F. F. Muhammadsharif

Interpretable machine learning reveals morphology-mediated performance pathways in organic solar cells

Organic solar cell (OSC) performance arises from coupled material, electronic, processing, and morphology-dependent mechanisms, yet the transferability of these relationships across heterogeneous literature-derived datasets remains uncertain. Here, interpretable machine learning (ML) was applied to a curated dataset of...