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Statistical and Nonlinear Physics
Statistical and Nonlinear Physics
Statistical and Nonlinear Physics study systems with many interacting components and nonlinear behavior. Statistical physics links microscopic dynamics to macroscopic properties. Nonlinear physics explains chaos, bifurcations, and pattern formation. These fields apply across physics, biology, and engineering. They address complexity, emergence, and irreversibility. Mathematical modeling and simulations are essential tools. Statistical and nonlinear physics reveal universal behavior across diverse systems. They provide insight into turbulence, phase transitions, and complex networks. This field is foundational for understanding real-world complex phenomena.
Committee Members
Thomas F Ramos
Lawrence Livermore National Laboratory, United States
Ephraim Suhir
Portland State University, United States
Alexander Unzicker
Pestalozzi Gymnasium Munchen, Germany GPIC 2026 Speakers
Thomas J Webster
Brown University, United States
Jon H Brasher
Stelleo Scientific Foundation, United States
Jason Liu
West Windsor-Plainsboro High School North, United States
Tom Lawrence
Ronin Institute of Independent Scholarship 2.0, United KingdomSubmit your abstract Today
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