Neural Network Approach to Quasiparticle Dispersions in Doped Antiferromagnets
Offered By: ICTP Condensed Matter and Statistical Physics via YouTube
Course Description
Overview
Explore a 28-minute lecture on the neural network approach to quasiparticle dispersions in doped antiferromagnets, presented by Hannah Lange from Ludwig Maximilian University Munich, Germany. Delve into advanced concepts in condensed matter and statistical physics as part of the ICTP Condensed Matter and Statistical Physics series. Gain insights into the application of neural networks in understanding complex quantum systems and their behavior in antiferromagnetic materials.
Syllabus
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
Физика как глобальный проектNational Research Nuclear University MEPhI via Coursera Advanced statistical physics
École Polytechnique Fédérale de Lausanne via edX Insights on Gradient-Based Algorithms in High-Dimensional Learning
Simons Institute via YouTube Statistical Physics and Computation in High Dimension
Simons Institute via YouTube Computing Partition Functions, Part I
Simons Institute via YouTube