Einflussfaktoren von Freude im Sportunterricht
Bossmann, T.; Woll, A.; Wagner, I.
2023. Sportunterricht, 72 (12), 539–544. doi:10.30426/SU-2023-12-2  

Broadband stripline Lenz lens achieves 11 × NMR signal enhancement
Liang, J.; Davoodi, H.; Wadhwa, S.; Badilita, V.; Korvink, J. G.
2024. Scientific Reports, 14 (1), Article no: 1645. doi:10.1038/s41598-023-50616-0  

Analysing Privacy Aspects of Business Processes using Augmented Process Mining Results
Weinreuter, M.; Alpers, S.; Take, M.
2023. Modelling and Simulation 2023. Ed.: R. Vingerhoeds, 76–81, EUROSIS-ETI  

Datenschutz bei Künstlicher Intelligenz
Bao, M.; Vugrincic, A.; Dreher, A.-K.; Vonderau, D.; Tran, H.; Rill, M.; Balaban, S.
2023. Kompetenzzentrum KARL. doi:10.5445/IR/1000161675  

KARL GF5 Leitfaden - Whitepaper zu ethischen, rechtlichen und sozialen Aspekten im Kontext von Künstlicher Intelligenz für Arbeit und Lernen
Alpers, S.; Krings, B.-J.; Schröter, W.; Becker, C.; Brücklmayr, J.; Dreher, A.-K.; Frey, P.; Klöpper, M.; Rill, M.; Take, M.; Vugrincic, A.; Weinreuter, M.
2023. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161674  

Anonymität und Mobilität - Whitepaper zum Begriffs- und Domänenverständnis des Kompetenzcluster ANYMOS – Anonymisierung für vernetzte Mobilitätssysteme
Kneis, L.; Rill, M.; Alpers, S.; Friedewald, M.; Beckert, B.; Brücklmayr, J.; Denninger, O.; Krauß, K.; Metzger, F. M.; Wins, A.
2023. doi:10.5445/IR/1000161584  

Einfach anders machen! Perspektiven für den Alltag
Stolle, M.; Schnaubelt, M. (Eds.)
2023. Karlsruher Institut für Technologie (KIT)  

Interpretable Representation Learning for Motion Forecasting. PhD dissertation
Wagner, R.
2026, February 11. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000190386  

Cellcentroidformer: Combining self-attention and convolution for cell detection
Wagner, R.; Rohr, K.
2022. Annual Conference on Medical Image Understanding and Analysis, 212–222, Springer 

EfficientCellSeg: efficient volumetric cell segmentation using context aware pseudocoloring
Wagner, R.; Rohr, K.
2022. International Conference on Medical Imaging with Deep Learning, 1311–1321, PMLR 

JointMotion: Joint Self-Supervision for Joint Motion Prediction
Wagner, R.; Tas, O. S.; Klemp, M.; Fernandez Lopez, C.
2024. 8th Annual Conference on Robot Learning (CoRL). Ed.: P. Agrawal, 3395 – 3406, ML Research Press  

RedMotion: Motion Prediction via Redundancy Reduction
Wagner, R.; Tas, O. S.; Klemp, M.; Fernandez, C.; Stiller, C.
2024. Transactions on Machine Learning Research, 2024 

Szenariobasierte Validierung selbstlernender Systeme mit individueller Benutzeraktion durch metamorphe Beziehungen. PhD dissertation
Stang, M.
2025, May 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000181931  

Workpackage 2: Analysis of Parameters Influence on Tyre F&M Testing
Unrau, H.-J.; Gnadler, R.; Augustin, M.
1999, July 1. 7. EAEC International Congress, Additional Colloquium (1999), Barcelona, Spain, June 30–July 2, 1999  

TYDEX-Format, Description and Reference Manual
Unrau, H.-J.; Zamow, J.
1997, January 9  

Ion chromatography coupled with optical emission spectrometry (IC-ICP-OES) methodology for the analysis of inositol phosphates in food and feed
Henninger, C.; Stadelmann, T.; Heid, D.; Ochsenreither, K.; Eisele, T.
2025. Food Chemistry, 463 (Part 4), Art.-Nr.: 141437. doi:10.1016/j.foodchem.2024.141437 

Enzymes in Molecular Biotechnology
Aliyu, H.; Neumann, A.; Ochsenreither, K.
2024. Introduction to Enzyme Technology. Ed.: K.-E. Jaeger, 431–467, Springer International Publishing. doi:10.1007/978-3-031-42999-6_20 

Intensification of Enzymatic Sorbityl Laurate Production in Dissolved and Neat Systems under Conventional and Microwave Heating
Delavault, A.; Opochenska, O.; Schönrock, S.; Hollenbach, R.; Ochsenreither, K.; Syldatk, C.
2024. ACS Omega, 9 (15), 17163–17173. doi:10.1021/acsomega.3c10004  

Microbial Production of Dicarboxylates: Succinic Acid, Malic Acid, and Itaconic Acid
Schmollack, M.; Hartmann, L.; Ochsenreither, K.
2024. Handbook of Biorefinery Research and Technology. Ed.: V. Bisaria, 1–36, Springer Netherlands. doi:10.1007/978-94-007-6724-9_79-1 

A novel, robust peptidyl-lys metalloendopeptidase from Trametes coccinea recombinantly expressed in Komagataella phaffii
Ahmed, U.; Stadelmann, T.; Heid, D.; Würtz, B.; Pfannstiel, J.; Ochsenreither, K.; Eisele, T.
2024. Applied Microbiology and Biotechnology, 108 (1), 103. doi:10.1007/s00253-023-12986-3  

Cross-linked phytase aggregates for improved phytate degradation at low pH in animal feed
Henninger, C.; Hoferer, M.; Ochsenreither, K.; Eisele, T.
2023. European Food Research and Technology, 249 (9), 2377–2386. doi:10.1007/s00217-023-04299-6 

Engineering Scheffersomyces segobiensis for palmitoleic acid‐rich lipid production
Qian, X.; Lei, H.; Zhou, X.; Zhang, L.; Cui, W.; Zhou, J.; Xin, F.; Dong, W.; Jiang, M.; Ochsenreither, K.
2024. Microbial Biotechnology, 17 (1). doi:10.1111/1751-7915.14301  

Enzyme‐assisted HPTLC method for the simultaneous analysis of inositol phosphates and phosphate
Henninger, C.; Spangenberg, B.; Schmidt, M.; Ochsenreither, K.; Eisele, T.
2023. JSFA reports, 3 (4), 170–179. doi:10.1002/jsf2.109  

Direct transesterification of microalgae after Pulsed Electric Field ( PEF ) treatment
Papachristou, I.; Zhang, S.; Gorte, O.; Ochsenreither, K.; Wüstner, R.; Nazarova, N.; Frey, W.; Silve, A.
2022. Journal of Chemical Technology & Biotechnology, 98 (3), 642–650. doi:10.1002/jctb.7293  

Optimization of l-malic acid production from acetate with Aspergillus oryzae DSM 1863 using a pH-coupled feeding strategy
Kövilein, A.; Aschmann, V.; Zadravec, L.; Ochsenreither, K.
2022. Microbial Cell Factories, 21 (1), 242. doi:10.1186/s12934-022-01961-8  

Effect of process mode, nitrogen source and temperature on L-malic acid production with Aspergillus oryzae DSM 1863 using acetate as carbon source
Kövilein, A.; Zadravec, L.; Hohmann, S.; Umpfenbach, J.; Ochsenreither, K.
2022. Frontiers in Bioengineering and Biotechnology, 10, Art.-Nr.: 1033777. doi:10.3389/fbioe.2022.1033777  

Enhanced Bioactivity of Tailor-Made Glycolipid Enriched Manuka Honey
Delavault, A.; Zoheir, A. E.; Muller, D.; Hollenbach, R.; Rabe, K. S.; Ochsenreither, K.; Rudat, J.; Syldatk, C.
2022. International Journal of Molecular Sciences, 23 (19), Art.-Nr.: 12031. doi:10.3390/ijms231912031  

Co-Fermenting Pyrolysis Aqueous Condensate and Pyrolysis Syngas with Anaerobic Microbial Communities Enables L-Malate Production in a Secondary Fermentative Stage
Robazza, A.; Welter, C.; Kubisch, C.; Baleeiro, F. C. F.; Ochsenreither, K.; Neumann, A.
2022. Fermentation, 8 (10), 512. doi:10.3390/fermentation8100512  

Metabolic shift towards increased biohydrogen production during dark fermentation in the anaerobic fungus Neocallimastix cameroonii G341
Stabel, M.; Haack, K.; Lübbert, H.; Greif, M.; Gorenflo, P.; Aliyu, H.; Ochsenreither, K.
2022. Biotechnology for Biofuels and Bioproducts, 15 (1), Artikel-Nr.: 96. doi:10.1186/s13068-022-02193-z  

Simultaneous Metabarcoding and Quantification of Neocallimastigomycetes from Environmental Samples: Insights into Community Composition and Novel Lineages
Young, D.; Joshi, A.; Huang, L.; Munk, B.; Wurzbacher, C.; Youssef, N. H.; Elshahed, M. S.; Moon, C. D.; Ochsenreither, K.; Griffith, G. W.; Callaghan, T. M.; Sczyrba, A.; Lebuhn, M.; Flad, V.
2022. Microorganisms, 10 (9), Art.-Nr.: 1749. doi:10.3390/microorganisms10091749  

Lipase-Mediated Mechanoenzymatic Synthesis of Sugar Esters in Dissolved Unconventional and Neat Reaction Systems
Hollenbach, R.; Delavault, A.; Gebhardt, L.; Soergel, H.; Muhle-Goll, C.; Ochsenreither, K.; Syldatk, C.
2022. ACS Sustainable Chemistry & Engineering, 10 (31), 10192–10202. doi:10.1021/acssuschemeng.2c01727 

Valorization of a Pyrolytic Aqueous Condensate and Its Main Components for L-Malic Acid Production with Aspergillus oryzae DSM 1863
Kubisch, C.; Ochsenreither, K.
2022. Fermentation, 8 (3), Art.-Nr.: 107. doi:10.3390/fermentation8030107  

Production of palmitoleic acid by oleaginous yeast Scheffersomyces segobiensis DSM 27193 using systematic dissolved oxygen regulation strategy
Zhou, X.; Zhou, D.; Bao, X.; Zhang, Y.; Zhou, J.; Xin, F.; Zhang, W.; Qian, X.; Dong, W.; Jiang, M.; Ochsenreither, K.
2023. Chinese journal of chemical engineering, 53, 324–331. doi:10.1016/j.cjche.2022.01.022 

Detoxification of a pyrolytic aqueous condensate from wheat straw for utilization as substrate in Aspergillus oryzae DSM 1863 cultivations
Kubisch, C.; Ochsenreither, K.
2022. Biotechnology for Biofuels and Bioproducts, 15 (1), Article no: 18. doi:10.1186/s13068-022-02115-z  

Immobilization of Aspergillus oryzae DSM 1863 for l-Malic Acid Production
Kövilein, A.; Aschmann, V.; Hohmann, S.; Ochsenreither, K.
2022. Fermentation, 8 (1), Article no: 26. doi:10.3390/fermentation8010026  

Enhanced l-Malic Acid Production by Aspergillus oryzae DSM 1863 Using Repeated-Batch Cultivation
Schmitt, V.; Derenbach, L.; Ochsenreither, K.
2022. Frontiers in Bioengineering and Biotechnology, 9, Art.-Nr.: 760500. doi:10.3389/fbioe.2021.760500  

Enzymatic Synthesis of Alkyl Glucosides by β‐Glucosidases in a 2‐in‐1 Deep Eutectic Solvent System 
Delavault, A.; Grüninger, J.; Kapp, D.; Hollenbach, R.; Rudat, J.; Ochsenreither, K.; Syldatk, C.
2022. Chemie - Ingenieur - Technik, 94 (3), 417–426. doi:10.1002/cite.202100150  

The draft genome sequence of Scheffersomyces segobiensis strain DSM 27193, a yeast capable of producing palmitoleic acid-rich lipids
Zhou, X.; Xu, L.; Zhou, D.; Zhou, J.; Xin, F.; Zhang, W.; Qian, X.; Dong, W.; Jiang, M.; Ochsenreither, K.
2021. 3 Biotech, 11 (11), Article no: 488. doi:10.1007/s13205-021-03040-y 

Increased Lipid Production in Yarrowia lipolytica from Acetate through Metabolic Engineering and Cosubstrate Fermentation
Chen, L.; Yan, W.; Qian, X.; Chen, M.; Zhang, X.; Xin, F.; Zhang, W.; Jiang, M.; Ochsenreither, K.
2021. ACS synthetic biology, 10 (11), 3129–3138. doi:10.1021/acssynbio.1c00405 

Comparative study on interfacial and foaming properties of glycolipids in relation to the gas applied for foam generation
Hollenbach, R.; Oeppling, S.; Delavault, A.; Völp, A. R.; Willenbacher, N.; Rudat, J.; Ochsenreither, K.; Syldatk, C.
2021. RSC Advances, 11 (54), 34235–34244. doi:10.1039/D1RA06190A  

Evaluating the effect of cultivation conditions on palmitoleic acid-rich lipid production by Scheffersomyces segobiensis DSM 27193
Zhou, X.; Bao, X.; Zhou, J.; Xin, F.; Zhang, W.; Qian, X.; Dong, W.; Jiang, M.; Ochsenreither, K.
2021. Biofuels, bioproducts and biorefining, 15 (6), 1859–1870. doi:10.1002/bbb.2286 

Global Transcriptome Profile of the Oleaginous Yeast Saitozyma podzolica DSM 27192 Cultivated in Glucose and Xylose
Aliyu, H.; Gorte, O.; Neumann, A.; Ochsenreither, K.
2021. Journal of Fungi, 7 (9), Art.-Nr.: 758. doi:10.3390/jof7090758  

Isolation and Biochemical Characterization of Six Anaerobic Fungal Strains from Zoo Animal Feces
Stabel, M.; Schweitzer, T.; Haack, K.; Gorenflo, P.; Aliyu, H.; Ochsenreither, K.
2021. Microorganisms, 9 (8), Article: 1655. doi:10.3390/microorganisms9081655  

Characterization and Phylogenetic Analysis of a Novel GH43 β-Xylosidase From Neocallimastix californiae
Stabel, M.; Hagemeister, J.; Heck, Z.; Aliyu, H.; Ochsenreither, K.
2021. Frontiers in Fungal Biology, 2. doi:10.3389/ffunb.2021.692804  

Lipase-Catalyzed Production of Sorbitol Laurate in a “2-in-1” Deep Eutectic System: Factors Affecting the Synthesis and Scalability
Delavault, A.; Opochenska, O.; Laneque, L.; Soergel, H.; Muhle-Goll, C.; Ochsenreither, K.; Syldatk, C.
2021. Molecules, 26 (9), 2759. doi:10.3390/molecules26092759  

Co‐production of microbial lipids with valuable chemicals
Chen, L.; Qian, X.; Zhang, X.; Zhou, X.; Zhou, J.; Dong, W.; Xin, F.; Zhang, W.; Jiang, M.; Ochsenreither, K.
2021. Biofuels, bioproducts and biorefining, 15 (3), 945–954. doi:10.1002/bbb.2209 

Bioconversion of volatile fatty acids into lipids by the oleaginous yeast Apiotrichum porosum DSM27194
Qian, X.; Zhou, X.; Chen, L.; Zhang, X.; Xin, F.; Dong, W.; Zhang, W.; Ochsenreither, K.; Jiang, M.
2021. Fuel, 290, Art.Nr. 119811. doi:10.1016/j.fuel.2020.119811 

Neue Verfahren und Produkte in der technischen Biologie
Ochsenreither, K.
2020 

Aestipascuomyces dupliciliberans gen. nov, sp. nov., the First Cultured Representative of the Uncultured SK4 Clade from Aoudad Sheep and Alpaca
Stabel, M.; Hanafy, R. A.; Schweitzer, T.; Greif, M.; Aliyu, H.; Flad, V.; Young, D.; Lebuhn, M.; Elshahed, M. S.; Ochsenreither, K.; Youssef, N. H.
2020. Microorganisms, 8 (11), Article no: 1734. doi:10.3390/microorganisms8111734  

Optimization of carbon source efficiency for lipid production with the oleaginous yeast Saitozyma podzolica DSM 27192 applying automated continuous feeding
Gorte, O.; Kugel, M.; Ochsenreither, K.
2020. Biotechnology for biofuels, 13 (1), 181. doi:10.1186/s13068-020-01824-7  

Valorization of Crude Glycerol into Citric Acid and Malic Acid by Yarrowia lipolytica
Qian, X.; Xu, N.; Jing, Y.; Song, M.; Zhou, J.; Dong, W.; Xin, F.; Zhang, W.; Jiang, M.; Ochsenreither, K.
2020. Industrial & engineering chemistry research, 59 (39), 17165–17172. doi:10.1021/acs.iecr.0c01723 

Interfacial and Foaming Properties of Tailor-Made Glycolipids—Influence of the Hydrophilic Head Group and Functional Groups in the Hydrophobic Tail
Hollenbach, R.; Völp, A. R.; Höfert, L.; Rudat, J.; Ochsenreither, K.; Willenbacher, N.; Syldatk, C.
2020. Molecules, 25 (17), 3797. doi:10.3390/molecules25173797  

Pulsed Electric Field Treatment Promotes Lipid Extraction on Fresh Oleaginous Yeast Saitozyma podzolica DSM 27192
Gorte, O.; Nazarova, N.; Papachristou, I.; Wüstner, R.; Leber, K.; Syldatk, C.; Ochsenreither, K.; Frey, W.; Silve, A.
2020. Frontiers in Bioengineering and Biotechnology, 8, Article 575379. doi:10.3389/fbioe.2020.575379  

Enzymatic synthesis of glucose monodecanoate in a hydrophobic deep eutectic solvent
Hollenbach, R.; Ochsenreither, K.; Syldatk, C.
2020. International journal of molecular sciences, 21 (12), Article no: 4342. doi:10.3390/ijms21124342  

Optimization of glycolipid synthesis in hydrophilic deep eutectic solvents
Hollenbach, R.; Bindereif, B.; Van Der Schaaf, U. S.; Ochsenreither, K.; Syldatk, C.
2020. Frontiers in Bioengineering and Biotechnology, 8, Art.-Nr.: 382. doi:10.3389/fbioe.2020.00382  

Evaluation of Downstream Processing, Extraction, and Quantification Strategies for Single Cell Oil Produced by the Oleaginous Yeasts Saitozyma podzolica DSM 27192 and Apiotrichum porosum DSM 27194
Gorte, O.; Hollenbach, R.; Papachristou, I.; Steinweg, C.; Silve, A.; Frey, W.; Syldatk, C.; Ochsenreither, K.
2020. Frontiers in Bioengineering and Biotechnology, 8, Article no: 355. doi:10.3389/fbioe.2020.00355  

In silico proteomic analysis provides insights into phylogenomics and plant biomass deconstruction potentials of the Tremelalles
Aliyu, H.; Gorte, O.; Zhou, X.; Neumann, A.; Ochsenreither, K.
2020. Frontiers in Bioengineering and Biotechnology, 8, Article: 226. doi:10.3389/fbioe.2020.00226  

Biotechnological potential and applications of microbial consortia
Qian, X.; Chen, L.; Sui, Y.; Chen, C.; Zhang, W.; Zhou, J.; Dong, W.; Jiang, M.; Xin, F.; Ochsenreither, K.
2020. Biotechnology advances, 40, Art.Nr. 107500. doi:10.1016/j.biotechadv.2019.107500 

Genomic insights into the lifestyles, functional capacities and oleagenicity of members of the fungal family Trichosporonaceae
Aliyu, H.; Gorte, O.; De Maayer, P.; Neumann, A.; Ochsenreither, K.
2020. Scientific reports, 10, 2780. doi:10.1038/s41598-020-59672-2  

Malic acid production from renewables: A review
Kövilein, A.; Kubisch, C.; Cai, L.; Ochsenreither, K.
2020. Journal of chemical technology & biotechnology, 95 (3), 513–526. doi:10.1002/jctb.6269 

Data for the publication "Energy flow analysis of laboratory scale lithium-ion battery cell production"
Erakca, M.
2021 

Life Cycle Inventory data for "Closing gaps in LCA of lithium-ion batteries: LCA of lab-scale cell production with new primary data"
Erakca, M.
2023 

Numerical Methods and Machine Learning for Prompt-Gamma Neutron Activation Analysis. PhD dissertation
Jesser, A.
2025, May 22. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000181887  

Numerical Robustness of PINNs for Multiscale Transport Equations
Jesser, A.; Krycki, K.; McClarren, R. G.; Frank, M.
2024. arxiv. doi:10.48550/arXiv.2412.14683  

Physics Informed Neural Networks for Neutron Transport in Large Sample Prompt Gamma Activation Analysis
Jesser, A.; Krycki, K.
2024, April 10. Mashine Learning Conference for X-Ray and Neutron-Based Experiments (2024), Garching bei München, Germany, April 8–10, 2024 

Numerical solution of a parameter estimation problem arising in Prompt-Gamma Neutron Activation Analysis
Jesser, A.; Krycki, K.; Frank, M.
2024. Applied Mathematics in Science and Engineering, 32 (1), Article no: 2336170. doi:10.1080/27690911.2024.2336170  

Non-destructive Material Characterization of Waste Packages with QUANTOM - 22208
Herbell, H.; Coquard, L.; Hummel, J.; Nordhardt, G.; Veltkamp, T.; Havenith, A.; Krycki, K.; Fu, B.; Helmes, C.; Doemeland, M.; Heidner, M.; Simons, F.; Köble, T.; Schumann, O.; Jesser, A.
2022 

Partial Cross-Section Calculations for PGNAA Based on a Deterministic Neutron Transport Solver
Jesser, A.; Krycki, K.; Frank, M.
2022. Nuclear technology, 208 (7), 1114–1123. doi:10.1080/00295450.2021.2016018  

Zerstörungsfreie stoffliche Beschreibung und Plausibilitätsprüfung radioaktiver Abfälle mittels QUANTOM
Coquard, L.; Nordhardt, G.; Hummel, J.; Havenith, A.; Krycki, K.; Hirsch, M.; Wangnick, M.; Fu, B.; Reisenhofer, F.; Hansmann, B.; Hansmann, T.; Helmes, C.; Dürr, M.; Rother, M.; Simons, F.; Köble, T.; Schumann, O.; Jesser, A.
2021. KONTEC GmbH 

Investigation of Moisture Influence and Solution Processable Encapsulation Strategies for Flexible Printed Electronics. PhD dissertation
Chen, Z.
2025, July 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000183133  

Solution Processable Barrier Films Using A Filled Polymer to Encapsulate Flexible Printed Electronics
Chen, Z.; Gengenbach, U.; Gananian, S.; Moser, D.; Reichert, K.-M.; Huang, L.; Koker, L.
2025. IEEE Journal on Flexible Electronics, 4 (1), 4–11. doi:10.1109/JFLEX.2024.3512473  

Approaches for Solution-Processed Encapsulation of Printed Medical Wearable Devices
Chen, Z.; Gengenbach, U.; Koker, L.; Mansour, M.
2020. Current directions in biomedical engineering, 6 (3), 131–134. doi:10.1515/cdbme-2020-3034  

Entwicklung flexibler, tintenstrahlgedruckter Varaktoren. PhD dissertation
Mach, T. P.
2025, March 10. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000179838  

PINNs4Drops: Video-conditioned physics-informed neural networks for two-phase flow reconstruction (Research Data)
Dreisbach, M.; Kiyani, E.; Kriegseis, J.; Karniadakis, G. E.; Stroh, A.
2026, March 16. doi:10.35097/n8zc8hdj9myu0dj0 

Convolutional feature-enhanced physics- informed neural networks for reconstructing two-phase flows
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2025, May 30. 1st International Symposium on AI and Fluid Mechanics (AIFLUIDs 2025), Chania, Greece, May 27–30, 2025 

Opportunities for micropattern fabrication via drop-wise condensation templating
Dent, F.; Dreisbach, M.; Kriegseis, J.; Stroh, A.; Khodaparast, S.
2025, May 14. 12th International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025 

Revealing hidden fluid dynamics with physics-informed neural networks from droplet impingement experiments
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2025, May 14. 12th International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025 

Spatio-temporal reconstruction of an adhering droplet interface for PIV distortion correction by means of deep learning and glare points
Dreisbach, M.; Hinojos, I.; Kriegseis, J.; Stroh, A.; Burgmann, S.
2025, May 13. 12th International Conference on Multiphase Flow (ICMF 2025), Toulouse, France, May 12–16, 2025 

Interface reconstruction of adhering droplets for distortion correction using color-coded glare points and deep learning
Dreisbach, M.; Hinojos, I.; Kriegseis, J.; Stroh, A.; Burgmann, S.
2025. International Journal of Multiphase Flow, 191, 105288. doi:10.1016/j.ijmultiphaseflow.2025.105288  

Convolutional feature-enhanced physics-informed neural networks for the spatio-temporal reconstruction of two-phase flows
Dreisbach, M.; Kiani, E.; Kriegseis, J.; Karniadakis, G.; Stroh, A.
2024, November 25. 77th Annual Meeting of the Division of Fluid Dynamics (2024), Salt Lake City, UT, USA, November 24–26, 2024 

Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning. PhD dissertation
Dreisbach, M.
2025, March 27. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000180490  

Spatio-Temporal Interface Reconstruction by Means of Glare Points and Deep Learning (research data)
Dreisbach, M.
2025, January 24. doi:10.35097/mmnxkbqqeye8p5tx 

Interface reconstruction of adhering droplets for distortion correction using glare points and deep learning (research data)
Dreisbach, M.; Hinojos, I.; Kriegseis, J.; Stroh, A.; Burgmann, S.
2025, January 24. doi:10.35097/egqrfznmr9yp2s7f 

Spatio-temporal reconstruction of droplet impingement dynamics by means of color-coded glare points and deep learning
Dreisbach, M.; Stroh, A.; Kriegseis, J.
2024, May 14. doi:10.35097/AcElpeTrdkOvxYWf 

Volumetric reconstruction of drop impact dynamics by means of color-coded glare points and deep learning
Dreisbach, M.; Blessing, S.
2023, April 5. 11th International Conference on Multiphase Flow (ICMF 2023), Kobe, Japan, April 2–7, 2023 

Three-Dimensional Detection Of A Gas-Liquid Interface By Means Of Oblique Colored Light Sources
Dreisbach, M.; Blessing, S.; Michaux, F.; Brunn, A.; Stroh, A.; Kriegseis, J.
2022. Proceedings of the 20th International Symposium on Application of Laser and Imaging Techniques to Fluid Mechanics, Lisboa, P, July 11-14, 2022 

Particle Detection by means of Neural Networks and Synthetic Training Data Refinement in Defocusing Particle Tracking Velocimetry (data)
Dreisbach, M.; Leister, R.; Probst, M.; Friederich, P.; Stroh, A.; Kriegseis, J.
2022, June 27. doi:10.5445/IR/1000146837 

Passivity-Based Stabilisation and Coordination in Networked Multi-Energy Systems. PhD dissertation
Malan, A. J.
2025, May 6. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000181403  

Optimized Energy Hub Scheduling Using Evolutionary Algorithms. PhD dissertation
Poppenborg, R.
2024, December 19. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000177487  

Optimized Energy Hub Scheduling Using Evolutionary Algorithms - Supplementary Materials
Poppenborg, R.
2024, November 26. doi:10.35097/hubh72dd9d5mt43g 

The Kopernikus ENSURE Co-Demonstration Platform
Mehlmann, G.; Kühnapfel, U.; Wege, F.; Winkens, A.; Scheibe, C.; Vogel, S.; Noglik, P.; Gratza, M.; Richter, J.; Weber, M.; Burlakin, I.; Kuri, A.; Wagner, T.; Hubschneider, S.; Poppenborg, R.; Heins, T.; Förderer, K. M.; Ulbig, A.; Monti, A.; Hagenmeyer, V.; et al.
2023. IEEE Open Journal of Power Electronics, 4, 987–1002. doi:10.1109/OJPEL.2023.3332515  

Dynamic Mapping for Evolutionary Algorithm Based Optimization of Energy Hub Gas Scheduling
Poppenborg, R.; Beisswanger, K.; Hotz, C.; Förderer, K.; Kolb, T.; Hagenmeyer, V.
2023. 2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE), 206–211, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SEGE59172.2023.10274571 

Dynamic Chromosome Interpretation in Evolutionary Algorithms for Distributed Energy Resources Scheduling
Poppenborg, R.; Phipps, K.; Khalloof, H.; Förderer, K.; Mikut, R.; Hagenmeyer, V.
2023. GECCO ’23 Companion: Companion Conference on Genetic and Evolutionary Computation Lisbon Portugal July 15 - 19, 2023. Ed.: S. Silva, 755–758, Association for Computing Machinery (ACM). doi:10.1145/3583133.3590666 

Analysis and Compensation of the ZVS based Nonlinear Transfer Characteristic of a Dual Active Bridge
Sommer, F.; Merz, T.; Sui, H.; Schwendemann, R.; Hiller, M.
2024. 2024 IEEE 10th International Power Electronics and Motion Control Conference (IPEMC2024-ECCE Asia), 1169–1175, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IPEMC-ECCEAsia60879.2024.10567387  

Time Domain Modeling of Zero Voltage Switching behavior considering Parasitic Capacitances for a Dual Active Bridge
Sommer, F.; Menger, N.; Merz, T.; Soltau, N.; Idaka, S.; Hiller, M.
2023. 2023 11th International Conference on Power Electronics - ECCE Asia (ICPE 2023 - ECCE Asia), Jeju Island, Korea, Republic of, 22-25 May 2023, 13–20, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ICPE2023-ECCEAsia54778.2023.10213865  

Design and Characterization of a 500 kW 20 kHz Dual Active Bridge using 1.2 kV SiC MOSFETs
Sommer, F.; Menger, N.; Merz, T.; Soltau, N.; Idaka, S.; Hiller, M.
2022. 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), 1390–1397, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/IPEC-Himeji2022-ECCE53331.2022.9807023  

Mirror Source based Overcurrent and Short Circuit Protection Method for High Power SiC MOSFETs
Sommer, F.; Soltau, N.; Stamer, F.; Menger, N.; Idaka, S.; Hiller, M.
2021. PCIM Europe digital days : : International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, 3-7 May 2021, 1712–1718, VDE Verlag  

The Influence of Carrageenan Polysaccharides on Ice Crystal Growth and Recrystallization: Experimental and Computational Insights. PhD dissertation
Gerhäuser, J.
2026, March 18. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000191389  

Moleküldynamik-Simulation eines Insekten Antigefrierproteins an der Eis-Wasser-Grenzfläche
Gerhäuser, J.; Wittner, M. O.; Gaukel, V.
2021, March 11. Jahrestreffen der ProcessNet-Fachgruppen Lebensmittelverfahrenstechnik, Mischvorgänge, Grenzflächenbestimmte Systeme und Prozesse (2021), Online, March 11–12, 2021 

Analyse der Eisoberflächenstruktur nach Bindung eines Antigefrierproteins und deren Zusammenhang mit der Gibbs-Thomson Gleichung
Gerhäuser, J.; Gaukel, V.
2022, March 16. Jahrestreffen der ProcessNet-Fachgruppen "Grenzflächenbestimmte Systeme und Prozesse", "Partikelmesstechnik" sowie "Aerosoltechnik" (2022), Online, February 16–17, 2022