| Eco2ai: carbon emissions tracking of machine learning models as the first step towards sustainable ai SA Budennyy, VD Lazarev, NN Zakharenko, AN Korovin, OA Plosskaya, ... Doklady Mathematics 106 (Suppl 1), S118-S128, 2022 | 58 | 2022 |
| Boosting heterogeneous catalyst discovery by structurally constrained deep learning models AN Korovin, IS Humonen, AI Samtsevich, RA Eremin, AI Vasilev, ... Materials Today Chemistry 30, 101541, 2023 | 7 | 2023 |
| Eco4cast: Bridging predictive scheduling and cloud computing for reduction of carbon emissions for ML models training M Tiutiulnikov, V Lazarev, A Korovin, N Zakharenko, I Doroshchenko, ... Doklady Mathematics, 1-13, 2024 | | 2024 |
| Graph neural networks for predicting structural stability of Cd-and Zn-doped γ-CsPbI3 RA Eremin, IS Humonen, AA Kazakov, VD Lazarev, AP Pushkarev, ... Computational Materials Science 232, 112672, 2024 | | 2024 |
| Materials Today Chemistry AN Korovin, IS Humonen, AI Samtsevich, RA Eremin, AI Vasilev, ... Materials Today 30, 101541, 2023 | | 2023 |
