kumarjnc Goto Github PK
Name: PK
Type: User
Company: Aalto University
Bio: Postdoctoral Researcher in the Department of Applied Physics, Aalto university
Location: Helsinki
Name: PK
Type: User
Company: Aalto University
Bio: Postdoctoral Researcher in the Department of Applied Physics, Aalto university
Location: Helsinki
Code to calculate dispersion, density of state (DOS), local density of state (LDOS) of decorated lattices solving tight binding models
The two python notebook utilized neural network to train the data from DMFT and exact diagonalization to predict the more accurate green's functions which furyher can be used to calculate the different physical property
Dynamical mean-field theory (DMFT) combined with the local moment approach (LMA) module to calculate dynamic and Transport properties of periodic Anderson Model
This python module calculates the topological invariant of 2 dimensional quantum hall systems in a computationally efficient way. Additionally, it also gives the edge states. Bulk boundary correspondence can be verified.
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