Joachim Bill

Prof. Dr.

Head of Department
Institute for Materials Science
Bioinspired Materials

Contact

Heisenbergstr. 3
70569 Stuttgart
Germany
Room: 2S5

Subject

  1. Willeke, S. (2022). Ghostwriting: Maja Göpel und der gute Geist. Die Zeit.
  2. Lotter, W. (2022). Neid, Wut, Kränkung: Maja Göpel und der böse Geist. Tageszeitung (Taz), Futurzwei. https://taz.de/Neid-Wut-Kraenkung/!5874204/
  3. Kern, F., & Lawitzki, R. (2022). Properties of alumina 10 vol% zirconia composites : The role of zirconia starting powders. Journal of the European Ceramic Society, 42(2), 534–542. https://doi.org/10.1016/j.jeurceramsoc.2021.10.036
  4. Babin, C., Stöhr, R., Morioka, N., Linkewitz, T., Steidl, T., Wörnle, R., Liu, D., Hesselmeier, E., Vorobev, V., Denisenko, A., Hentschel, M., Gobert, C., Berwian, P., Astakhov, G. V., Knolle, W., Majety, S., Saha, P., Radulaski, M., Son, N. T., … Wrachtrup, J. (2022). Fabrication and nanophotonic waveguide integration of silicon carbide colour centres with preserved spin-optical coherence. Nature Materials, 21, 67–73. https://doi.org/10.1038/s41563-021-01148-3
  5. Tapia Camu, C. A., & Aicher, S. (2022). Survival Analysis of Tensile Strength Variation and Simulated Length-Size Effect along Oak Boards. Journal of Engineering Mechanics, 148(1), 04021130. https://doi.org/10.1061/(ASCE)EM.1943-7889.0002006
  6. Grundhöfer, T., Stroppel, M. J., & Maldeghem, H. van. (2022). Moufang sets generated by translations in unitals. Journal of Combinatorial Designs, 30(2), 91–104. https://doi.org/10.1002/jcd.21813
  7. Monjaraz Tec, C. D., Groß, J., & Krack, M. (2022). A massless boundary component mode synthesis method for elastodynamic contact problems. Computers & Structures, 260(February), 106698. https://doi.org/10.1016/j.compstruc.2021.106698
  8. Boutalbi, R., Labiod, L., & Nadif, M. (2022). TensorClus : A python library for tensor (Co)-clustering. Neurocomputing, 468, 464–468. https://doi.org/10.1016/j.neucom.2021.09.036
  9. Fernández, M., Fritzen, F., & Weeger, O. (2022). Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials. International Journal for Numerical Methods in Engineering, 123(2), 577–609. https://doi.org/10.1002/nme.6869
  10. Medeiros Fernandes Negreiros, B., Schwindt, S., Haun, S., & Wieprecht, S. (2022). Fuzzy map comparisons enable objective hydro-morphodynamic model validation. Earth Surface Processes and Landforms, 47(3), 793–806. https://doi.org/10.1002/esp.5285
  11. Cruz, T. (2022). An integral theory of dominant dimension of Noetherian algebras. Journal of Algebra, 591, 410–499. https://doi.org/10.1016/j.jalgebra.2021.09.029
  12. Tarimoradi, H., Karami, H., Gharehpetian, G. B., & Tenbohlen, S. (2022). Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults. Measurement, 187(January), 110292. https://doi.org/10.1016/j.measurement.2021.110292
  13. Schmitt, C., Kube, A., Wagner, N., & Friedrich, K. A. (2022). Understanding the Influence of Temperature on Phase Evolution during Lithium-Graphite (De-)Intercalation Processes : An Operando X-ray Diffraction Study. ChemElectroChem, 9(2), e202101342. https://doi.org/10.1002/celc.202101342
  14. Eliwi, A. A., Malekshahi Byranvand, M., Fassl, P., Khan, M. R., Hossain, I. M., Frericks, M., Ternes, S., Abzieher, T., Schwenzer, J. A., Mayer, T., Hofmann, J. P., Richards, B. S., Lemmer, U., Saliba, M., & Paetzold, U. W. (2022). Optimization of SnO2 electron transport layer for efficient planar perovskite solar cells with very low hysteresis. Materials Advances, 3(1), 456–466. https://doi.org/10.1039/d1ma00585e
  15. Jobbins, A. M., Campagne, S., Weinmeister, R., Lucas, C. M., Gosliga, A. R., Clery, A., Chen, L., Eperon, L. P., Hodson, M. J., Hudson, A. J., Allain, F. H. T., & Eperon, I. C. (2022). Exon-independent recruitment of SRSF1 is mediated by U1 snRNP stem-loop 3. The EMBO Journal, 41(1), e107640. https://doi.org/10.15252/embj.2021107640
  16. Chen, Y., Du, W., Zhang, Q., Ávalos-Ovando, O., Wu, J., Xu, Q.-H., Liu, N., Okamoto, H., Govorov, A. O., Xiong, Q., & Qiu, C.-W. (2022). Multidimensional nanoscopic chiroptics. Nature Reviews. Physics, 4(2), 113–124. https://doi.org/10.1038/s42254-021-00391-6
  17. Armiti-Juber, A. (2022). On the limit of a two-phase flow problem in thin porous media domains of Brinkman type. Mathematical Methods in the Applied Sciences, 45(5), 2563–2581. https://doi.org/10.1002/mma.7940
  18. Schlaich, A., Jin, D., Bocquet, L., & Coasne, B. (2022). Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces. Nature Materials, 21, 237–245. https://doi.org/10.1038/s41563-021-01121-0
  19. Mandler, H., & Weigand, B. (2022). A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms. International Journal of Heat and Fluid Flow, 97, 109018. https://doi.org/10.1016/j.ijheatfluidflow.2022.109018
  20. Mandler, H., & Weigand, B. (2022). A realizable and scale-consistent data-driven non-linear eddy viscosity modeling framework for arbitrary regression algorithms. International Journal of Heat and Fluid Flow, 97, 109018. https://doi.org/10.1016/j.ijheatfluidflow.2022.109018
  21. Pimpelhuber, E. (2022). Test #789.
  22. Bluhm, R., & McCord, G. C. (2022). What Can We Learn from Nighttime Lights for Small Geographies? Measurement Errors and Heterogeneous Elasticities. Remote Sensing, 14(5), Article 5. https://doi.org/10.3390/rs14051190
  23. Bluhm, R., Polonik, P., Hemes, K. S., Sanford, L. C., Benz, S. A., Levy, M. C., Ricke, K. L., & Burney, J. A. (2022). Disparate air pollution reductions during California’s COVID-19 economic shutdown. Nature Sustainability, 5(6), 509–517. https://doi.org/10.1038/s41893-022-00856-
  24. Rosa, N., & Lynch, K. M. (2022). A Topological Approach to Gait Generation for Biped Robots. IEEE Transactions on Robotics, 38(2), 699–718. https://doi.org/10.1109/TRO.2021.3094159
  25. Wannenmacher, N., Pfeffer, C., Frey, W., & Peters, R. (2022). Enantioenriched γ-Aminoalcohols, β-Amino Acids, β-Lactams, and Azetidines Featuring Tetrasubstituted Fluorinated Stereocenters via Palladacycle-Catalyzed Asymmetric Fluorination of Isoxazolinones. The Journal of Organic Chemistry, 87(1), 670–682. https://doi.org/10.1021/acs.joc.1c02640
  26. Dos Santos Roque, A., Jazdi-Motlagh, N., Pignaton De Freitas, E., & Pereira, C. E. (2022). A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular Distributed Control Systems. IEEE Transactions on Intelligent Transportation Systems, 23(7), 7220–7232. https://doi.org/10.1109/TITS.2021.3067552
  27. Dey, U., & Hesselbarth, J. (2022). Subwavelength Particle Spectroscopy by Measurements of Electromagnetic Scattering at Millimeter-Wave Frequency. IEEE Transactions on Microwave Theory and Techniques, 70(1), 699–710. https://doi.org/10.1109/TMTT.2021.3124241
  28. Möhring, H.-C., Becker, D., Eisseler, R., Stehle, T., & Reeber, T. (2022). Influence of the manufacturing parameters of an AlMg5 wire-based hybrid production process on quality and mechanical properties. The International Journal of Advanced Manufacturing Technology, 119(3–4), 2445–2460. https://doi.org/10.1007/s00170-021-08106-y
  29. Cicač-Hudi, M., Feil, C. M., Birchall, N., Nieger, M., & Gudat, D. (2022). A PH-functionalized dicationic bis(imidazolio)diphosphine. Dalton Transactions, 51(3), 998–1007. https://doi.org/10.1039/d1dt03978d
  30. Storchak, M., Möhring, H.-C., & Stehle, T. (2022). Improving the friction model for the simulation of cutting processes. Tribology Letters, 167(March), 107376. https://doi.org/10.1016/j.triboint.2021.107376
  31. Seyedpour, S. M., Nafisi, S., Nabati, M., Pierce, D. M., Reichenbach, J. R., & Ricken, T. (2022). Magnetic Resonance Imaging-based biomechanical simulation of cartilage : A systematic review. Journal of the Mechanical Behavior of Biomedical Materials, 126(February), 104963. https://doi.org/10.1016/j.jmbbm.2021.104963
  32. Kapernaum, N., Lange, A., Ebert, M., Grunwald, M. A., Haege, C., Marino, S., Zens, A., Taubert, A., Gießelmann, F., & Laschat, S. (2022). Current Topics in Ionic Liquid Crystals. ChemPlusChem, 87(1), e202100397. https://doi.org/10.1002/cplu.202100397
  33. Pradel, M., & Chandra, S. (2022). Neural Software Analysis. Communications of the ACM, 65(1), 86–96. https://doi.org/10.1145/3460348
  34. Lee, Y., Stender, P., Eich, S. M., & Schmitz, G. (2022). Probing the Miscibility Gap of the Pt-Pd Binary System by Atom Probe Tomography. Microscopy and Microanalysis, 28(4), 1385–1395. https://doi.org/10.1017/S1431927621013842
  35. Ravipati, D. P., Kedia, R., Santen, V. M. van, Henkel, J., Panda, P. R., & Amrouch, H. (2022). FN-CACTI : Advanced CACTI for FinFET and NC-FinFET Technologies. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 30(3), 339–352. https://doi.org/10.1109/TVLSI.2021.3123112
  36. Tran, T.-H., Berberich, J., & Simon, S. (2022). 3DVSR : 3D EPI volume-based approach for angular and spatial light field image super-resolution. Signal Processing, 192(March), 108373. https://doi.org/10.1016/j.sigpro.2021.108373
  37. Michele, A., Paschkowski, P., Hänel, C., Tovar, G. E. M., Schiestel, T., & Southan, A. (2022). Acid catalyzed cross-linking of polyvinyl alcohol for humidifier membranes. Journal of Applied Polymer Science, 139(6), 51606. https://doi.org/10.1002/app.51606
  38. Ahmed, M. A., Beirow, F., Loescher, A., Dietrich, T., Bashir, D., Didychenko, D., Savchenko, A., Pruss, C., Fetisova, M., Li, F., Karvinen, P., Kuittinen, M., & Graf, T. (2022). High-power thin-disk lasers emitting beams with axially-symmetric polarizations. Nanophotonics, 11(4), 835--846. https://doi.org/doi:10.1515/nanoph-2021-0606
  39. Beisswanger, R., Weckerle, M., Pruss, C., & Reichelt, S. (2022). Interferometric radius of curvature measurements: an environmental error treatment. Optics Express, 30(14), 25803. https://doi.org/10.1364/oe.461972
  40. Li, J., Thiele, S., Kirk, R. W., Quirk, B. C., Hoogendoorn, A., Chen, Y. C., Peter, K., Nicholls, S. J., Verjans, J. W., Psaltis, P. J., Bursill, C., Herkommer, A. M., Giessen, H., & McLaughlin, R. A. (2022). 3D-Printed Micro Lens-in-Lens for In Vivo Multimodal Microendoscopy. Small, 18(17), 2107032. https://doi.org/10.1002/smll.202107032
  41. Bremer, L., Jimenez, C., Thiele, S., Weber, K., Huber, T., Rodt, S., Herkommer, A., Burger, S., Höfling, S., Giessen, H., & Reitzenstein, S. (2022). Numerical optimization of single-mode fiber-coupled single-photon sources based on semiconductor quantum dots. Optics Express, 30(10), 15913. https://doi.org/10.1364/oe.456777
  42. Becker, L., Fischer, F., Fleck, J. L., Harland, N., Herkommer, A., Stenzl, A., Aicher, W. K., Schenke-Layland, K., & Marzi, J. (2022). Data-Driven Identification of Biomarkers for In Situ Monitoring of Drug Treatment in Bladder Cancer Organoids. International Journal of Molecular Sciences, 23(13), Article 13. https://doi.org/10.3390/ijms23136956
  43. Guerra, F., Wilhelm, P., & Haist, T. (2022). Holographic Wide-Angle System for Deformation Measurement of Extended Structures. Optics, 3(1), 79--87. https://doi.org/10.3390/opt3010010
  44. Ringkowski, M., Arnold, E., Hartlieb, S., Haist, T., Osten, W., & Sawodny, O. (2022). Precision tracking control of a dual-stage measuring machine. At - Automatisierungstechnik, 70(7), 646--661. https://doi.org/doi:10.1515/auto-2021-0165
  45. Blokker, N., Ceron, T., Blessing, A., Dayanik, E., Haunss, S., Kuhn, J., Lapesa, G., & Padó, S. (2022). Why Justifications of Claims Matter for Understanding Party Positions. Proceedings of the 2nd Workshop on Computational Linguistics for Political Text Analysis.
  46. Li, Z., Dittmann, D., Rieg, C., Benz, M., & Dyballa, M. (2022). Hydronium ion and water complexes vs. methanol on solid catalyst surfaces: how confinement influences stability and reactivity. Catal. Sci. Technol., 12(16), 5189–5202. https://doi.org/10.1039/D2CY00829G
  47. Rieg, C., Dittmann, D., Li, Z., Kurtz, A., Kaya, E., Peters, S., Kunkel, B., Parlinska-Wojtan, M., Wohlrab, S., Abdel-Mageed, A. M., & Dyballa, M. (2022). Introducing a Novel Method for Probing Accessibility, Local Environment, and Spatial Distribution of Oxidative Sites on Solid Catalysts Using Trimethylphosphine. The Journal of Physical Chemistry C, 126(31), 13213--13223. https://doi.org/10.1021/acs.jpcc.2c04114
  48. Pimpelhuber, E. (2022). Test #23.
  49. Pimpelhuber, E. (2022). Test #123.
  50. Keim, J., Munz, C.-D., & Rohde, C. (2022). A Relaxation Model for the Non-Isothermal Navier-Stokes-Korteweg Equations in onfined Domains. In arXiv e-prints. https://doi.org/0.48550/ARXIV.2208.05310
  51. Xiong, B., Zhu, S., Nayyeri, M., Xu, C., Pan, S., Zhou, C., & Staab, S. (2022, August). Ultrahyperbolic Knowledge Graph Embeddings. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22. https://doi.org/10.1145/3534678.3539333
  52. Holzmüller, D., & Steinwart, I. (2022). Training two-layer ReLU networks with gradient descent is inconsistent. Journal of Machine Learning Research, 23(181), 1--82. http://jmlr.org/papers/v23/20-830.html
  53. Holzmüller, D., & Steinwart, I. (2022). Training two-layer ReLU networks with gradient descent is inconsistent. Journal of Machine Learning Research, 23(181), 1--82. http://jmlr.org/papers/v23/20-830.html
  54. Holzmüller, D., & Steinwart, I. (2022). Training two-layer ReLU networks with gradient descent is inconsistent. Journal of Machine Learning Research, 23(181), 1--82. http://jmlr.org/papers/v23/20-830.html
  55. Hünemeyer, S., Reichelt, F., Rapp, S., Albers, A., & Maier, T. (n.d.). Challenges, Potentials and Success Factors in Automotive HMI Concept Development in the Early Phase in the Model of PGE. DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th-18th August 2022, 1--12. https://doi.org/10.35199/NORDDESIGN2022.25
  56. Hünemeyer, S., Reichelt, F., Rapp, S., Albers, A., & Maier, T. (2022). Challenges, Potentials and Success Factors in Automotive HMI Concept Development in the Early Phase in the Model of PGE. DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th-18th August 2022, 1--12. https://doi.org/10.35199/NORDDESIGN2022.25
  57. Hügle, S., Genc, E., Dittmann, J., & Middendorf, P. (2022). Offline Robot-Path-Planning and Process Simulation for the Structural Analysis of Coreless Wound Fibre-Polymer Composite Structures. Key Engineering Materials, 926, 1445--1453. https://doi.org/10.4028/p-970esd
  58. Hügle, S., Genc, E., Dittmann, J., & Middendorf, P. (2022). Offline Robot-Path-Planning and Process Simulation for the Structural Analysis of Coreless Wound Fibre-Polymer Composite Structures. Key Engineering Materials, 926, 1445--1453. https://doi.org/10.4028/p-970esd
  59. Holzmüller, D., Zaverkin, V., Kästner, J., & Steinwart, I. (2022). A Framework and Benchmark for Deep Batch Active Learning for Regression. ArXiv:2203.09410.
  60. Wolf, M., Kaiser, B., Hügle, S., Verl, A., & Middendorf, P. (2022). Data Model for Adaptive Robotic Construction in Architecture. Procedia CIRP, 107, 1035–1040. https://doi.org/10.1016/j.procir.2022.05.104
  61. Wolf, M., Kaiser, B., Hügle, S., Verl, A., & Middendorf, P. (2022). Data Model for Adaptive Robotic Construction in Architecture. Procedia CIRP, 107, 1035–1040. https://doi.org/10.1016/j.procir.2022.05.104
  62. Pérez, M. G., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., & Knippers, J. (2022). Computational co-design framework for coreless wound fibre–polymer composite structures. Journal of Computational Design and Engineering, 9(2), 310--329. https://doi.org/10.1093/jcde/qwab081
  63. Trepka, H. (2022). Critical magnetic fluctuations in strongly electron-correlated systems [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12257
  64. Bauer, D. (2022). Lernende ereignisbasierte Optimierung der Produktionssteuerung für die komplexe Werkstattfertigung. In Stuttgarter Beiträge zur Produktionsforschung (Dissertation No. 143, Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA; Issue 143). https://doi.org/10.18419/opus-12277
  65. Kazaz, L. (2022). Numerische Modellierung und transiente Simulation von Getrieben. In Schriften aus dem Institut für Technische und Numerische Mechanik der Universität Stuttgart (Dissertation No. 72; Issue 72). Shaker Verlag.
  66. Halt, L. (2022). Reglersynthese für aufgabenraumgesteuerte Industrieroboter. In Stuttgarter Beiträge zur Produktionsforschung (Dissertation No. 136, Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA; Issue 136). https://doi.org/10.18419/opus-12255
  67. Heberle, M. (2022). Pd(II)-katalysierte enantioselektive allylische Funktionalisierung chemischer Bausteine [Dissertation]. In Organische Chemie. Verlag Dr. Hut.
  68. Beirow, F. (2022). Leistungsskalierung ultrakurz gepulster radial polarisierter Laserstrahlung [Dissertation]. In Laser in der Materialbearbeitung. utzverlag.
  69. Köse, E. (2022). Techno-ökonomische Bewertung von Produktionsanlagen mit dynamischem Energieträgerwechsel. In Stuttgarter Beiträge zur Produktionsforschung (Dissertation No. 142, Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA; Issue 142). https://doi.org/10.18419/opus-12260
  70. Nudischer, M. (2022). Untersuchung und Optimierung seriell angeordneter Radialventilatoren. In Bericht / Institut für Konstruktionstechnik und Technisches Design, Universität Stuttgart (Dissertation No. 712, Institut für Konstruktionstechnik und Technisches Design; Issue 712). https://doi.org/10.18419/opus-12256
  71. Liu, H. (2022). Exploring metal organic layer based composites for selective electrocatalytic CO2 reduction to formate [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12259
  72. Laukenmann, M. (2022). Modellbasierte Steuerung und Regelung von hybriden Doppelkupplungsgetrieben. In Berichte aus dem Institut für Systemdynamik, Universität Stuttgart (Dissertation No. 64; Issue 64). Shaker Verlag.
  73. Armbrust, F. (2022). Deep sustainable finance : an end-to-end text analysis of the financial and environmental narratives in corporate disclosures [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12270
  74. Radhakrishnan, P. (2022). Electronic properties of rare earth vanadate heterostructures [Dissertation, Universität Stuttgart]. https://doi.org/10.18419/opus-12258
  75. Pérez, M. G., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tarín, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., & Knippers, J. (2022). Computational co-design framework for coreless wound fibre–polymer composite structures. Journal of Computational Design and Engineering, 9(2), 310--329. https://doi.org/10.1093/jcde/qwab081
  76. Pérez, M. G., Zechmeister, C., Kannenberg, F., Mindermann, P., Balangé, L., Guo, Y., Hügle, S., Gienger, A., Forster, D., Bischoff, M., Tar\’ın, C., Middendorf, P., Schwieger, V., Gresser, G. T., Menges, A., & Knippers, J. (2022). Computational co-design framework for coreless wound fibre–polymer composite structures. Journal of Computational Design and Engineering, 9(2), 310--329. https://doi.org/10.1093/jcde/qwab081
  77. Gaugler, L. K., Mast, Y., Fitschen, J., Hofmann, S., Schlüter, M., & Takors, R. (2022). Scaling-down biopharmaceutical production processes via a single multi-compartment bioreactor (SMCB). Engineering in Life Sciences. https://doi.org/10.1002/elsc.202100161
  78. Laue, F., Adegun, O. B., & Ley, A. (2022). Heat Stress Adaptation within Informal, Low-Income Urban Settlements in Africa. Sustainability, 14(13), 8182. https://doi.org/10.3390/su14138182
  79. Pfezer, D., Karst, J., Hentschel, M., & Gießen, H. (2022). Predicting Concentrations of Mixed Sugar Solutions with a Combination of Resonant Plasmon-Enhanced SEIRA and Principal Component Analysis. Sensors, 22(15), 5567. https://doi.org/10.3390/s22155567
  80. Byranvand, M. M., Kodalle, T., Zuo, W., Friedlmeier, T. M., Abdelsamie, M., Hong, K., Zia, W., Perween, S., Clemens, O., Sutter-Fella, C. M., & Saliba, M. (2022). One-Step Thermal Gradient- and Antisolvent-Free Crystallization of All-Inorganic Perovskites for Highly Efficient and Thermally Stable Solar Cells. Advanced Science, 9(23), 2202441. https://doi.org/10.1002/advs.202202441
  81. Miller, M., Rudion, K., Nägele, H., & Schnaars, J. (2022). A grid reinforcement approach for an optimized planning of high-voltage distribution grids under consideration of line loading indicators. IET Renewable Power Generation, 16(9), 1841–1852. https://doi.org/10.1049/rpg2.12442
  82. Stolz, K. (2022). Why Do(n’t) We Buy Second-Hand Luxury Products? Sustainability, 14(14), 8656. https://doi.org/10.3390/su14148656
  83. Kern, F., Holder, D., Maier, T., & others. (2022). Quantifying Influences on Perceived Design Age in Cars: A Conjoint Analysis. DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th-18th August 2022, 1--10.
  84. Kern, F., Holder, D., Maier, T., & others. (2022). Quantifying Influences on Perceived Design Age in Cars: A Conjoint Analysis. DS 118: Proceedings of NordDesign 2022, Copenhagen, Denmark, 16th-18th August 2022, 1--10.
  85. Hägele, D., & Krake, T. (2022). Source Code for Uncertainty-Aware Multidimensional Scaling. https://doi.org/10.18419/darus-2995
  86. Abdelaal, M. A. E., Schiele, N. D., Angerbauer, K., Kurzhals, K., Sedlmair, M., & Weiskopf, D. (2022). Supplemental Materials for: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations. https://doi.org/10.18419/darus-3100
  87. Vahid Dastjerdi, S., Karadimitriou, N., & Steeb, H. (2022). Data for: Experimental Evaluation of Connectivity in Two-phase Flow in Porous Media. https://doi.org/10.18419/darus-2841
  88. Xiong, B., Zhu, S., Nayyeri, M., Xu, C., Pan, S., Zhou, C., & Staab, S. (2022, August). Ultrahyperbolic Knowledge Graph Embeddings. 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-22. https://doi.org/10.1145/3534678.3539333
  89. Beißwanger, R., Weckerle, M., Pruß, C., & Reichelt, S. (2022). Interferometric radius of curvature measurements : an environmental error treatment. Optics Express, 30(14), 25803–25816. https://doi.org/10.1364/OE.461972
  90. Fendel, V., Kranert, M., Maurer, C., Garcés-Sánchez, G., Huang, J., & Ramakrishna, G. (2022). Stakeholder Assessment on Closing Nutrient Cycles through Co-Recycling of Biodegradable Household Kitchen Waste and Black Water between Rural and Urban Areas in South India. Recycling, 7(4), 49. https://doi.org/10.3390/recycling7040049
  91. Park, S.-Y., & Schott, N. (2022). The Immediate and Sustained Effects of Exercise-Induced Hemodynamic Response on Executive Function During Fine Motor-Cognitive Tasks Using Functional Near-Infrared Spectroscopy. Journal of Integrative Neuroscience, 21(3), 98. https://doi.org/10.31083/j.jin2103098
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