Research Topic · Peer-Reviewed

Simulation and Modeling

Simulation and Modeling are two of the most powerful tools used by scientists, engineers, and analysts to help understand how complex systems work and predict how they may behave in the future. They involve creating digital replicas of real-world systems, such as a weather system or an economic market, and then runn…

Curated from this journal's research 📚 3 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

Simulation and Modeling are two of the most powerful tools used by scientists, engineers, and analysts to help understand how complex systems work and predict how they may behave in the future. They involve creating digital replicas of real-world systems, such as a weather system or an economic market, and then running simulations to study the effect of various inputs. Modeling is a powerful way to understand and predict the behavior of systems, and can help to provide insight into the relationship between different variables and how the system may respond to different events. Simulation and Modeling have many applications, from helping to design efficient cars, aircraft, and electronics to forecasting the impact of proposed policies on the economy. They also help researchers to explore the behavior of abstract systems in areas such as computer science and mathematics.

Research published in this journal

3 peer-reviewed articles, ranked by relevance. Each links to its DOI.

Editorial oversight

Curated from peer-reviewed research published in Model Based Research (ISSN 2643-2811).

Journal editorial board
Yoshiaki Kikuchi · Japan Yung-Yao Chen · Taiwan Yang Chen · United States

This page summarises published research for orientation; it is not medical or professional advice.