The journal publishes research on advanced modeling and simulation techniques applied to engineering sciences. This includes the development and application of physics-informed neural networks, reduced-order models, and machine learning approaches for solving complex differential equations and simulating physical phenomena. Topics also cover reliability analysis, structural dynamics, fluid dynamics, heat transfer, and material science, often involving multiphysics and multiscale problems.
LOCKSS, Portico, CLOCKSS, National Science Library, Chinese Academy of Sciences
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Plagiarism detection in place?
Yes
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Listed in DOAJ (verified OA)?
DOAJ verified
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Primary language documented?
English
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2019
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
Engineering (miscellaneous)Q1
Modeling and SimulationQ1
Applied MathematicsQ2
Computer Science ApplicationsQ2
Subject Classification
Web of Science Categories
Mechanics
Scopus Categories
Applied MathematicsComputer Science ApplicationsEngineering (miscellaneous)Modeling and Simulation
Research Topics (OpenAlex)
Model Reduction and Neural NetworksNumerical methods in engineeringAdvanced Numerical Methods in Computational MathematicsProbabilistic and Robust Engineering DesignComposite Material MechanicsElasticity and Material ModelingNumerical methods for differential equationsLattice Boltzmann Simulation StudiesComposite Structure Analysis and OptimizationAdvanced Multi-Objective Optimization Algorithms