
III. Ecosmos: A Revolutionary Fertile, Habitable, SolarBioplanet, Incubator Lifescape2. Computational Systems Physics: SelfOrganization, Active Matter Emergent Universe Project. www.emergentuniverse.org/emp. A new site by a diverse consortium of the Institute for Complex Adaptive Matter, a multicampus research program of the University of California, the San Francisco Exploratorium, and the science museums of Chicago and Minnesota. Members include David Pines, veteran complexity theorist and founding codirector of ICAM (earlier of the Santa Fe institute), Piers Coleman, professor of physics at Rutgers, and Linda Feferman, a producer of educational films to convey emergent principles. Search the site for goodies, watch for coming attractions. A significant sign in the air of a revolution to a genesis cosmos which innately gives rise to personal life and mind. The breathtaking quality of emergence lies in its broad applicability, from ants to people, and from electrons to galaxies. We assume that we can sing and dance together because we are intelligent and coordinate our behavior, and so it is surprising to see the coordinated chirping of crickets, and shocking to discover that the same principles apply to mindless things such as water molecules arranging themselves in a crystalline structure to form ice. When you get enough things together, and they interact in just the right way, they suddenly shift to coherent behavior. Emergent principles may govern the smallest units of matter, as in electrons humming together within a superconductor, to the largest, as when entire galaxies clump into regular patterns. Scientists across multiple fields have found that such systems don't require a central ringleader directing the way – their selforganization is inevitable, due to the local interactions of nearest neighbors. Heinz von Foerster 100 SelfOrganization and Emergence Congress. www.univie.ac.at/hvf11/congress/EmerQuM.html. Heinz von Foerster (19112002) was an Austrian American physicist, philosopher and a pioneer of cybernetics and systems theory. This centenary conference was held in November 2011 in Vienna with a dual focus on SelfOrganization and Emergence in Nature and Society, and Emergent Quantum Mechanics. Keynoters for the first topic are AlbertLaszlo Barabasi, John Holland and Didier Sornette, and for the other Stephen Adler, Gerard ‘t Hooft, and Lee Smolin. Abstract are available for these talks, and some fifty others such as Emergence, Gravity, and Thermodynamics by BeiLok Hu, reviewed in A Thermodynamics of Life. I review the proposal made in my 2004 book, that quantum theory is an emergent theory arising from a deeper level of dynamics. The dynamics at this deeper level is taken to be an extension of classical dynamics to noncommuting matrix variables, with cyclic permutation inside a trace used as the basic calculational tool. With plausible assumptions, quantum theory is shown to emerge as the statistical thermodynamics of this underlying theory, with the canonical commutationanticommutation relations derived from a generalized equipartition theorem. Brownian motion corrections to this thermodynamics are argued to lead to state vector reduction and to the probabilistic interpretation of quantum theory, making contact with phenomenological proposals for stochastic modifications to Schroedinger dynamics. (Adler) Quantum Systems In and Out of Equilibrium. ergodic.ugr.es/cp. A site for a June 2017 seminar at the University of Granada, Spain, which we note as an example of current frontiers in this fundamental realm in the later 2010s. Some 20 theorists spoke such as Sandu Popescu, Beatriz Olmos, and Hans Briegel, with available Abstracts. It is sponsored by the UG Statistical Physics Group, linked to this site. The aim of this meeting is to bring together scientists interested in Quantum aspects of Thermalization, Quantum Transport, Quantum Effects in Macroscopic Systems (condensed matter, biology, etc.), Quantum Computation, Open Quantum Systems, Quantum Fluctuations and Large Deviations, and Quantum Thermodynamics. STATPHYS25. http://www.statphys25.org/index.htm. A site for this 25th International Conference on Statistical Physics of the International Union of Pure and Applied Physics, held July 2013 in Seoul, Korea. We cite two presentations as examples of the field’s turn to and melding with nonlinear complexity and its application to living systems. The first Abstract is for “The Complexity, Modularity and Evolution of SelfAssembling Structures in Biology” by Sebastian Ahnert, a University of Cambridge biophysicist, and the second for “Statistical Physics of Driven DNA” by Sanjay Kumar, a Banaras Hindu University physicist. Click on Abstract Book Download on this page for the full 700 page volume. See also Advani, Madhu, et al. “Statistical Mechanics of Complex Neural Systems and High Dimensional Data” by Madhu Advant, et al in Journal of Statistical Mechanics (P03015, 2013) for a similar convergence of many agent physics and many body biology. One of the most rigorous quantitative definitions of complexity is the notion of algorithmic complexity, discovered independently by Kolmogorov and Chaitin. It is based on the idea that the length of the shortest algorithmic description of a set of data can tell us about the complexity of the data. Here we will employ this principle to measure the physical complexity of a structure, with a particular focus on selfassembling biological structures. Selfassembly is a widespread process in biology, and is essential in the formation of structures such as DNA, protein complexes, and viruses. By minimising the information required to specify the building blocks and interactions that give rise to a structure, we obtain a quantitative measure of the structure’s complexity. Using a genetic algorithm with the building blocks as a genotype and the assembled structure as a phenotype we can investigate a number of questions, including how modularity and symmetry arise in biological evolution. We then apply this approach to study the evolution, assembly and classification of protein complexes and discover new fundamental organising principles, which result in a periodic table of protein quaternary structures. (Anhert Abstract) Ambjorn, Jan, et al. The SelfOrganizing Quantum Universe. Scientific American. July, 2008. Noted more in the above section, an exemplary case of an integrative cosmology. Agrawal, Adyant and Sujin Babu. Selforganization in a Bimotility Mixture of Model Microswimmers. Physical Review E. 97/020401, 2018. Within the new APS Physics Subject Headings directory (Google), the Research Areas are collective behavior and selforganized systems, Physical Systems are Active Matter and MultiOrganism Systems, and Techniques is Theories of collective dynamics & active matter, an example of how physical science has lately come to life. Specifically Indian Institute of Technology, New Delhi physicists find such nonlinear, cooperative phenomena to innately manifest itself within mobile microbial populations. Agrawal, Ankit, et al. Chromatin as Active Matter. Journal of Statistical Mechanics. 014001, 2017. Indian biophysicists pursue a better understanding of genetic phenomena by way of perceiving it as a phase of natural selfactivity. Alexandrov, Dmitri and Andrey Zubarev. Patterns in Soft and Biological Matters. Philosophical Transactions of the Royal Society A. April, 2020. Ural Federal University, Russia bioresearchers introduce a special edition with this title. Papers such as Stochastic Phenomena in Pattern Formation for Distributed Nonlinear Systems, On the Theory of Magnetic Hyperthermia, and Constructive Role of Noise and Diffusion in an Excitable SlowFast Population System describe many ways that material substance can come alive, and while showing how living systems arise from physical principles. In each case the manifest presence of an immaterial mathematical realm is evident. This issue is devoted to theoretical, computer and experimental studies of internal heterogeneous patterns, their morphology and evolution in various soft physical, organic and inorganic materials. Their importance is due to the significant role of internal structures on the macroscopic properties and behaviour of natural and manufactured tissues and materials. Modern methods of computer modelling, statistical physics, heat and mass transfer, statistical hydrodynamics, nonlinear dynamics and experimental methods are presented. Special attention is paid to biological systems such as drug transport, hydrodynamic patterns in blood, protein, insulin crystals and more. (Abstract excerpt) Allard, Antoine, et al. The Geometric Nature of Weights in Real Complex Networks. Nature Communications. 8/14103, 2017. We note this entry by University of Barcelona, Institute of Complex Systems, theorists including Marian Boguna as a 2017 fulfillment of a constant invariance from cosmos to civilization. As many such papers do, generic network topologies and dynamics are first described, which are then be seen to be instantiated everywhere. This particular works notes their presence from cellular functions to global commerce. The topology of many real complex networks has been conjectured to be embedded in hidden metric spaces, where distances between nodes encode their likelihood of being connected. Besides of providing a natural geometrical interpretation of their complex topologies, this hypothesis yields the recipe for sustainable Internet’s routing protocols, sheds light on the hierarchical organization of biochemical pathways in cells, and allows for a rich characterization of the evolution of international trade. Here we present empirical evidence that this geometric interpretation also applies to the weighted organization of real complex networks. (Abstract) Anderson, Philip. More Is Different  One More Time. N. Phuan Ong and Ravin Bhatt, eds. More Is Different. Princeton: Princeton University Press, 2001. The Nobel laureate physicist revisits his landmark 1967 paper which helped turn science from a fixation on subatomic domains to the complexity revolution. The actual universe is the consequence of layer upon layer of emergence, and the concepts and laws necessary to understand it are as complicated, subtle and, in some cases, as universal as anything the particle folks are likely to come up with. (7) Ansari, Mohammad and Lee Smolin. SelfOrganized Criticality in Quantum Gravity. Classical and Quantum Gravity. 25/095016, 2008. Perimeter Institute theorists advance an early glimpse of nature’s actual innate tendency to seek and maintain itself in an active balance between two coincidental, often complementary opposite states. We study a simple model of spin network evolution motivated by the hypothesis that the emergence of classical spacetime from a discrete microscopic dynamics may be a selforganized critical process. Selforganized critical systems are statistical systems that naturally evolve without fine tuning to critical states in which correlation functions are scale invariant. We study several rules for evolution of frozen spin networks in which the spins labeling the edges evolve on a fixed graph. We find evidence for a set of rules which behaves analogously to sand pile models in which a critical state emerges without fine tuning, in which some correlation functions become scale invariant. (Abstract) ArgüelloLuengo, Javier, et al. Synthetic dimensions for topological and quantum phases. Communications Physics. 7/143, 2024. Eleven Barcelona Institute of Science and Technology, HarishChandra Research Institute, Allahabad, India, and Adam Mickiewicz University, Poznań, Poland system physicists propose that a growing recognition and usage of this structural concept can serve to illuminate an array of quantum and classical phenomena. The concept of synthetic dimensions works particularly well in atomic physics, quantum optics, and photonics, where the internal degrees of freedom (Zeeman sublevels of the ground state, metastable excited states, or motional states for atoms, and angular momentum states or transverse modes for photons) provide the synthetic space. In this Perspective article we report on recent progress on studies of synthetic dimensions, mostly, but not only, based on the research realized around the Barcelona groups (ICFO, UAB), Donostia (DIPC), Poznan (UAM), Kraków (UJ), and Allahabad (HRI). We describe our attempts to design quantum simulators with synthetic dimensions, to mimic curved spaces, artificial gauge fields, lattice gauge theories, twistronics, quantum random walks, and more. (Excerpt)
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