2 papers
cond-mat.mtrl-sci2026
Quantifying Perovskite Solar Cell Degradation via Machine Learning from Spatially Resolved Multimodal Luminescence Time Series
Giulio Barletta, Simon Ternes, Saif Ali +7
Perovskite solar cells achieve remarkable power conversion efficiencies, yet operational stability remains a major barrier to large-scale deployment. Reliable and rapid assessment…
cs.LG2026
A green solvent screening tool for emerging materials via uncertainty aware, transformer enhanced transfer learning
Ioannis Kouroudis, Simon Ternes, Zhaosu Gu +5
Accurate prediction of solubility remains a central challenge across materials science and sustainable chemistry. In particular due to emerging technologies like organic and hybrid…