Mathematical Modeling in Physical Science

IC-MSQUARE is an international scientific conference that has been held continuously for the last 10 years and focuses on mathematical techniques and their application in a wide range of sciences. This year, taking into account the 2030 Agenda for Sustainable Development agreed upon by the United Nations ensuring the planet’s balanced, sustainable and inclusive development, we have decided to focus our research efforts in this direction.

The basic sciences have made a significant contribution to the implementation of this program. They provide necessary tools for addressing critical global challenges, such as universal access to food, energy, health care and communication technologies. They enable us to understand the impact of the currently nearly eight billion people on the planet and to act to limit, and sometimes even reduce: ozone depletion, climate change, natural resource depletion and extinction of species.

In this context, we are organizing a session in IC-MSQUARE that will focus on the abovementioned subjects. Further, this Special Issue will gathering research addressing theoretical and applied challenges that concern not only technological development and industry, but our society as a whole. This Special Issue will highlight important developments in the fields of mathematical, statistical and computational simulation with applications in complex economic and social systems as well as the development of modern machine learning techniques and evolutionary algorithms that can meet the modern challenges facing our planet.

All contributions are welcome, in addition to those of the IC-MSQUARE delegates.

Assoc. Pro Dimitrios Vlachos
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• • statistical physics
• • complex systems and complex networks
• • big data analysis
• • social and economic systems modeling
• • machine learning and applications
• • evolutionary algorithms