Journal of Verification, Validation and Uncertainty Quantification (JVVUQ)

The Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) is a quarterly, peer-reviewed scientific journal published by the American Society of Mechanical Engineers (ASME) that focuses on advancing research and methodologies in verification, validation, and uncertainty quantification (VVUQ) of computational models and simulations. Verification ensures that a computational model is solved correctly relative to its mathematical description, while validation assesses how well a model represents real-world phenomena. Uncertainty quantification addresses how uncertainties in data, models, and numerical implementation propagate to simulation outputs. The journal publishes original research articles, case studies, methodological developments, and illustrative examples that improve model credibility, predictive capability, and decision-making in engineering and scientific applications. Topics include code and solution verification, experimental design for validation, statistical uncertainty analysis, sensitivity analysis, model discrepancy, Bayesian inference, and methods to quantify margins and uncertainties. Its interdisciplinary scope spans engineering, computational mathematics, statistics, computer science, and modeling & simulation, serving researchers and practitioners who develop rigorous frameworks and computational tools to evaluate and enhance confidence in simulation-driven predictions across domains such as aerospace, mechanical, biomedical, and structural engineering.

Journal of Verification, Validation and Uncertainty Quantification (JVVUQ) is :-

• International, Peer-Reviewed, Open Access, Refereed, General Computer Science, Statistics, Probability and Uncertainty, validation, code and solution verification, experimental design for validation, statistical uncertainty analysis, sensitivity analysis, model discrepancy, Bayesian inference , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2377-2158, E-ISSN: 2377-2166, Established: 2016, Impact Factor: 0.8
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE