.png){kind=icon}
返回
Advanced Computational Methods for Modeling, Prediction and Optimization-A Review
.png){kind=icon}
OA
AI
DOI：10.3390/ma17143521.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
artificial intelligence
machine learning
modeling
simulation
optimization
complex systems
material engineering
energy systems
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.2
论文数:
5.7W
被引数:
15.1W
机构
引用论文
Physical, Behavioural and Genetic Predictors of Adult Hypertension: The Findings of the Kaunas Cardiovascular Risk Cohort Study.png)
PLoS ONEOAAI
PLoS ONEIF0
OAAI分享收藏<title>Waves In Piezoelectric Crystals For Frequency Control And Signal Processing</title>压电晶体中的波用于频率控制和信号处理
PREAI
分享收藏Multi-Objective Optimization of Thin-Walled Composite Axisymmetric Structures Using Neural Surrogate Models and Genetic Algorithms基于神经代理模型和遗传算法的薄壁复合材料轴对称结构多目标优化MATERIALSOAAI
MATERIALSIF3.2
OAAI分享收藏Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach通过高通量虚拟筛选和实验方法设计高效分子有机发光二极管NATURE MATERIALS
NATURE MATERIALSIF38.5
PREAI
分享收藏Fluidized Bed Jet Milling Process Optimized for Mass and Particle Size with a Fuzzy Logic ApproachMATERIALSOAAI
MATERIALSIF3.2
OAAI分享收藏Computer Simulations of Injection Process of Elements Used in Electromechanical DevicesMATERIALSOAAI
MATERIALSIF3.2
OAAI分享收藏
Host Endocrine Effects on Helminth Parasites. I. Influence of Castration and Thyroidectomy of Rats on Physical Measurements of Hymenolepis diminuta (Rudolphi, 1819)宿主内分泌对蠕虫寄生虫的影响。I. 大鼠去势和甲状腺切除对其物理测量的影响（对Hymenolepis diminuta (Rudolphi, 1819)）
PREAI
分享收藏
查看更多内容