Allow fetching of equi data if one dosn't converge
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1 changed files with 11 additions and 5 deletions
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@ -894,9 +894,10 @@ def get_equilibrium_data(path, atoms_per_formula_unit, eos=None):
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atoms, atom_num, atoms_dict = get_atoms(os.path.join(dir, 'POSCAR'))
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atoms, atom_num, atoms_dict = get_atoms(os.path.join(dir, 'POSCAR'))
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scaling_factor = sum(atom_num) / atoms_per_formula_unit
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scaling_factor = sum(atom_num) / atoms_per_formula_unit
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label = dir.split('/')[-1]
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label = os.path.basename(dir)
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dft_df = pd.read_csv(os.path.join(dir, 'energ.dat'), header=None, delim_whitespace=True)
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dft_df = pd.read_csv(os.path.join(dir, 'energ.dat'), header=None, delim_whitespace=True, index_col=0)
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dft_df.reset_index(drop=True, inplace=True)
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dft_df.columns = ['Volume', 'Energy']
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dft_df.columns = ['Volume', 'Energy']
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volume = dft_df["Volume"].to_numpy() / scaling_factor
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volume = dft_df["Volume"].to_numpy() / scaling_factor
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@ -904,10 +905,15 @@ def get_equilibrium_data(path, atoms_per_formula_unit, eos=None):
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p0 = get_initial_guesses(volume, energy)
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p0 = get_initial_guesses(volume, energy)
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equilibrium_constants = fit_eos_curve(volume, energy, p0, eos)
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try:
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e0, v0, b0, bp = equilibrium_constants[0], equilibrium_constants[1], equilibrium_constants[2], equilibrium_constants[3]
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equilibrium_constants = fit_eos_curve(volume, energy, p0, eos)
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data.append([label, e0, v0, b0/kJ*1e24, bp])
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e0, v0, b0, bp = equilibrium_constants[0], equilibrium_constants[1], equilibrium_constants[2], equilibrium_constants[3]
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data.append([label, e0, v0, b0/kJ*1e24, bp])
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except:
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data.append([label, None, None, None, None])
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df = pd.DataFrame(data)
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df = pd.DataFrame(data)
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