Marko Huttula

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20232026

most citedTuning the Electronic Properties of Two-Dimensional Lepidocrocite Titanium Dioxide Based Heterojunctions

7 citations · 7 across the 5 of their papers we have counts for

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cond-mat.mtrl-sci2026

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO $_{2}$ Monolayer

Kati Asikainen, Matti Alatalo, Marko Huttula +1

Machine learning models are increasingly applied in materials science, yet their predictive power is often constrained by data scarcity. Here, we show that accurate predictions can…

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO2​ Monolayer

Data-Efficient Machine learning for Predicting Dopant Formation Energies in TiO $_{2}$ Monolayer