| In silico screening of modulators of magnesium dissolution C Feiler, D Mei, B Vaghefinazari, T Würger, RH Meißner, ... Corrosion science 163, 108245, 2020 | 52 | 2020 |
| A first-principles analysis of the charge transfer in magnesium corrosion T Würger, C Feiler, GB Vonbun-Feldbauer, ML Zheludkevich, RH Meißner Scientific reports 10 (1), 15006, 2020 | 51 | 2020 |
| ATR-FTIR in Kretschmann configuration integrated with electrochemical cell as in situ interfacial sensitive tool to study corrosion inhibitors for magnesium substrates LI Fockaert, T Würger, R Unbehau, B Boelen, RH Meißner, SV Lamaka, ... Electrochimica acta 345, 136166, 2020 | 48 | 2020 |
| Data science based Mg corrosion engineering T Würger, C Feiler, F Musil, GBV Feldbauer, D Höche, SV Lamaka, ... Frontiers in Materials 6, 446549, 2019 | 42 | 2019 |
| Exploring key ionic interactions for magnesium degradation in simulated body fluid–a data-driven approach B Zeller-Plumhoff, M Gile, M Priebe, H Slominska, B Boll, B Wiese, ... Corrosion science 182, 109272, 2021 | 32 | 2021 |
| Adsorption of Acetone on Rutile TiO2: A DFT and FTIRS Study T Würger, W Heckel, K Sellschopp, S Müller, A Stierle, Y Wang, H Noei, ... The Journal of Physical Chemistry C 122 (34), 19481-19490, 2018 | 31 | 2018 |
| Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models EJ Schiessler, T Würger, SV Lamaka, RH Meißner, CJ Cyron, ... npj computational materials 7 (1), 193, 2021 | 25 | 2021 |
| Exploring structure-property relationships in magnesium dissolution modulators T Würger, D Mei, B Vaghefinazari, DA Winkler, SV Lamaka, ... npj Materials Degradation 5 (1), 1-10, 2021 | 19 | 2021 |
| Van der Waals Interaction Really Matters: Energetics of Benzoic Acid on TiO2 Rutile Surfaces W Heckel, T Würger, S Müller, G Feldbauer The Journal of Physical Chemistry C 121 (32), 17207-17214, 2017 | 17 | 2017 |
| Atomistic insight into the hydration states of layered double hydroxides X Li, T Würger, C Feiler, RH Meißner, M Serdechnova, C Blawert, ... ACS omega 7 (14), 12412-12423, 2022 | 10 | 2022 |
| Data-driven selection of electrolyte additives for aqueous magnesium batteries T Würger, L Wang, D Snihirova, M Deng, SV Lamaka, DA Winkler, ... Journal of Materials Chemistry A 10 (40), 21672-21682, 2022 | 8 | 2022 |
| Mechanical degradation estimation of thermosets by peak shift assessment: General approach using infrared spectroscopy A Doblies, C Feiler, T Würger, E Schill, RH Meißner, B Fiedler Polymer 221, 123585, 2021 | 8 | 2021 |
| Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques X Li, B Vaghefinazari, T Würger, SV Lamaka, ML Zheludkevich, C Feiler npj Materials degradation 7 (1), 64, 2023 | 7 | 2023 |
| New insights into the inhibition mechanism of carboxylate species on magnesium surface Y Zhou, X Lu, T Würger, D Höche, ML Zheludkevich, F Wang Corrosion Science 232, 112009, 2024 | 4 | 2024 |
| Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features EJ Schiessler, T Würger, B Vaghefinazari, SV Lamaka, RH Meißner, ... npj Materials degradation 7 (1), 74, 2023 | 1 | 2023 |
| Artificial Intelligence, Machine Learning, And Big Data For Corrosion Control–Quo Vadis? DA Winkler, AE Hughes, C Özkan, JMC Mol, T Würger, C Feiler, ... Artificial Intelligence, 2024 | | 2024 |
| Selection of Electrolyte Additives for Enhanced Mg-Air Battery Performance Supported By Data-Driven Approach D Snihirova, L Wang, M Deng, B Vaghefinazari, Y Wu, T Würger, ... Electrochemical Society Meeting Abstracts 244, 660-660, 2023 | | 2023 |
| The Needles in the Haystack: An Active Design of Experiments for Accelerated Discovery of Magnesium Corrosion Inhibitors T Würger, C Song, B Vaghefinazari, A Lisitsyna, P Fischer, G Wiese, ... | | 2023 |
| Corrosion Estimation From Optical Images Via Generative UNET-Based Neural Networks A Lisitsyna, C Song, T Würger, SV Lamaka, C Feiler, S Albarquoni, ... | | 2023 |
| Deep Learning with Data Limitations: A Use Case of Predicting Inhibition Efficiencies for Magnesium Dissolution Modulators EJ Schiessler, T Würger, B Vaghefinazari, SV Lamaka, RH Meißner, ... | | 2023 |
Mikhail ZheludkevichHelmholtz-Zentrum Hereon and CAU University of KielVerified email at hereon.de
