Complex Systems Theory studies systems composed of many interacting components whose collective behavior cannot be inferred from individual parts alone. Examples include ecosystems, financial markets, neural networks, and physical systems far from equilibrium. Complex systems exhibit emergence, self-organization, and adaptability. This field uses tools from non-linear dynamics, statistical physics, and network theory. Complex systems theory seeks to identify universal principles governing diverse systems. In physics, it explains pattern formation and collective phenomena. This approach emphasizes robustness and adaptability rather than predictability. Complex systems theory provides a unifying framework across disciplines. It challenges reductionist thinking and highlights the importance of interactions and feedback loops.
Title : Photoaligned azodye nanolayers: New trends for liquid crystal devices
Vladimir Chigrinov, Hong Kong University of Science and Technology, Hong Kong
Title : Using physics to eliminate implant infection in over 25000 patients to date
Thomas J Webster, Brown University, United States
Title : How the Rad Lab helped avert nuclear war
Thomas F Ramos, Lawrence Livermore National Laboratory, United States
Title : Anisotropic stiffness matrix of bed joint mesh-reinforced masonry: A numerical homogenization approach
Omar Mohammed Daud Shakarneh, Novosibirsk State University of Architecture and Civil Engineering, Russian Federation
Title : Global photochemical model CHARM-DE of the Earth’s atmosphere for altitudes 0-130 km
Alexei Krivolutsky, Central Aerological Observatory (CAO), Russian Federation
Title : Enhanced ferromagnetism in carbon dots polyaniline nanocomposite
Paulo Cesar De Morais, University of Brasilia, Brazil