for you in the background, so you get a ASME-ready Journal of Verification, Validation and Uncertainty Quantification document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Journal of Verification, Validation and Uncertainty Quantification template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Journal of Verification, Validation and Uncertainty Quantification format with correct headings, figures, tables, and numbered citations.
What is Journal of Verification, Validation and Uncertainty Quantification?
ASME journal. It is a engineering and computer science journal, published by ASME.
Can I export a submission-ready Journal of Verification, Validation and Uncertainty Quantification PDF?
Yes — DocuGuru produces a PDF built with the official Journal of Verification, Validation and Uncertainty Quantification template (the asmejour class) that is ready to submit to ASME, together with the matching LaTeX source files.
How much does the Journal of Verification, Validation and Uncertainty Quantification template cost?
You can start writing in the Journal of Verification, Validation and Uncertainty Quantification template for free. Exporting the final submission-ready Journal of Verification, Validation and Uncertainty Quantification PDF and LaTeX source is part of DocuGuru's paid plans — see the app for current pricing.
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