Guest Editors
Prof. Carlos Llopis-Albert
Email: cllopisa@upvnet.upv.es
Affiliation: Department of Mechanical and Materials Engineering, Universitat Politècnica de València (UPV), 46022 Valencia, Spain
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Research Interests: Computational Mechanics, Multiphysics Simulations, Optimization Techniques, Sustainable and Green Engineering, Educational Innovations
Prof. Shouzhen Zeng
Email: zengshouzhen@nbu.edu.cn
Affiliation: School of Business, Ningbo University, Ningbo 315211, China
Homepage:
Research Interests: Intelligent computing, fuzzy system, decision making, operator, Optimization techniques
Prof. Carlos Alberto Devece Caraana
Email: cdevece@upvnet.upv.es
Affiliation: Department of Business Organization, Universitat Politècnica de València (UPV), 46022 Valencia, Spain
Homepage:
Research Interests: Decision making, aggregation operators, computational intelligence
Summary
Introduction: Numerical methods are foundational to solving complex problems across diverse fields of engineering and applied sciences. From structural analysis and fluid mechanics to electrical systems and biomedical engineering, numerical methods provide the computational tools necessary for simulation, optimization, and design. As engineering challenges grow in complexity, the need for innovative numerical techniques and computational strategies becomes increasingly important. This Special Issue aims to bring together cutting-edge research that advances the theoretical development and practical application of numerical methods across various disciplines, fostering interdisciplinary collaboration and knowledge sharing.
Aim and Scope: The aim of this Special Issue is to publish high-quality research papers that address the development, improvement, and application of numerical methods in different branches of engineering and science. Contributions that explore new algorithms, computational models, and the use of advanced software for solving real-world problems are encouraged. The issue will serve as a platform to disseminate innovations that can be applied in multiple fields.
Suggested Themes:
Development of novel numerical algorithms
Multidisciplinary applications of numerical methods
Numerical methods in machine learning
Advances in computational fluid dynamics (CFD)
Numerical methods in mechanical, materials and structural engineering
Optimization techniques in engineering
High-performance computing in numerical simulations
Numerical methods in bioengineering and environmental science
High-performance computing in numerical simulations
Numerical methods, fuzzy systems and aggregation operators in decision-making for industrial management, business, and economics
Keywords
Numerical Methods, Computational Techniques, Multidisciplinary Engineering, Algorithm Development, High-Performance Computing, Simulation, Optimization
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