### Read and write Quantum ESPRESSO input files Source: https://github.com/atomology/quantumespressoio.jl/blob/main/README.md Demonstrates reading a pw.in file into a dictionary-like structure and writing it back to a new file. ```julia using QuantumEspressoIO julia> pw = read_pw_in("pw.in") julia> pw["atomic_positions"]["atoms"] 2-element Vector{String}: "Si" "Si" julia> write_pw_in("pw2.in", pw) ``` -------------------------------- ### Write pw.x Input Files with QuantumEspressoIO Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Generates Quantum ESPRESSO pw.x input files from Julia dictionaries. Use OrderedDict to maintain parameter order. Supports writing to files or IO streams. ```julia using QuantumEspressoIO using OrderedCollections inputs = OrderedDict( "control" => OrderedDict( "calculation" => "scf", "prefix" => "SiO2", "outdir" => "./out", "pseudo_dir" => "./pseudo", ), "system" => OrderedDict( "ibrav" => 0, "nat" => 3, "ntyp" => 2, "ecutwfc" => 40.0, "ecutrho" => 400.0, ), "electrons" => OrderedDict( "conv_thr" => 1e-8, "mixing_beta" => 0.7, ), "atomic_species" => Dict( "species" => ["Si", "O"], "masses" => [28.0855, 15.999], "pseudos" => ["Si.upf", "O.upf"], ), "atomic_positions" => Dict( "option" => "crystal", "atoms" => ["Si", "O", "O"], "positions" => [ [0.0, 0.0, 0.0], [0.25, 0.25, 0.25], [0.75, 0.75, 0.75], ], ), "cell_parameters" => Dict( "option" => "angstrom", "cell" => [ [4.91, 0.0, 0.0], [0.0, 4.91, 0.0], [0.0, 0.0, 5.40], ], ), "k_points" => Dict( "option" => "automatic", "kgrid" => [6, 6, 4], "kgrid_shift" => [0, 0, 0], ), ) # Write to file write_pw_in("pw.in", inputs) # Or write to stdout/IOBuffer write_pw_in(stdout, inputs) # Output: # &control # calculation = 'scf' # prefix = 'SiO2' # outdir = './out' # pseudo_dir = './pseudo' # / # &system # ibrav = 0 # nat = 3 # ntyp = 2 # ecutwfc = 40.0 # ecutrho = 400.0 # / # ... ``` -------------------------------- ### Read Projected Density of States Files Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Reads output files from QE's projwfc.x for projected density of states (PDOS) analysis. Supports reading projection coefficients, total PDOS, and atom-projected PDOS. The data can be used for plotting and detailed analysis of electronic states. ```julia using QuantumEspressoIO: read_projwfc_up, read_pdos_tot, read_pdos_atm, read_projwfc_dos # Read projwfc_up file (contains projection coefficients) # params, orbitals, projections = read_projwfc_up("projwfc.projwfc_up") # Read total PDOS file # columns, header = read_pdos_tot("prefix") # reads prefix.pdos_tot # Read atom-projected PDOS files # pdos_data = read_pdos_atm("prefix") # Example: plotting PDOS # columns, header = read_pdos_tot("silicon") # energy = columns[:, 1] # total_dos = columns[:, 2] # # Use your favorite plotting library # # plot(energy, total_dos, xlabel="Energy (eV)", ylabel="DOS") ``` -------------------------------- ### Read Fortran Namelists with QuantumEspressoIO Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Handles generic Fortran namelist files, useful for various Quantum ESPRESSO programs. Can optionally return remaining lines after parsing namelists. ```julia using QuantumEspressoIO using OrderedCollections # Reading namelists from a file io = IOBuffer(""" &bands prefix = 'silicon' outdir = './out' filband = 'bands.dat' lsym = .true. / additional content here ") # Read namelists, optionally returning remaining lines namelists, others = read_namelists(io; all_lines=true) println(namelists["bands"]["prefix"]) # "silicon" println(namelists["bands"]["lsym"]) # true println(others) # ["additional content here"] ``` -------------------------------- ### Read and Write Namelists Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Demonstrates reading a single namelist from an IOBuffer and writing a structured OrderedDict of namelists to standard output. Ensure the input namelist format is correct for reading. ```julia using QuantumEspressoIO using DataStructures: OrderedDict # Read a single namelist by name io = IOBuffer(""" &input a = 1 b = 2.5 c = 'test' d = .true. / """) params = read_namelist(io, "input") println(params["a"]) println(params["b"]) println(params["c"]) println(params["d"]) # Writing namelists inputs = OrderedDict( "control" => OrderedDict("calculation" => "scf", "prefix" => "qe"), "system" => OrderedDict("ecutwfc" => 30.0, "ecutrho" => 300.0), "electrons" => OrderedDict("mixing_beta" => 0.7), ) write_namelists(stdout, inputs) ``` -------------------------------- ### Read pw.x Input Files with QuantumEspressoIO Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Parses Quantum ESPRESSO pw.x input files, extracting namelists and cards. Use this function to programmatically access data from existing input files. ```julia using QuantumEspressoIO # Read from an IOBuffer (or use a filename string directly) io = IOBuffer(""" &control calculation = \"scf\" prefix = \"silicon\" outdir = \"./tmp\" pseudo_dir = \"./pseudo\" / &system ibrav = 0 nat = 2 ntyp = 1 ecutwfc = 30.0 / &electrons conv_thr = 1e-8 / ATOMIC_SPECIES Si 28.0855 Si.upf ATOMIC_POSITIONS crystal Si 0.0000000000 0.0000000000 0.0000000000 Si 0.2500000000 0.2500000000 0.2500000000 CELL_PARAMETERS angstrom 5.43 0.00 0.00 0.00 5.43 0.00 0.00 0.00 5.43 K_POINTS automatic 8 8 8 0 0 0 ") inputs = read_pw_in(io) # Access parsed data println(inputs["control"]["calculation"]) # "scf" println(inputs["system"]["ecutwfc"]) # 30.0 println(inputs["atomic_species"]["species"]) # ["Si"] println(inputs["atomic_positions"]["atoms"]) # ["Si", "Si"] println(inputs["atomic_positions"]["positions"]) # [[0.0, 0.0, 0.0], [0.25, 0.25, 0.25]] println(inputs["cell_parameters"]["cell"]) # [[5.43, 0.0, 0.0], [0.0, 5.43, 0.0], [0.0, 0.0, 5.43]] println(inputs["k_points"]["kgrid"]) # [8, 8, 8] ``` -------------------------------- ### QuantumEspressoIO Band Structure Module Source: https://github.com/atomology/quantumespressoio.jl/blob/main/docs/src/api/band.md Documentation for the band structure module within the QuantumEspressoIO package. ```APIDOC ## QuantumEspressoIO Band Structure Module ### Description This module provides functionality for handling band structure data within the QuantumEspressoIO package. ### Module QuantumEspressoIO.band ### Usage This module is part of the QuantumEspressoIO ecosystem and is used to parse and manipulate band structure output files from Quantum Espresso calculations. ``` -------------------------------- ### Read Quantum Espresso XML Output Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Parses the data-file-schema.xml file generated by Quantum Espresso's pw.x. This function extracts comprehensive calculation results including lattice, atomic structure, k-points, Fermi energy, and eigenvalues. The output is a NamedTuple. ```julia using QuantumEspressoIO: read_pw_xml # Read XML output from pw.x calculation # result = read_pw_xml("prefix.save/data-file-schema.xml") # Example usage after reading: # println("Lattice vectors (Angstrom):") # println(result.lattice) # println("Fermi energy: $(result.fermi_energy) eV") # println("Number of k-points: $(length(result.kpoints))") # println("Band energies at Gamma: $(result.eigenvalues[1])") ``` -------------------------------- ### Read Quantum Espresso Binary Wavefunction Files Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Reads Quantum Espresso's binary wavefunction files (wfc.dat). This function returns Miller indices for G-vectors and a list of complex coefficients for each band. The output is suitable for further analysis of electronic wavefunctions. ```julia using QuantumEspressoIO: read_wfc_dat # Read wavefunction data from binary file # miller, evc_list = read_wfc_dat("wfc1.dat") # Example usage: # println("Number of G-vectors: $(size(miller, 2))") # println("Number of bands: $(length(evc_list))") # println("First band coefficients: $(evc_list[1][1:5])") ``` -------------------------------- ### Read Band Structure Data Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Reads band structure data from a string buffer or file generated by QE's bands.x. Also shows how to identify high-symmetry k-points from a given path. Ensure the input format matches the expected structure. ```julia using QuantumEspressoIO: read_band_dat, guess_high_symmetry_kpoints # Read band data from bands.x output io = IOBuffer("""&plot nbnd= 4, nks= 3 / 0.0 0.0 0.0 -5.5 -1.2 3.4 5.6 0.25 0.0 0.0 -5.4 -1.1 3.5 5.7 0.5 0.0 0.0 -5.2 -0.9 3.7 5.9 """) result = read_band_dat(io) println(result.kpoints) println(result.eigenvalues) # Identify high-symmetry points in k-path kpoints = [ [0.0, 0.0, 0.0], # Gamma [0.1, 0.0, 0.0], [0.2, 0.0, 0.0], [0.5, 0.0, 0.0], # X (turn point) [0.5, 0.1, 0.0], [0.5, 0.5, 0.0], # M ] symm_indices = guess_high_symmetry_kpoints(kpoints) println(symm_indices) ``` -------------------------------- ### Parse open_grid.x Output Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Parses k-point grids and weights from open_grid.x output for use in Wannier90. ```julia using QuantumEspressoIO io = IOBuffer(""" EXX: q-point mesh: 4 4 4 EXX: setup a grid of 64 q-points centered on each k-point List to be put in the .win file of wannier90: (already in crystal/fractionary coordinates): 0.000000000000000 0.000000000000000 0.000000000000000 0.0156250000 0.000000000000000 0.000000000000000 0.250000000000000 0.0156250000 0.000000000000000 0.250000000000000 0.000000000000000 0.0156250000 0.250000000000000 0.000000000000000 0.000000000000000 0.0156250000 """) ``` -------------------------------- ### Extract Relaxed Structures from pw.x Source: https://context7.com/atomology/quantumespressoio.jl/llms.txt Extracts cell parameters and atomic positions from pw.x relaxation or molecular dynamics output files. ```julia using QuantumEspressoIO: read_structures ``` === COMPLETE CONTENT === This response contains all available snippets from this library. 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