Advanced Computational Methods in Physics D
Aalto University
<ol><li>Classical molecular and magnetic dynamics</li><li><ol><li>Basic theory of molecular and magnetic dynamics</li><li>Time-dependent simulations and correlation functions</li><li>Static and dynamical phase transitions in classical models</li><li>Machine learning of static and dynamical phase transitions</li><li>Independent work</li></ol></li><li>Density Functional Theory</li><li><ol><li>Basic theory and limitations</li><li>Simulations and high-throughput workflow</li><li>Neural networks and neural network potentials</li><li>Practical fitting of neural network potential and simulation benchmarks</li><li>Independent work</li></ol></li><li>Matrix product states and tensor networks</li><li><ol><li>Basic theory of tensor networks and density matrix renormalization algorithm</li><li>Simulation of 1D quantum many-body models</li><li>Quantum phase transitions and many-body correlators</li><li>Machine learning quantum phase transitions</li><li>Independent work</li></ol></li></ol>
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Course dates
02 September 2025 - 25 November 2025
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Course organizer
Adam Foster, Jose Lado, Andrea Sand, Ondrej Krejci
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Place/Venue
School of Science / Department of Applied Physics
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City
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Country
Finland
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Workload
5
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Link
https://mycourses.aalto.fi/course/search.php?...
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