As a part of the EXPOLIS study, a stochastic exposure-modeling framework was developed. The framework is useful to compare exposure distributions of different (sub-) populations or different scenarios ...

Modeling and simulation are essential tools in understanding and analyzing complex systems across various fields. The importance of these techniques lies in their ability to provide insights into ...

📧 yangpeihao@stu.hit.edu.cn Tiantian Wang, Harbin Institute of Technology 📧 wangtiantian@hit.edu.cn Ming Yang, Harbin Institute of Technology 📧 23S136282@stu.hit.edu.cn Xiaohong Su, Harbin ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

The complex interplay between chemistry, microstructure, and behavior of many engineering materials has been investigated predominantly by experimental methods. Parallel to the increase in computer ...

Simulation approach involves the use of computers and mathematical models to simulate real systems for experimentation or tests that evaluate the behavior and performance of a system or predict the ...

You will be redirected to our submission process. Molecular modeling and simulation are now essential tools for comprehending and engineering intricate molecular systems in chemistry, biology, and ...

Abstract: Traffic congestion, accidents, and unpredictable driver behaviour remain significant challenges in urban transportation systems. Traditional traffic simulation models often fail to adapt to ...

In this blog post, check out 5 real-world examples of how multiphysics modeling and simulation apps are being used in the food & beverage industry to optimize food safety processes: ...

Abstract: Pedestrian behavior modeling and simulation play a critical role in traffic safety, urban planning, and transportation system optimization. In traffic environments, these models are used to ...