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Statistical Physics - Pattern Formation, Spin Glasses, Chemical Reaction Networks, Machine Learning, and Turbulence

International Centre for Theoretical Sciences via YouTube

Overview

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Explore advanced topics in statistical physics through this comprehensive lecture series from the International Centre for Theoretical Sciences covering six major research areas over multiple sessions. Delve into pattern formation in biology with Vijaykumar Krishnamurthy across five detailed lectures examining how complex biological structures emerge from simple rules and interactions. Master the intricacies of spin glasses and related systems through Chandan Dasgupta's five-lecture sequence covering disorder, frustration, and phase transitions in complex magnetic systems. Investigate chemical reaction networks with Supriya Krishnamurthy in five lectures exploring stochastic processes, network topology, and emergent behaviors in biochemical systems. Learn about stochastic gradient descent and its applications in machine learning through Praneeth Netrapalli's five lectures connecting optimization algorithms with statistical physics principles. Understand the statistical physics of turbulence with Jeremie Bec across five comprehensive sessions examining energy cascades, intermittency, and scaling laws in fluid dynamics. Study statistical physics of long-range systems with Stefano Ruffo in three lectures covering systems where interactions decay slowly with distance and their unique thermodynamic properties. Examine quantum systems with long-range interactions through Nicolo Defenu's two lectures exploring quantum phase transitions and many-body physics in systems with extended correlations.

Syllabus

Pattern Formation in Biology (Lecture 1) by Vijaykumar Krishnamurthy
Spin Glasses and Related Systems (Lecture 1) by Chandan Dasgupta
Chemical Reaction Networks (Lecture 1) by Supriya Krishnamurthy
Pattern Formation in Biology (Lecture 2) by Vijaykumar Krishnamurthy
Spin Glasses and Related Systems (Lecture 2) by Chandan Dasgupta
Chemical Reaction Networks (Lecture 2) by Supriya Krishnamurthy
Pattern Formation in Biology (Lecture 3) by Vijaykumar Krishnamurthy
Spin Glasses and Related Systems (Lecture 3) by Chandan Dasgupta
Chemical Reaction Networks (Lecture 3) by Supriya Krishnamurthy
Pattern Formation in Biology (Lecture 4) by Vijaykumar Krishnamurthy
Spin Glasses and Related Systems (Lecture 4) by Chandan Dasgupta
Chemical Reaction Networks (Lecture 4) by Supriya Krishnamurthy
Pattern Formation in Biology (Lecture 5) by Vijaykumar Krishnamurthy
Spin Glasses and Related Systems (Lecture 5) by Chandan Dasgupta
Chemical Reaction Networks (Lecture 5) by Supriya Krishnamurthy
Stochastic Gradient Descent and Machine Learning (Lecture 1) by Praneeth Netrapalli
Statistical Physics of Turbulence (Lecture 1) by Jeremie Bec
Statistical Physics of Long-range Systems(Lecture 1) by Stefano Ruffo
Stochastic Gradient Descent and Machine Learning (Lecture 2) by Praneeth Netrapalli
Statistical Physics of Turbulence (Lecture 2) by Jeremie Bec
Statistical Physics of Long-range Systems(Lecture 2) by Stefano Ruffo
Stochastic Gradient Descent and Machine Learning (Lecture 3) by Praneeth Netrapalli
Statistical Physics of Turbulence (Lecture 3) by Jeremie Bec
Statistical Physics of Long-range Systems (Lecture 3) by Stefano Ruffo
Statistical Physics of Turbulence (Lecture 4) by Jeremie Bec
Stochastic Gradient Descent and Machine Learning (Lecture 4) by Praneeth Netrapalli
Quantum Systems with Long-range interactions (Lecture 1) by Nicolo Defenu
Statistical Physics of Turbulence (Lecture 5) by Jeremie Bec
Quantum Systems with Long-range interactions (Lecture 2) by Nicolo Defenu
Stochastic Gradient Descent and Machine Learning (Lecture 5) by Praneeth Netrapalli

Taught by

International Centre for Theoretical Sciences

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