Advanced Modeling and Simulation in Engineering Sciences

Advanced Modeling and Simulation in Engineering Sciences
影响因子:
2
ISSN:
print: 2213-7467
研究领域:
Engineering-Engineering (miscellaneous)
Gold OA文章占比:
100.00%
原创研究文献占比:
0.00%
SCI收录类型:
Scopus (CiteScore) || Directory of Open Access Journals (DOAJ)
期刊介绍英文:
The research topics addressed by Advanced Modeling and Simulation in Engineering Sciences (AMSES) cover the vast domain of the advanced modeling and simulation of materials, processes and structures governed by the laws of mechanics. The emphasis is on advanced and innovative modeling approaches and numerical strategies. The main objective is to describe the actual physics of large mechanical systems with complicated geometries as accurately as possible using complex, highly nonlinear and coupled multiphysics and multiscale models, and then to carry out simulations with these complex models as rapidly as possible. In other words, this research revolves around efficient numerical modeling along with model verification and validation. Therefore, the corresponding papers deal with advanced modeling and simulation, efficient optimization, inverse analysis, data-driven computation and simulation-based control. These challenging issues require multidisciplinary efforts – particularly in modeling, numerical analysis and computer science – which are treated in this journal.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
6.80.7411.243
学科
排名
百分位
大类:Mathematics
小类:Applied Mathematics
49 / 635
92%
大类:Mathematics
小类:Modeling and Simulation
37 / 324
88%
大类:Engineering
小类:Engineering (miscellaneous)
31 / 204
85%
大类:Computer Science
小类:Computer Science Applications
205 / 817
74%
发文信息
历年影响因子
2023年2.0000
历年发表
2013年0
2014年19
2015年32
2016年34
2017年7
2018年31
2019年13
2020年50
2021年30
2022年22
投稿信息
出版语言:
English
出版国家(地区):
United Kingdom
审稿时长:
30 weeks
出版商:
Springer Nature

Advanced Modeling and Simulation in Engineering Sciences - 最新文献

Application of graph neural networks to predict explosion-induced transient flow

Pub Date : 2024-09-16 DOI: 10.1186/s40323-024-00272-4 Ginevra Covoni, Francesco Montomoli, Vito L. Tagarielli, Valentina Bisio, Stefano Rossin, Marco Ruggiero

Role of physical structure on performance index of crossflow microchannel heat exchanger with regression analysis

Pub Date : 2024-08-27 DOI: 10.1186/s40323-024-00271-5 Salma Jahan, Rehena Nasrin

Enhanced prediction of thermomechanical systems using machine learning, PCA, and finite element simulation

Pub Date : 2024-06-29 DOI: 10.1186/s40323-024-00268-0 Thomas Schneider, Alexandre Beiderwellen Bedrikow, Karsten Stahl
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