Research Topic · Peer-Reviewed

Scientific Modelling

Scientific modelling is a powerful tool in science and engineering, allowing researchers to explore, study and develop new solutions to complex problems. It is the process of creating a simulation, representation or abstract version of a real-world system or phenomenon. Through this process, researchers can analyse …

Curated from this journal's research 📚 2 peer-reviewed articles cited 🔖 ISSN 2643-2811 🗓 Reviewed July 2026

Overview

Scientific modelling is a powerful tool in science and engineering, allowing researchers to explore, study and develop new solutions to complex problems. It is the process of creating a simulation, representation or abstract version of a real-world system or phenomenon. Through this process, researchers can analyse data, test hypotheses and build predictive models without needing to conduct expensive and time-consuming experiments. Scientific modelling has proven to be an invaluable asset in many different fields, including medicine, biology, physics, meteorology, engineering and economics. It can be used to accurately model physical processes, predict future trends, create new products and technologies, analyse large datasets, and make more sophisticated decisions.

Research published in this journal

2 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.