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risb 0.1.2
risb 0.1.2
  • Install
  • About
  • How-to guides
    • Constructing tight-binding models
    • Using SmearingKWeight
    • Using DIIS
    • Using projectors
    • Using embedding classes
    • UsingLatticeSolver
  • Tutorials
    • Brinkman-Rice metal-insulator transition
    • Multiple clusters on the kagome lattice
    • Constructing the RISB self-consistent loop
  • Explanations
    • About k-integration
    • About projectors
    • About the embedding Hamiltonian

API Docs

  • risb package
    • risb.embedding package
      • risb.embedding.dummy module
      • risb.embedding.embedding_atom_diag module
    • risb.kweight package
      • risb.kweight.from_triqs_hartree module
      • risb.kweight.kweight module
    • risb.optimize package
      • risb.optimize.diis module
      • risb.optimize.linear_mixing module
      • risb.optimize.solver_newton module
    • risb.helpers module
    • risb.helpers_triqs module
    • risb.solve_lattice module
    • risb.version module
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ExplanationsΒΆ

Some theory and justification for design choices.

  • About k-integration
  • About projectors
  • About the embedding Hamiltonian
    • Fast track of theory
    • Exact diagonalization
    • DMRG
    • Obvious other avenues
    • To interface with our code
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About k-integration
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Constructing the RISB self-consistent loop
Copyright © 2016-2023 H. L. Nourse and B. J. Powell, 2016-2022 R. H. McKenzie
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