| Deep learning spectroscopy: Neural networks for molecular excitation spectra K Ghosh, A Stuke, M Todorović, PB Jørgensen, MN Schmidt, A Vehtari, ... Advanced science 6 (9), 1801367, 2019 | 263 | 2019 |
| Roadmap on machine learning in electronic structure HJ Kulik, T Hammerschmidt, J Schmidt, S Botti, MAL Marques, M Boley, ... Electronic Structure 4 (2), 023004, 2022 | 137 | 2022 |
| Bayesian inference of atomistic structure in functional materials M Todorović, MU Gutmann, J Corander, P Rinke Npj computational materials 5 (1), 35, 2019 | 127 | 2019 |
| Submolecular imaging by noncontact atomic force microscopy with an oxygen atom rigidly connected to a metallic probe H Mönig, DR Hermoso, O Díaz Arado, M Todorović, A Timmer, ... ACS nano 10 (1), 1201-1209, 2016 | 94 | 2016 |
| Chemical diversity in molecular orbital energy predictions with kernel ridge regression A Stuke, M Todorović, M Rupp, C Kunkel, K Ghosh, L Himanen, P Rinke The Journal of chemical physics 150 (20), 2019 | 86 | 2019 |
| Atomic structures and orbital energies of 61,489 crystal-forming organic molecules A Stuke, C Kunkel, D Golze, M Todorović, JT Margraf, K Reuter, P Rinke, ... Scientific data 7 (1), 58, 2020 | 80 | 2020 |
| Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization A Stuke, P Rinke, M Todorović Machine Learning: Science and Technology 2 (3), 035022, 2021 | 75 | 2021 |
| Pseudo-atomic orbitals as basis sets for the O (N) DFT code CONQUEST AS Torralba, M Todorović, V Brázdová, R Choudhury, T Miyazaki, ... Journal of Physics: Condensed Matter 20 (29), 294206, 2008 | 64 | 2008 |
| Understanding Scanning Tunneling Microscopy Contrast Mechanisms on Metal Oxides: A Case Study H Mönig, M Todorovic, MZ Baykara, TC Schwendemann, L Rodrigo, ... ACS nano 7 (11), 10233-10244, 2013 | 62 | 2013 |
| Atomic species identification at the (101) anatase surface by simultaneous scanning tunnelling and atomic force microscopy O Stetsovych, M Todorović, TK Shimizu, C Moreno, JW Ryan, CP León, ... Nature communications 6 (1), 7265, 2015 | 55 | 2015 |
| Efficient Amino Acid Conformer Search with Bayesian Optimization L Fang, E Makkonen, M Todorović, P Rinke, X Chen Journal of chemical theory and computation 17 (3), 1955-1966, 2021 | 53 | 2021 |
| Atom-specific forces and defect identification on surface-oxidized Cu (100) with combined 3D-AFM and STM measurements MZ Baykara, M Todorović, H Mönig, TC Schwendemann, Ö Ünverdi, ... Physical Review B—Condensed Matter and Materials Physics 87 (15), 155414, 2013 | 48 | 2013 |
| Updates to the DScribe library: New descriptors and derivatives J Laakso, L Himanen, H Homm, EV Morooka, MOJ Jäger, M Todorović, ... The Journal of Chemical Physics 158 (23), 2023 | 38 | 2023 |
| Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search AT Egger, L Hörmann, A Jeindl, M Scherbela, V Obersteiner, M Todorović, ... Advanced Science 7 (15), 2000992, 2020 | 36 | 2020 |
| Machine Learning Optimization of Lignin Properties in Green Biorefineries J Löfgren, D Tarasov, T Koitto, P Rinke, M Balakshin, M Todorovic ACS Sustainable Chemistry & Engineering 10 (29), 9469-9479, 2022 | 29 | 2022 |
| Predicting gas–particle partitioning coefficients of atmospheric molecules with machine learning E Lumiaro, M Todorović, T Kurten, H Vehkamäki, P Rinke Atmospheric Chemistry and Physics 21 (17), 13227-13246, 2021 | 27 | 2021 |
| Detecting stable adsorbates of (1S)-camphor on Cu (111) with Bayesian optimization J Järvi, P Rinke, M Todorović Beilstein journal of nanotechnology 11 (1), 1577-1589, 2020 | 24 | 2020 |
| Projective Preferential Bayesian Optimization P Mikkola, M Todorović, J Järvi, P Rinke, S Kaski International Conference on Machine Learning, 6884-6892, 2020 | 20 | 2020 |
| Machine learning sparse tight-binding parameters for defects C Schattauer, M Todorović, K Ghosh, P Rinke, F Libisch npj Computational Materials 8 (1), 116, 2022 | 17 | 2022 |
| Integrating bayesian inference with scanning probe experiments for robust identification of surface adsorbate configurations J Järvi, B Alldritt, O Krejčí, M Todorović, P Liljeroth, P Rinke Advanced Functional Materials 31 (32), 2010853, 2021 | 16 | 2021 |
Patrick RinkeProfessor at Technical University Munich, GermanyBestätigte E-Mail-Adresse bei tum.de
