Ott, M., Meihöfener, N., &; Koch, R. (2022). Boosting artificial intelligence in design processes by the use of additive manufacturing. Proceedings of the 33rd Annual International Solid Freeform Fabrication Symposium 2022, 33, 696–705.

Hammer, M. (2022). Small-scale online simulations in guided-wave photonics. In S. M. García-Blanco &; P. Cheben (Eds.), Integrated Optics: Devices, Materials, and Technologies XXVI (p. 1200414). SPIE.https://doi.org/10.1117/12.2612208 

Neufeld, S., Schindlmayr, A., &; Schmidt, W. G. (2022). Quasiparticle energies and optical response of RbTiOPO4 and KTiOAsO4. Journal of Physics: Materials, 5(1), Article 015002.https://doi.org/10.1088/2515-7639/ac3384 

Bocchini, A., Gerstmann, U., Bartley, T., Steinrück, H.-G., Henkel, G., &; Schmidt, W. G. (2022). Electrochemical performance of KTiOAsO_4 (KTA) in potassium-ion batteries from density-functional theory. Phys. Rev. Materials, 6, 105401.https://doi.org/10.1103/PhysRevMaterials.6.105401 

Müller, I. (2022). Transareales Gedenken an genozidale Geschichte in Analogie zum islamistischen Terror der Gegenwart in “Das Dorf” des algerischen Autors Boualem Sansal" (L. Auteri, Ed.; Vol. 4, p. 11).

Moritzer, E., Flachmann, F., Richters, M., &; Neugebauer, M. (2022). Analysis of the Segregation Phenomena of Wood Fiber Reinforced Plastics. Journal of Composites Science, 6(10), Article 321.https://doi.org/10.3390/jcs6100321 

Bothe, M., Hami Dindar, I., Lutters, N., &; Kenig, E. Y. (2022). Dynamic modeling of absorption/desorption closed-loop including periphery. Computers and Chemical Engineering.

Mertin, S. (2022). Konzept für ein hierarchisches autonomes Verkehrsmanagement.

Junker, A., Timmermann, J., &; Trächtler, A. (n.d.). Data-Driven Models for Control Engineering Applications Using the Koopman Operator. 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC 2022), 1–9.https://doi.org/10.1109/AIRC56195.2022.9836980 

Götte, R.-S., &; Timmermann, J. (2022). Composed Physics- and Data-driven System Identification for Non-autonomous Systems in Control Engineering. 2022 3rd International Conference on Artificial Intelligence, Robotics and Control (AIRC), 67–76.https://doi.org/10.1109/AIRC56195.2022.9836982 

BAJTOSOVÁ, L., Grydin, O., STOLBCHENKO, M., Schaper, M., KIVSKÁ, B., KRÁLÍK, R., SLAPÁKOVÁ, M., &; CIESLAR, M. (2022). Phase identification in twin-roll cast Al-Li alloys. METAL 2022 Conference Proeedings. Metal 2022, Brno.https://doi.org/10.37904/metal.2022.4437 

Reitz, A., Grydin, O., &; Schaper, M. (2022). Optical Detection of Phase Transformations in Steels: An Innovative Method for Time-Efficient Material Characterization During Tailored Thermo-mechanical Processing of a Press Hardening Steel. Metallurgical and Materials Transactions A, 53(8), 3125–3142.https://doi.org/10.1007/s11661-022-06732-z 

Westermann, H., Reitz, A., Mahnken, R., Schaper, M., &; Grydin, O. (2022). Microstructure transformations in a press hardening steel during tailored thermomechanical processing. Steel Research International.https://doi.org/10.1002/srin.202100346 

Hein, M., Kokalj, D., Lopes Dias, N. F., Stangier, D., Oltmanns, H., Pramanik, S., Kietzmann, M., Hoyer, K.-P., Meißner, J., Tillmann, W., &; Schaper, M. (2022). Low Cycle Fatigue Performance of Additively Processed and Heat-Treated Ti-6Al-7Nb Alloy for Biomedical Applications. Metals, 12(1), Article 122.https://doi.org/10.3390/met12010122 

Martin, S., Bielak, C. R., Bobbert, M., Tröster, T., &; Meschut, G. (2022). Numerical investigation of the clinched joint loadings considering the initial pre-strain in the joining area. Production Engineering.https://doi.org/10.1007/s11740-021-01103-w 

Martin, S., Kurtusic, K., &; Tröster, T. (2022). Influence of the Surrounding Sheet Geometry on a Clinched Joint. Key Engineering Materials, 927.https://doi.org/Â  https://doi.org/10.4028/p-09md1c 

Hein, M. (2022). Influence of Physical Vapor Deposition on High-Cycle Fatigue Performance of Additively Manufactured Ti-6Al-7Nb Alloy. Crystals.https://doi.org/10.3390/cryst12091190 

Klippstein, S. H., &; Schmid, H.-J. (2022). Powder Spread Flaws in Polymer Laser Sintering and its Influences on Mechanical Performance. Proceedings of the 33nd Annual International Solid Freeform Fabrication Symposium.

Gräßler, I., Wiechel, D., &; Thiele, H. (2022). Fortschrittskontrolle der Modellierung mechatronischer Produkte. In T. Bertram, B. Corves, K. Janschek, S. Rinderknecht, &; Verein Deutschen Ingenieure (Eds.), Tagungsband der Fachtagung VDI-Mechatronik (Vol. 15). TU Darmstadt.

Wolters, D., &; Engels, G. (2022). Model-driven Design and Management of Professional Education Programmes. ICSOB’22 Companion Proceedings, 3316.