Semiconductor Characterisation Techniques

Interactive Jupyter notebooks that explain the physical principles behind common semiconductor / solar-cell characterisation techniques, worked through from first principles with equations, short code examples, and plots of model data.

Each technique has:

• a Jupyter notebook (runnable locally or in Google Colab) with the full derivation, code, and plots,
• a helper Python module with the underlying physics functions, kept separate so the notebook itself stays short and readable,
• a page on this site, which is that notebook — the same explanations, numbered equations, code cells and figures, rendered for reading without running anything.

Techniques

Technique	What it extracts	Notebook	Docs
Transfer Length Method (TLM)	Sheet resistance, contact resistance, transfer length, specific contact resistivity	TLM/tlm_analysis.ipynb	TLM
External Quantum Efficiency (EQE)	Spectral response, absorption/collection behaviour, short-circuit current density	EQE/eqe_analysis.ipynb	EQE
Kelvin Probe & Surface Photovoltage (KP/SPV)	Work function, contact potential difference, surface band bending, dielectric charge, surface passivation quality	KPSPV/kpspv_analysis.ipynb	KP/SPV
Capacitance-Voltage & Conductance-Voltage (C-V/G-V)	Doping profile, flat-band and threshold voltage, oxide/interface charge, interface trap density, series resistance	CGV/cgv_analysis.ipynb	C-V/G-V

See the repository README for Google Colab links and setup instructions.