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Christian Feiler

Observed names: C. Feiler, Christian FEILER, Feiler, C., Feiler, Christian
ORCID: 0000-0003-4312-7629
Observed ORCID: 0000-0003-4312-7629
OpenAlex ID: A5082681305
High-energy and durable aqueous magnesium batteries: Recent advances and perspectives
2021 · Min Deng, Linqian Wang, et al. · Energy storage materials · 150
The effect of small-molecule bio-relevant organic components at low concentration on the corrosion of commercially pure Mg and Mg-0.8Ca alloy: An overall perspective
2019 · Di Mei, Sviatlana V. Lamaka, et al. · Corrosion Science · 110
A first-principles analysis of the charge transfer in magnesium corrosion
2020 · Tim Würger, Christian Feiler, et al. · Scientific Reports · 81
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Impact of inhibition mechanisms, automation, and computational models on the discovery of organic corrosion inhibitors
2024 · David A. Winkler, Anthony E. Hughes, et al. · Progress in Materials Science · 70
In silico screening of modulators of magnesium dissolution
2019 · Christian Feiler, Di Mei, et al. · Corrosion Science · 59
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Predicting the inhibition efficiencies of magnesium dissolution modulators using sparse machine learning models
2021 · Elisabeth J. Schiessler, Tim Würger, et al. · npj Computational Materials · 44
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Corrosion Inhibitors Intercalated into Layered Double Hydroxides Prepared In Situ on AZ91 Magnesium Alloys: Structure and Protection Ability
2023 · Tatsiana Shulha, Maria Serdechnova, et al. · ACS Applied Materials & Interfaces · 43
Data Science Based Mg Corrosion Engineering
2019 · Tim Würger, Christian Feiler, et al. · Frontiers in Materials · 43
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Laying the experimental foundation for corrosion inhibitor discovery through machine learning
2024 · Can Özkan, Lisa Sahlmann, et al. · npj Materials Degradation · 39
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Exploring structure-property relationships in magnesium dissolution modulators
2021 · Tim Würger, Di Mei, et al. · npj Materials Degradation · 30
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Predicting corrosion inhibition efficiencies of small organic molecules using data-driven techniques
2023 · Xuejiao Li, Bahram Vaghefinazari, et al. · npj Materials Degradation · 24
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Machine learning-guided discovery of high-efficiency electrolyte additives for aqueous magnesium-air batteries
2025 · Yulong Wu, Darya Snihirova, et al. · Energy storage materials · 23
Atomistic Insight into the Hydration States of Layered Double Hydroxides
2022 · Xuejiao Li, Tim Würger, et al. · ACS Omega · 23
CORDATA: an open data management web application to select corrosion inhibitors
2022 · Tiago L. P. Galvão, Inês Ferreira, et al. · npj Materials Degradation · 22
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Data-driven selection of electrolyte additives for aqueous magnesium batteries
2022 · Tim Würger, Linqian Wang, et al. · Journal of Materials Chemistry A · 21
A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data
2025 · Mohamed El Amine Seghier Ben, Tam T. Truong, et al. · Results in Engineering · 16
Reconstructing the infrared spectrum of a peptide from representative conformers of the full canonical ensemble
2023 · Amir Kotobi, Lucas Schwob, et al. · Communications Chemistry · 15
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Rational Design of Effective Mg Degradation Modulators
2020 · C. Feiler, D. Mei, et al. · CORROSION · 14
Large language models predicting the corrosion inhibition efficiency of magnesium dissolution modulators
2025 · Matthias Busch, Marius Tacke, et al. · Corrosion Science · 10
Searching the chemical space for effective magnesium dissolution modulators: a deep learning approach using sparse features
2023 · Elisabeth J. Schiessler, Tim Würger, et al. · npj Materials Degradation · 7
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Mechanical degradation estimation of thermosets by peak shift assessment: General approach using infrared spectroscopy
2021 · Audrius Doblies, Christian Feiler, et al. · Polymer · 7
An efficient screening of dissolution modulators of Mg alloys: Combining high-throughput multi-well exposure with topographical quantification of volume loss and pitting corrosion
2025 · Ci Song, Bahram Vaghefinazari, et al. · Corrosion Science · 5
Hydrogen trapping and desorption spectra analysis in 300M ultra high strength martensitic steel - an experimental and modeling study
2025 · Aravinth Ravikumar, J. Manoj Prabhakar, et al. · International Journal of Hydrogen Energy · 3
Machine Learning–Assisted Risk Assessment of Pitting Corrosion Susceptibility of AA1050 in Ethanol‐Containing Fuels
2024 · Lukas C. Jarren, Eugen Gazenbiller, et al. · Materials and Corrosion · 3
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Cathodic inhibition mechanism of magnesium alloys by using iron-complex inhibitor
2024 · Jun-jie YANG, Lin-qian WANG, et al. · Transactions of Nonferrous Metals Society of China · 3
Works count: 49
Citation count: 877
H-index: 16
I10-index: 19
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