| Improving sample and feature selection with principal covariates regression RK Cersonsky, BA Helfrecht, EA Engel, S Kliavinek, M Ceriotti Machine Learning: Science and Technology 2 (3), 035038, 2021 | 33 | 2021 |
| scikit-matter: A suite of generalisable machine learning methods born out of chemistry and materials science A Goscinski, VP Principe, G Fraux, S Kliavinek, BA Helfrecht, P Loche, ... Open Research Europe 3, 2023 | 7 | 2023 |
| Molecular dynamics simulation of glass transition of the supercooled Zr–Nb melt SS Kliavinek, LN Kolotova Journal of Experimental and Theoretical Physics 131, 284-297, 2020 | 5 | 2020 |
| Modeling of glass transition process and elastic properties of Zr-Nb amorphous alloys SS Kliavinek, LN Kolotova Journal of Non-Crystalline Solids 571, 121052, 2021 | 2 | 2021 |
| 1; peer review: awaiting peer review A Goscinski, VP Principe, G Fraux, S Kliavinek, BA Helfrecht, P Loche, ... | | 2023 |
| Improving Data Sub-Selection for Supervised Tasks with Principal Covariates Regression R Cersonsky, B Helfrecht, S Kliavinek, EA Engel, M Ceriotti 2021 AIChE Annual Meeting, 2021 | | 2021 |
