Complex Systems Studies – Telegram
Complex Systems Studies
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What's up in Complexity Science?!
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@ComplexSys

#complexity #complex_systems #networks #network_science

📨 Contact us: @carimi
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🌀 There are few places left to study our Master in Physics of Complex Systems. Take the opportunity to continue your training at a "Maria de Maeztu" centre of excellence. For more information, please visit: https://ifisc.uib-csic.es/master/

https://www.youtube.com/watch?v=usn8Ea2kBWk
Forwarded from TCNS 2018
TCNS 2018
Photo
مدرسه تابستانی یادگیری عمیق در دانشگاه تهران. دهم تا دوازدهم مرداد. ثبت نام تا چهارم مرداد.
http://acm.ut.ac.ir/deeplearning
Forwarded from IPM Biological Sciences
دومین همایش مرزهای علوم‌زیستی
2 الی 4 مرداد 1397
http://biofrontiers.ipm.ir/
Forwarded from گردهمايی پيوند
سومین گردهمایی پیوند
📅 سه‌شنبه ۱۶ مرداد
۹ تا ۱۸
🏛 تالار ابن هیثم، دانشکده فیزیک دانشگاه شهیدبهشتی
📌 ثبت‌نام:
peyvand.me
@peyvandgathering
سومین گردهمایی پیوند
📅 سه‌شنبه ۱۶ مرداد
۹ تا ۱۸
🏛 تالار ابن هیثم، دانشکده فیزیک دانشگاه شهیدبهشتی
📌 ثبت‌نام:
peyvand.me
@peyvandgathering
🧓 "Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares"
Book by Prof. Stephen P. Boyd (Stanford) and Prof. Lieven Vandenberghe (UCLA)
Available online

https://t.co/843XLv8xWD
🔅 "Reexamining the renormalization group: Period doubling onset of chaos" (new paper by Archishman Raju, James P Sethna): https://t.co/DdB1BAHDFX
🔖 A different approach to introducing statistical mechanics

Thomas A. Moore, Daniel V. Schroeder

🔗 https://arxiv.org/pdf/1502.07051.pdf

📌 ABSTRACT
The basic notions of statistical mechanics (microstates, multiplicities) are quite simple, but understanding how the second law arises from these ideas requires working with cumbersomely large numbers. To avoid getting bogged down in mathematics, one can compute multiplicities numerically for a simple model system such as an Einstein solid -- a collection of identical quantum harmonic oscillators. A computer spreadsheet program or comparable software can compute the required combinatoric functions for systems containing a few hundred oscillators and units of energy. When two such systems can exchange energy, one immediately sees that some configurations are overwhelmingly more probable than others. Graphs of entropy vs. energy for the two systems can be used to motivate the theoretical definition of temperature, T=(∂S/∂U)−1, thus bridging the gap between the classical and statistical approaches to entropy. Further spreadsheet exercises can be used to compute the heat capacity of an Einstein solid, study the Boltzmann distribution, and explore the properties of a two-state paramagnetic system.
Here is the paper presented by Barabasi at #ICCS2018:
Controllability of complex networks
https://t.co/3YklaJm78N