Home Examples Screenshots User manual

Download

Windows Ubuntu

Documents

User manual Slides and Videos Educators Publications Why OghmaNano

Fitting the Model to Experimental Data

OghmaNano’s fitting tools allow you to connect simulations directly to your measurements — transforming raw experimental data into meaningful physical parameters. By fitting the model to steady-state or transient measurements, you can extract quantities such as charge carrier mobility, recombination coefficients, trap densities, and energetic disorder parameters. The optimisation framework supports multi-parameter fitting, allowing several physical parameters to be extracted simultaneously. These algorithms work with drift–diffusion models, circuit-level models, or any other supported physical model in OghmaNano — giving you a unified fitting workflow across different simulation domains.

Key Features:

• Multi-parameter extraction — fit several physical constants at once, such as mobility, recombination constants, trap density, and more.
• Easy-to-use interface for importing experimental data from .txt, .csv, or .dat files.
• Fast, robust optimisation using the downhill simplex (Nelder–Mead) algorithm for reliable convergence without needing derivatives.
• Fit to steady-state (e.g., JV curves, Suns–Voc) or time-domain (e.g., TPV, TPC, CELIV) datasets.
• Real-time visualisation — watch simulated curves evolve as the fit progresses, allowing instant feedback on convergence.
• Multi-dataset global fitting — fit multiple measurements from the same device simultaneously to extract a single, self-consistent set of physical parameters.
• Parameter constraints — fix known values or set realistic bounds to guide fitting and avoid unphysical results.
• Export fitted parameters and final simulated curves for reporting or further analysis.

By combining experimental data with physics-based modelling, OghmaNano enables researchers to close the loop between measurement and simulation — leading to deeper insights, more accurate models, and faster device optimisation.