Burger
conference lecture (invited)

Predicting the Corrosion Inhibition Efficiencies of Magnesium Dissolution Modulators using Computational Techniques

No abstract available.
  • URL: https://publications.hereon.de/id/50554/
  • Authors:Feiler, C.,Würger, T.,Sahlmann, L.,Meißner, R.,Wang, L.,Snihirova, D.,Schiessler, E.,Aydin, R.,Cyron, C.,Winkler, D.,Mei, D.,Vaghefinazari, B.,Lamaka, S.,Höche, D.,Zheludkevich, M.
  • Year:2022
  • In: Data Science for Science Seminar Series
  • Location:Virtual
  • Date:11.05.2022
  • Type:conference lecture (invited)
  • Cite as: Feiler, C.; Würger, T.; Sahlmann, L.; Meißner, R.; Wang, L.; Snihirova, D.; Schiessler, E.; Aydin, R.; Cyron, C.; Winkler, D.; Mei, D.; Vaghefinazari, B.; Lamaka, S.; Höche, D.; Zheludkevich, M.: Predicting the Corrosion Inhibition Efficiencies of Magnesium Dissolution Modulators using Computational Techniques. Data Science for Science Seminar Series. Virtual, 2022.
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