AI and Computational Methods for Modelling, Simulations and Optimizing of Advanced Systems: Innovations in Complexity, 2nd Edition

Dear Colleagues,

Due to novel paradigms and approaches, including agents AI and quantum computing, as well as the increasing computational capability of current data processing systems, new opportunities emerge in the modelling, simulations, and optimization of complex systems and devices. Difficult-to-apply, highly demanding, and time-consuming methods may now be considered when developing complete and sophisticated models in many areas of science and technology. Combining AI algorithms and computational methods, including numerical and other methods, allows for conducting multi-threaded analyses to solve advanced and interdisciplinary problems.

This article collection aims to bring together research on advances in the modelling, simulation, and optimization issues of complex systems, considering the great interest received for the first edition of this Topic.

Original research, review articles, and short communications focusing on (but not limited to) artificial intelligence and other computational methods are welcome.

This topic was carried out within the framework of the MsLimitCO2 project, “Multi-scale investigation of chemical looping combustion of biomass pellets towards negative CO₂ emission”, (Agreement No. WPC3/2022/44/MSLimitCo2/2024), funded through the 3rd Polish–Chinese/Chinese–Polish Joint Research Programme, managed by the National Center for Research and Development (NCBR), Poland, and the Ministry of Science and Technology (MOST) of the People’s Republic of China. The support received is gratefully acknowledged.

Prof. Dr. Jaroslaw Krzywanski
Dr. Marcin Sosnowski
Dr. Karolina Grabowska
Dr. Dorian Skrobek
Dr. Anna Zylka
Prof. Dr. Agnieszka Kijo-Kleczkowska
Dr. Bashar Shboul
Prof. Dr. Tomasz Czakiert
Topic Editors