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cs.LG2025
Enhancing Dimensionality Prediction in Hybrid Metal Halides via Feature Engineering and Class-Imbalance Mitigation
Mariia Karabin, Isaac Armstrong, Leo Beck +5
We present a machine learning framework for predicting the structural dimensionality of hybrid metal halides (HMHs), including organic-inorganic perovskites, using a combination of…
cond-mat.mtrl-sci2025
Strain engineering of doped hydrogen passivated silicon quantum dots
Swarnava Ghosh, Markus Eisenbach
Silicon quantum dots are nanomaterials that are attractive candidates for photovoltaic applications. Doping of these materials creates p-n junctions and is important for solar cell…