Krzywanski Jaroslaw, Sosnowski Marcin, Grabowska Karolina, Zylka Anna, Lasek Lukasz, Kijo-Kleczkowska Agnieszka
Department of Advanced Computational Methods, Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, Armii Krajowej 13/15, 42-200 Czestochowa, Poland.
Wladyslaw Bieganski Collegium Medicum, Jan Dlugosz University in Czestochowa, Armii Krajowej 13/15, 42-200 Czestochowa, Poland.
Materials (Basel). 2024 Jul 16;17(14):3521. doi: 10.3390/ma17143521.
This paper provides a comprehensive review of recent advancements in computational methods for modeling, simulation, and optimization of complex systems in materials engineering, mechanical engineering, and energy systems. We identified key trends and highlighted the integration of artificial intelligence (AI) with traditional computational methods. Some of the cited works were previously published within the topic: "Computational Methods: Modeling, Simulations, and Optimization of Complex Systems"; thus, this article compiles the latest reports from this field. The work presents various contemporary applications of advanced computational algorithms, including AI methods. It also introduces proposals for novel strategies in materials production and optimization methods within the energy systems domain. It is essential to optimize the properties of materials used in energy. Our findings demonstrate significant improvements in accuracy and efficiency, offering valuable insights for researchers and practitioners. This review contributes to the field by synthesizing state-of-the-art developments and suggesting directions for future research, underscoring the critical role of these methods in advancing engineering and technological solutions.
本文全面回顾了材料工程、机械工程和能源系统中复杂系统建模、仿真和优化计算方法的最新进展。我们确定了关键趋势，并强调了人工智能（AI）与传统计算方法的整合。部分引用的作品先前已在“计算方法：复杂系统的建模、仿真和优化”主题下发表；因此，本文汇编了该领域的最新报告。这项工作展示了包括人工智能方法在内的先进计算算法的各种当代应用。它还介绍了材料生产新策略以及能源系统领域优化方法的建议。优化能源中使用材料的性能至关重要。我们的研究结果表明在准确性和效率方面有显著提高，为研究人员和从业者提供了有价值的见解。本综述通过综合最新发展并为未来研究提出方向，为该领域做出了贡献，强调了这些方法在推进工程和技术解决方案方面的关键作用。
