Using Neural networks to compute topological invariants in insulators
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Updated
Oct 12, 2020 - Python
Using Neural networks to compute topological invariants in insulators
Julia package for numerics (ED and DMRG) on the fuzzy sphere
Calculating the pseudo spin phase transition in metal halide perovskites
Welcome to my Quantum Information and Condensed Matter Notes repository! This collection of LaTeX notes encompasses a wide range of topics, including Quantum Information and Quantum Field Theory with applications to Condensed Matter Physics, and other Mathematical Topics
Numerical results related to Condensed Matter Models, namely Hofstadter-Kapit-Mueller-Bose-Hubbard (a lot of names!) models.
This Repo includes the Coulomb blockaded conductance calculation, data-processing, and plotting codes for the paper (arXiv: 2104.00659).
Floquet real-time renormalization group implemention in python for the single channel Kondo model
Undergraduate thesis project
Computational Physics package/workflow under constant development. Easy to develop, easy to use. Plotting included
Processes your resisitivity vs magnetic field for n differ temperature measurements.
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