| Efficient prediction of elastic properties of Ti0. 5Al0. 5N at elevated temperature using machine learning interatomic potential F Tasnadi, F Bock, J Tidholm, AV Shapeev, IA Abrikosov Thin Solid Films 737, 138927, 2021 | 14 | 2021 |
| Active learning with moment tensor potentials to predict material properties: Ti0. 5Al0. 5N at elevated temperature F Bock, F Tasnadi, IA Abrikosov Journal of Vacuum Science & Technology A 42 (1), 2024 | 6 | 2024 |
| HADB: A materials-property database for hard-coating alloys H Levämäki, F Bock, DG Sangiovanni, LJS Johnson, F Tasnádi, ... Thin Solid Films 766, 139627, 2023 | 3 | 2023 |
| Thermodynamic and electronic properties of polymorphs at high pressure F Tasnádi, F Bock, AV Ponomareva, M Bykov, S Khandarkhaeva, ... Physical Review B 104 (18), 184103, 2021 | 3 | 2021 |
| High temperature decomposition and age hardening of single-phase wurtzite thin films grown by cathodic arc deposition J Salamania, F Bock, LJS Johnson, F Tasnadi, KM Calamba Kwick, ... Physical Review Materials 8 (1), 013602, 2024 | 2 | 2024 |
| Active learning of interatomic potentials to investigate thermodynamic and elastic properties of Ti0. 5Al0. 5N at elevated temperature F Bock | 2 | 2021 |
| Combining ab‐initio and machine learning techniques for theoretical simulations of hard nitrides at extreme conditions F Bock Linköping University Electronic Press, 2024 | | 2024 |