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Lecture: Recurrent neural networks for many-body physics
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Classroom Contents
The Hitchhiker's Guide to Condensed Matter and Statistical Physics - Machine Learning for Condensed Matter
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- 1 The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed M
- 2 The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed M
- 3 The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed M
- 4 Basic Notions: Computing thermodynamic and transport properties using machine learning potentials
- 5 Lecture: Computing thermodynamic and transport properties using machine learning potentials
- 6 Basic Notions: Machine learning many-body quantum physics
- 7 Lecture: Machine learning many-body quantum physics
- 8 Basic Notions: Recurrent neural networks for many-body physics
- 9 Lecture: Recurrent neural networks for many-body physics
