Group Department

 

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Gas Corrosion

The Gas Corrosion Group develops new alloy systems for high-temperature materials using thermodynamic modelling. We carry out corrosion tests in different oxidizing gases at 1000 °C and above, as well as advanced microstructure investigations. By developing materials that are stable under extreme conditions, our research contributes to increasing the efficiency of high-temperature energy conversion.

Group

Gaskorrosion

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Liquid Metal Technology

The Liquid Metal Technology Group deals with the interactions between liquid metals and materials. We also develop methods for measuring and controlling non-metals dissolved in liquid metals as well as material coatings for use in liquid metals. With the qualification and targeted improvement of materials, we are opening up new fields of application for liquid metals.

Group

Flüssigmetalltechnologie

The availability of materials that are compatible with the operating conditions is a prerequisite for the reliable and economical implementation of processes in industrial plants and machines. Undesirable interactions between the materials and the process environment as well as advantageous material behaviour need to be understood on a mechanistic level and quantified. When established concepts reach their limits, new approaches must be developed, including new material classes or material composites. Our tools include thermodynamic modelling of alloy systems, testing equipment adapted to the process-specific loads, and modern materialography. Our work is currently focussed on gas corrosion and material interactions with liquid metals.

Publication


Using Generative AI in Higher Education: A Guide for Instructors
Gimpel, H.; Hall, K.; Decker, S.; Eymann, T.; Gutheil, N.; Lämmermann, L.; Braig, N.; Maedche, A.; Röglinger, M.; Ruiner, C.; Schoch, M.; Schoop, M.; Urbach, N.; Vandirk, S.
2025. Journal of Information Systems Education, 36 (3), 237–256. doi:10.62273/QLLG7172
Miniaturized Single‐Photon Level Computational Complex Field Imaging System via Meta‐Optics
Wang, Y.; Jin, Q.; Shao, C.; Zhang, Q.; Hohmann, J. K.; Muslija, A.; Li, S.; Li, Z.; Lemmer, U.; Yao, X.; Zhao, Q.
2025. Advanced Optical Materials. doi:10.1002/adom.202501310
RetreatVR: A Design Exploration of an In-Game Quiet Room for Virtual Reality Games for Neurodivergent People
Meiners, A.-L.; Kray, P.; Gerling, K.
2025. Proceedings of The 27th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS ’25), Association for Computing Machinery (ACM). doi:10.1145/3663547.3759690
Stability of two-dimensional SISO LTI system with bounded feedback gain that has bounded derivative
Ponomarev, A.; Gröll, L.
2025. 23rd European Control Conference (ECC 2025), International Federation of Automatic Control (IFAC)
Ultra-high-scale cytometry-based cellular interaction mapping
Vonficht, D.; Jopp-Saile, L.; Yousefian, S.; Flore, V.; Simó Vesperinas, I.; Teuber, R.; Avanesyan, B.; Luo, Y.; Röthemeier, C.; Grünschläger, F.; Fernandez-Vaquero, M.; Fregona, V.; Ordoñez-Rueda, D.; Schmalbrock, L. K.; Deininger, L.; Yamachui Sitcheu, A. J.; Gu, Z.; Funk, M. C.; Mikut, R.; Heikenwälder, M.; Eggert, A.; von Stackelberg, A.; Kobold, S.; Krönke, J.; Keller, U.; Trumpp, A.; Hegazy, A. N.; Eckert, C.; Hübschmann, D.; Haas, S.
2025. Nature Methods. doi:10.1038/s41592-025-02744-w
Audio Segmentation for Robust Real-Time Speech Recognition Based on Neural Networks. bachelor’s thesis
Wetzel, M.
2016. Association for Computational Linguistics (ACL). doi:10.5445/IR/1000183883
Gaze tracking for multimodal human-computer interaction. diploma thesis
Stiefelhagen, R.
1996. Universität Karlsruhe (TH). doi:10.5445/IR/1000183881
Efficient Speech Transcription Through Respeaking. master’s thesis
Sperber, M.
2012. International Society for Computers and Their Applications (ISCA). doi:10.5445/IR/1000183879
Letter N-Gram-based Input Encoding for Continuous Space Language Models. diploma thesis
Sperr, H.
2013. Association for Computational Linguistics (ACL). doi:10.5445/IR/1000183878


Contact person

Dr. Carsten Schroer
Head of Corrosion Department

+49 721 608-24840
carsten.schroer∂kit.edu