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🎞 Statistical Mechanics (PSI 13/14, Core, PHYS 602) - Anton Burkov (University of Waterloo)

https://www.youtube.com/playlist?list=PLFMKfDJ8QzbNzBPtYEQiOdjZjvA29_Orm

Lecture 1 Introduction to phase transitions, the Ising model, Mean Field Theory (MFT)

Lecture 2 Critical exponents α, β, γ, δ out of MFT, Hubbard-Stratonovich Transformation

Lecture 3 Spin-spin correlation function; calculation in the functional integral formalism and in MFT

Lecture 4 Calculation of the correlation function in the MFT through Fourier transform; Fluctuations

Lecture 5 Corrections in Cv from fluctuations, Ginzburg criterion, Landau-Ginzburg theory

Lecture 6 Wilsonian RG: fast and slow modes

Lecture 7 Calculation of the first cumulant; the Gaussian fixed point; Feynman diagrams

Lecture 8 Calculation of the 2nd cumulant; Wilson-Fisher fixed point; linearized flow around the Gaussian fixed point

Lecture 9 Linearized flow around fixed points; calculation of critical exponents from RG

Lecture 10 Mermin-Wagner theorem, lower critical dimension

Lecture 11 Results of 2+ε expansion; Topological order in d=2

Lecture 12 Electrostatic analogy, Duality transformation of the XY model

Lecture 13 & 14 Renormalization Group (RG) for the sine-Gordon model

این آقای بورکُف(اگر درست خوانده باشم) چند کار مهم در زمینه‌ی فرمیون‌های وایل
(Weyl fermions)
کرده است.

این مقاله یک مرور خیلی کلی روی استفاده از شبکه‌های عصبی به عنوان یک تابع موج برای حالت پایه و‌ حتی برخی حالات برانگیخته‌‌ی یک سیستم کوانتومی می‌کنه. نویسنده‌ی اول، راجر مِلکو است که خودش جزو اولین‌ها در استفاده از این روش است.

توضیحات مقاله خیلی کلی است، اما به نظرم لیست مراجع ارزشمندی داره.

توجه کنید که به دو روش(تا جایی که من می‌دونم) میشه از هوش مصنوعی استفاده کرد(اینجا به هر دو اشاره میشه):

راه اول این است که شما شبکه را با تصاویری از فازها در حالات حدی تغذیه می‌کنید و بعد سعی می‌کنید گذار فاز رو با استفاده از شبکه پیدا کنید. مثلن به نحوی از تابع همبستگی یک تصویر می‌سازید، و این را به شبکه می‌دهید.

راه دوم استفاده، روش وردشی و استفاده از شبکه برای نمایش تابع موج سیستم بس‌ذره‌ای است. این می‌شود شبیه به کاری که با
Matrix Product States
می‌کنیم. به ارتباط بین این دو‌نمایش هم تو این مقاله اشاره شده.

نگاهی به کتاب «فرمول: قوانین جهان‌شمول موفقیت» باراباشی

http://www.sitpor.org/2019/07/the-formula/

آلبرت لازلو باراباشی، یک دانشمند شبکه معروفه که اخیرا پروژه‌ای به اسم «علم موفقیت» در دپارتمان «علم شبکه» دانشگاه نورث‌ایسترن شروع کرده. منظور از علم موفقیت، بررسی افراد، شرکت‌ها، کسب‌وکارها و … به صورت کمی برای رسیدن به تحلیل‌های داده‌محور از موفقیت اون‌هاست. خلاصه که کارشون استفاده از روش علمی برای مطالعه میزان موفقیت افراد یا شرکت‌ها در موضوعات مختلفه. باراباشی تجربیات پژوهشی پروژه علم موفقیت رو در کتاب عامه‌پسندی به اسم «The Formula: The Universal Laws of Success» منتشر کرده. این نوشته کوتاه، نظر من در مورد این کتابه.

http://www.sitpor.org/2019/07/the-formula/

#سمینارهای_هفتگی_محتوا

فرآیند تولید نوسانات مغزی و نقش احتمالی آنها در کارکردهای سیستم عصبی

🗣 دکتر علیرضا ولی‌زاده
دانشگاه تحصیلات تکمیلی علوم پایه زنجان

🎞 https://www.aparat.com/v/TwD2c
‌~~~~~~~~~~~~~~~~~
🔗 سخنرانی‌های بیشتر در:
https://ccnsd.ir/events-news/weekly-seminars/

🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

🕸 @CCNSD 🔗 ccnsd.ir
~~~~~~~~~~~~~~~~~

#سمینارهای_هفتگی_محتوا

«حالت‌های شبه پایدار در فیزیک و کاربرد آن در اقتصاد»
🗣 محمد بهرامی - دانشگاه شهید بهشتی

🎞 https://www.aparat.com/v/q9Fyo
‌~~~~~~~~~~~~~~~~~
🔗 سخنرانی‌های بیشتر در:
https://ccnsd.ir/events-news/weekly-seminars/

🕸 مرکز شبکه‌های پیچیده و علم داده اجتماعی دانشگاه شهید بهشتی

🕸 @CCNSD 🔗 ccnsd.ir
~~~~~~~~~~~~~~~~~

📢 The 41st Conference on #StochasticProcesses and their Applications 2019 (SPA 2019)
⏰ 8–12 July 2019
📍 Chicago, IL, USA
https://t.co/HGgz2Y8g0c

More related conferences: https://t.co/QsT67x9JQh

🎬 Universal Biology, the Genetic Code and the First Billion Years of Life on Earth

Dr. Nigel Goldenfeld
University of Illinois at Urbana-Champaign

https://www.youtube.com/watch?v=ACdJ4uS2ULQ

This colloquium concerns two ideas. First, that there are universal laws of life, which can be deduced by abstracting what we know about life on Earth. Second, universal dynamical signatures of early life, preceding even the last universal common ancestor of all life on Earth, are present in the structure of the modern day canonical genetic code --- the map between DNA sequence and amino acids that form proteins. The code is not random, as often assumed, but instead is now known to have certain error minimisation properties. How could such a code evolve, when it would seem that mutations to the code itself would cause the wrong proteins to be translated, thus killing the organism? Using digital life simulations, I show how a unique and optimal genetic code can emerge over evolutionary time, but only if early life was dominated by collective effects, very different from the present era where individuals and species are well-defined concepts. I will also discuss a second universal signature of life: the complete breaking of chiral symmetry in biological amino acids and sugars, and explain how such transitions can arise in principle as a result of the non-equilibrium dynamics of early-life autocatalytic replicators.

🎬 Beyond Chaos: The Continuing Enigma of Turbulence - KITP Public Lecture by Nigel Goldenfeld

https://www.youtube.com/watch?v=LW1C-HVJN-o

Turbulence is the last great unsolved problem of classical physics. This seemingly random, unpredictable motion of fluids is pervasive and completely familiar to us all. Turbulence governs the speed at which rivers flow and the air drag as you drive your car; it is the bane of air travelers. Turbulence can kill, by causing arteries and aneurisms to burst. Turbulence makes stars twinkle. Its random but structured patterns have inspired artists and scientists alike. And yet, despite a century of scientific investigation, our understanding is primarily based upon a mere handful of early seminal insights. In this talk, I'll try to explain why this problem is so difficult — much harder than chaos — and what it would mean to solve it. Finally, I'll discuss recent dramatic advances in both experiment and theory that account for the way in which fluids start to become turbulent as their flow speed is increased, making precise mathematical contact with transitional behavior in other fields such as ecology and even neuroscience.

At the precise moment when a random system seems most chaotic, exquisite geometric order can peer through.
https://t.co/qMo090Yyfm

⚔ http://nautil.us/blog/why-our-postwar-long-peace-is-fragile

🤔 Getting started with Python in HPC https://t.co/vAecAaTqsI

Quantum Field Theory and Critical Phenomena

Fourth Edition
Jean Zinn-Justin

A Clarendon Press Publication
International Series of Monographs on Physics

Completely revised fourth edition of a classic text
Fully updated, containing 50% new material, including three new chapters
Emphasis on common aspects of particle physics and critical phenomena
Provides profound understanding of QFT, renormalization group, and their main applications in physics
Website for exercises

Phase Transitions and Renormalization Group
Jean Zinn-Justin
Oxford Graduate Texts

Elementary, authoratative introduction by experienced teacher and author
Central topic in theoretical physics today
Covers mean-field theory, critical phenomena, renormalization group, continuum limit, perturbative methods
Based on many years of teaching experience

From Random Walks to Random Matrices
Jean Zinn-Justin

Introduces major topics in modern theoretical physics
Features short introductions in self-contained chapters
Covers renormalization group, fixed points, universality, continuum limit
Authoritative overviews by an experienced author and teacher

🔸 Critical Phenomena: field theoretical approach

http://www.scholarpedia.org/article/Critical_Phenomena:_field_theoretical_approach

David Tong: Lectures on Statistical Field Theory

These lecture notes provide a detailed introduction to phase transitions and the renormalisation group, aimed at "Part III" (i.e. masters level) students. The lecture notes come in around 130 pages and can be downloaded below.

http://www.damtp.cam.ac.uk/user/tong/sft.html