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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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risb.kweight package¶

k-space integrators.

Submodules¶

  • risb.kweight.from_triqs_hartree module
    • fermi()
    • update_mu()
  • risb.kweight.kweight module
    • SmearingKWeight
      • SmearingKWeight.beta
      • SmearingKWeight.energies
      • SmearingKWeight.mu
      • SmearingKWeight.n_k
      • SmearingKWeight.n_target
      • SmearingKWeight.update_weights()
      • SmearingKWeight.weight
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risb.kweight.from_triqs_hartree module
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risb.embedding.embedding_atom_diag module
Copyright © 2016-2023 H. L. Nourse and B. J. Powell, 2016-2022 R. H. McKenzie
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  • risb.kweight package
    • Submodules