Accepted abstracts will be invited to publish in a proceedings volume with SpringerNature
Join us at the "Physics of Self-Organization in Complex Systems" (PSOCS) satellite meeting, where we delve into the fascinating interplay between fundamental physics and the emergent phenomenon of self-organization in a myriad of complex systems. This gathering is a beacon for scholars who harness physics principles to unravel the intricacies of self-organizing systems, spanning an array of disciplines from physics to chemistry, biology, economics, technology, and even social sciences.
At PSOCS, we stand on the shoulders of giants like Lars Onzager, Ilya Prigogine, and Herman Haken, drawing inspiration to shed light on the fundamental tenets of self-organization and apply these principles across diverse systems and scales—from the subatomic to the cosmic. Our community is at the forefront, exploring cutting-edge topics like quantum computation, information theory, and entropy in the quest to understand and predict the dynamics of complex systems.
We invite you to contribute to this vibrant discourse, which is enriched by the latest advancements in theoretical, computational, and simulation methodologies aimed at deciphering out-of-equilibrium thermodynamic systems and the mesmerizing patterns that arise from energy flow dynamics.
The legacy of visionaries like Carl Sagan and Eric Chaisson echoes through our sessions, as we explore the acceleration of structure formation in the universe and its correlation with free energy rate density. Our quest is deeply statistical and probabilistic, necessitating the marriage of quantum computation with complex systems analysis to tackle problems that are insurmountable through classical means.
PSOCS is where deep learning, artificial intelligence, and big data converge to address some of the most profound questions in complex systems science. From uncovering attractors that drive self-organization to characterizing transport networks in non-equilibrium systems, we seek to explore the uncharted territories of self-organization.
We cordially invite researchers, thinkers, and innovators who are probing the depths of self-organization in complex systems to share their insights and discoveries. Whether you're investigating the fundamental equations of self-organization, the interplay of energy and matter, or the universal principles governing systems across scales, your contribution is invaluable.
Submit your abstract and join a community dedicated to advancing our understanding of the physical underpinnings of complex, self-organizing systems and their profound implications across all realms of science and beyond. Let's collectively push the boundaries of knowledge and explore the myriad ways in which the universe organizes itself.
Entropy, Information, Least Action Principle, Variational Principles, Mathematical Models, Self-organization, Out-of-equilibrium Systems, Non-equilibrium Thermodynamics, Non-linear processes, Networks, Fractals, Chaos, Catastrophe Theory, Free energy Rate Density, Cosmic Evolution, Positive and Negative feedback loops, Scaling Laws, Complexity, Quantum Computation, Artificial Intelligence.
Confirmed Keynote Speakers:
Prof. Dr. Dalton Sakthivadivel, CUNY Graduate Centre, Einstein Chair professorship in mathematics. "An approach to non-equilibrium statistical physics using variational Bayesian inference''
Prof. Dr. Henrik Jeldtoft Jensen, Mathematical Physics and Leader of the Centre for Complexity Science, Imperial College London.
Prof. Dr. Mile Gu, The Quantum and Complexity Science Initiative, Nanyang Technological Unversity, Singapore.
Submissions at: https://easychair.org/my/conference?conf=ccs2024
Contact and submissions: ggeorgiev at wpi.edu or ggeorgie at assumption.edu
Abstract Deadline: Extended to July 31, 2024 - (originally July 10, 2024 ) later abstracts can be considered for posters. Please, contact us.
Notifications of Acceptance: August 18, 2024
Paper Submission Deadline: 30th November, 2024
Professor Georgi Georgiev, Ph.D., Department of Physics, Assumption University & Worcester Polytechnic Institute, MA, USA