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The 17th KIAS-APCTP Winter School on Statistical Physics
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2020-01-03 [09:19]
The 17th KIAS-APCTP Winter School on Statistical Physics

VENUE POSTECH International Research Laboratories, Pohang
PERIOD 1.13(Mon.) – 1.17(Fri.), 2020
 
PROGRAM

 Statistical mechanics provides a powerful tool for understanding macroscopic systems on the basis of microscopic laws governing the dynamics of their constituents. Its ever-increasing use is not limited to physical sciences but extends to biological and social sciences. This annual event is intended to provide graduate students and early-career scientists in statistical physics and related disciplines with the conceptual framework and analytical tools for advanced studies in statistical physics and interdisciplinary research.

 

TOPICS 

 Thematic focus of the 17th School is on machine learning for statistical physics in practice. 15 hours of lectures by three invited lecturers will be devoted to learn, with emphasis in practice of concrete implementations, how the core concepts and skills of machine/deep learning can help studying statistical physics problems. Three lecture series (5 hours each) will be given under the tentative titles 
- Machine Learning in Practice (with SciKit-Learn & Keras) (IHL)- Machine Learning for Study of Phase Transitions (JWL)- Reservoir Computing for Study of Chaotic Systems (SWS)

 

INVITED LECTURERS 


 

ORGANIZERS


 

CONTACT


 

SPONSORS
APCTP
KIAS
KPS Statistical Physics 

 

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