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.
Neural Network Approach to Quasiparticle Dispersions in Doped Antiferromagnets
ICTP Condensed Matter and Statistical Physics via YouTube
Overview
Syllabus
Neural network approach to quasiparticle dispersions in doped antiferromagnets
Taught by
ICTP Condensed Matter and Statistical Physics
Related Courses
-
Is the Ground State of Anderson's Impurity Model a Recurrent Neural Network?
-
Nonthermal Electronic Orders in Photo-Doped Mott Systems
-
Quantum Many-Body Simulations Using Artificial Neural Networks
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Lecture 1
-
Investigating the Optimization Landscape of Neural-Network Quantum States
-
Simulation of Quantum Many-Body Systems with Neural Quantum States - Part 3
