Tim Würger
Tim Würger
Helmholtz-Zentrum Hereon
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Cited by
Cited by
In silico screening of modulators of magnesium dissolution
C Feiler, D Mei, B Vaghefinazari, T Würger, RH Meißner, ...
Corrosion science 163, 108245, 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
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
Data science based Mg corrosion engineering
T Würger, C Feiler, F Musil, GBV Feldbauer, D Höche, SV Lamaka, ...
Frontiers in Materials 6, 446549, 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
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
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
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
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
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
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
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
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
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, 112009, 2024
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
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
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
Corrosion Estimation From Optical Images Via Generative UNET-Based Neural Networks
A Lisitsyna, C Song, T Würger, SV Lamaka, C Feiler, S Albarquoni, ...
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, ...
A computational approach to magnesium corrosion engineering
T Würger
Dr. Hut, 2023
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