Tutorials

The tutorial notebook below walks through the full TLC workflow:

• Shockley-Queisser limit — radiative efficiency for a given band gap

• Realistic absorption — using a DFT-calculated absorption coefficient

• Trap-limited conversion — including SRH defect recombination

• Plotting — composable matplotlib plots with ax=

• Parameter sweeps — collecting results with to_dataframe()

The alpha input accepts a file path (str/Path), a pd.DataFrame with columns E (energy in eV) and alpha (absorption coefficient in cm^-1), or a NumPy array of shape (N, 2).

For integration with doped, see defect_data_from_doped() in the API reference.

• Detailed balance limit (Shockley-Queisser limit)
• Radiative limit based on thickness-dependent absorptivity
• Trap-limited conversion efficiency
• Plotting functions
• Parameter sweep
• Using doped for carrier concentrations