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karpur-shukla/heisenberg_model-py - GitHub
This is a two-dimensional (N-by-M) Ising model with first-nearest-neighbour interactions, which provides histograms of the resulting average total magnetisations and average total energies . This recreates the weighted histogram analysis method (WHAM) seen in A. Ferrenberg & R. … See more
This is a repository for all of my code related to the Heisenberg model in statistical mechanics, as implemented in Python 2.7.12 (using NumPy, SciPy, and matplotlib). This repository contains the following files: See more
This is a two-dimensional (N-by-M) Ising model with first-nearest-neighbour interactions, which performs real-space renormalisations of the lattice and examines the … See more
This is a two-dimensional (N-by-M) Ising model with no nearest-neighbour interactions. Since we have no nearest-neighbour interactions, the partition function can be … See more
This is a two-dimensional (N-by-M) Ising model with first-nearest-neighbour interactions. The script permits anisotropy by specifying distinct values for the x-directional and y-directional couplings. See more
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Heisenberg: a program to the matrix calculation of the …
WEB10 rows · Heisenberg. This is a python program that evaluates the …
heisenberg-model · GitHub Topics · GitHub
WEBMay 28, 2024 · Implementations of the Heisenberg model in statistical mechanics, done in Python 2.7.12 (with NumPy, SciPy, and matplotlib).
Heisenberg Model — block2 documentation - Read the Docs
WEBIntroduction. In this tutorial we explain how to solve the Heisenberg model using the python interface of block2. First, we have to define the “site-spin” of the model. The …
Exact Diagonalization for the 1D Heisenberg Chain
WEBDec 21, 2018 · Exact Diagonalization for the 1D Heisenberg Chain. 9 minute read. Ground State Eigenvector. The Heisenberg model is …
Heisenberg Model - Google Colab
WEBIn this tutorial we explain how to solve the Heisenberg model using the python interface of block2. First, we have to define the "site-spin" of the model. The parameter heis_twos …
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Ground-State: Heisenberg model — NetKet - Read the Docs
WEBThe goal of this tutorial is to review various neural network architectures available in NetKet, in order to learn the ground-state of a paradigmatic spin model: the spin-\(1/2\) …
Heisenberg’s Uncertainty Principle With Python - Medium
WEBNov 6, 2022. Photo by Scott Umstattd on Unsplash. About this series: Applying the Python scientific stack to real-world problems requires a lot of practice. To help you on your …
WEBIn the and Python convention where indices start with zero, we should use 𝐼2𝑚⊗ℋ2⊗𝐼 2𝑁spins−(𝑚+2). [ ]: def Heisenberg(nS): Ham = …
1.5. J1-J2 Heisenberg model — HΦ Tutorial documentation
WEBHere, we solve the J 1 − J 2 Heisenberg model on the square lattice, which is a canonical example of the frustrated magnets. Its Hamiltonian is defined as. (1.7) ¶ H = J 1 ∑ i, j S i …
Heisenberg Hamiltonian 2-Spin Terms in Matrix Representation
WEBJul 11, 2019 · 1 Answer. Sorted by: 2. Matrix representation of the operator H H is constructed from its matrix elements: Hαβ = α|H|β . H α β = α | H | β . In this case, for …
Heisenberg Model python : Specific heat capacity for spin 2
WEBAug 12, 2019 · Heisenberg Model python : Specific heat capacity for spin 2. Ask Question. Asked 4 years, 9 months ago. Modified 4 years, 9 months ago. Viewed 491 times. 2. I …
WEB1. Introduction. 2. The model. 3. The partition function as a tensor network. 3.1 Application to the one-dimensional Heisenberg chain. 3.2 Application to the two-dimensional …
a python package for computing magnetic interaction parameters
WEBTB2J is a open source python package for calculating the magnetic interaction parameters in Heisenberg models from DFT. It use the magnetic force theorem and take the local …
WEBsystem. An exact diagonalization of the XXZ Heisenberg Hamiltonian is then used to compute the energy eigenvectors and eigenvalues. The model is trained to identify the …
Infinite DMRG algorithm for the Heisenberg chain
WEBCalculate the ground state energy of the antiferromagnetic Heisenberg model for a chain of spins using the infinite version of the DMRG algorithm. You should be able to pass the …
High-throughput discovery of high Curie point two-dimensional ...
WEBApr 8, 2020 · In this work, we develop a fully automated, hardware-accelerated, dynamic-translation based computer code, which performs first principles-based computations …
Monte Carlo simulation for the classical isotropic 3D Heisenberg …
WEBJul 2, 2023 · In summary, the conversation involves the implementation of a Monte Carlo simulation for the isotropic 3D Heisenberg model using Python. The code includes …
The Heisenberg model - Book chapter - IOPscience
WEBAbstract. In chapter 1, the Heisenberg model is introduced and the ground state of the ferromagnet and the antiferromagnet is discussed. A short introduction to the Hubbard …
WEBOctober 11, 2021. Abstract. The classical Heisenberg model in two spatial dimensions constitutes one of the most paradigmatic spin models, taking an important role in …
heisenberg-model · GitHub Topics · GitHub
WEBAug 12, 2015 · Pull requests. Implementations of the Heisenberg model in statistical mechanics, done in Python 2.7.12 (with NumPy, SciPy, and matplotlib). statistical …
Classical Heisenberg model - Wikipedia
WEBDefinition. Properties. One dimension. Two dimensions. Three and higher dimensions. See also. References. External links. Classical Heisenberg model. The Classical …
heisenberg-model · GitHub Topics · GitHub
WEBApr 30, 2024 · Implementations of the Heisenberg model in statistical mechanics, done in Python 2.7.12 (with NumPy, SciPy, and matplotlib).
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