Complex Systems Studies

J.M. Kosterlitz presents an overview on topological aspects in phase transitions! Link: universite-paris-saclay-fr John Michael Kosterlitz is a British-American physicist. He is a professor of physics at Brown University and the son of biochemist Hans Kosterlitz. He was awarded the 2016 Nobel Prize in physics along with David Thouless and Duncan Haldane for work on condensed matter physics.

#postdoc position in the study of group information dynamics both online/offline. http://eddielee.co/positions.html

#PhD scholarship available in nonlinear dynamics, data analysis, complex systems. Applicants should send to cristina.masoller@upc.edu: CV and academic record with the grades obtained bachelor and master studies. More info: http://www.fisica.edu.uy/~cris/phd_offer.htm

Order through entropy - Daan Frenkel Understanding entropic contributions to common ordering transitions is essential for the design of self-assembling systems with addressable complexity http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022/Frenkel_entropy_2014.pdf

Introduction to the statistical physics of phase transitions and critical phenomena (lecture notes) - Emmanuel Trizac (LPTMS, Paris-Saclay/CNRS) School on disorder in complex systems at Institut Pascal (June 2022) http://www.lptms.u-psud.fr/membres/trizac/Ens/IPa_2022.html

Opening for a #postdoc position at the CPT in Marseille, to work with me on the relations between pedestrian models and contact networks. #sociophysics #complexnetworks More information here: https://t.co/5XP8OKT1Tz

Glad to be invited speaker (talking about the evolution of cognition and liquid brains) at this conference in Yerevan, (Armenia) https://t.co/KRSs6c5uBe Goldenfeld, Koonin, Saakian, Hogeweg, Wolpert, Kaneko, Takeuchi, Kolchinsky and so many other great scholars. https://t.co/kMLlY7TRwy

Quantifying relevance in learning and inference! seminar tomorrow 2:00 pm CET accompanying their recent review in Physics Reports. https://t.co/6xfZduvJkx

DEADLINE Extended to 5th June! CODATA-RDA Research Data Science Summer School 2022: apply to participate in person or online https://t.co/TbIceCEKXz

When is a network tree-like and how does it help in exploring dynamics? https://youtu.be/PF6lakapOhQ Konstantin Klemm- IFISC Tree-like approximation is a computational method commonly used for dynamic properties on quenched finite network realizations, including empirical networks. Percolation cluster sizes, epidemic thresholds, and Ising/Potts partition functions and magnetization are among such properties. That method is exact only when the network is a tree: removal of one inner node leaves the network fragmented, with each fragment again separable in the same way. A generalization of this recursive separation is called tree-decomposition of width k, allowing a set of up to k nodes as a separator in each step. In this talk, I show (i) how to find useful tree-decompositions and (ii) how to employ these to efficiently compute exact properties of the Ising model and other stochastic processes with detailed balance.

Statistical physics rejects theory of 'two Ukraines' https://phys.org/news/2022-05-statistical-physics-theory-ukraines.html

Analyzing rankings/orderings is surprisingly hard when data are incomplete or noisy. New letter in Physical Review E addressing these problems, including ordering events in growing networks. https://t.co/Z53r3zWAz1

Please help circulate: I am recruiting two fully funded PhD to join my network science research group at the Uni Zurich to work on mathematical methods for networks, complex systems and digitalization. https://t.co/LPYpRAJwaI

What defines complexity? Answer: Emergent properties, i. e. when a system exhibits order at one scale that is irreducible to the properties of its parts. https://t.co/VkkDLHpSxl

Concept of #emergence - a well-recognized phenomenon which characterizes complex systems. https://t.co/SKibTGNknq

Concept of #emergence - a well-recognized phenomenon which characterizes complex systems. https://t.co/SKibTGNknq

⭕️ سمینار‌های فیزیک آماری ⭕️ 💡 موضوع ارائه: چرا از فواصل موسیقی لذت می‌بریم؟ 🗣 ارائه دهنده: علیرضا ولیزاده (دانشگاه تحصیلات تکمیلی علوم پایه‌ی زنجان زنجان) 📅 زمان ارائه: یک‌شنبه ۱ خرداد، ساعت ۱۵:۰۰ 🚪 محل برگزاری: اتاق ۵۱۲ دانشکده‌ی فیزیک و همزمان در اتاق مجازی گروه فیزیک آماری 💢#اطلاع_رسانی_سمینارهای_دانشکده 💢#سمینار_فیزیک_آماری 💢#دکتر_مقیمی #دکتر_قنبرنژاد #دکتر_روحانی 🆔 @anjoman_elmi_phys_sut

🚨 What we know & don’t know about #monkeypox, & how to think about the current outbreak. One thing: It’s unique partly because it’s, er, happening amid a pandemic. Our reactions are deeply influenced by the last 3 years—in good & bad ways... https://t.co/SvEntsKEd3

🌐🧑‍🏫 Geospatial Data Science - new teaching materials: https://t.co/wCKRStKhxu

How is the complexity of statistical physics connected to computation and language structure? This is a deep problem. Here's a paper on an elegant formalization that links spin Hamiltonians & the Chomsky's hierarchy https://t.co/SllPLDRevf