Challenges in Android Data Disclosure: An Empirical Study.
M. Khedkar, M. Schlichtig, M.A.M. Soliman, E. Bodden, in: Proceedings of the IEEE/ACM 13th International Conference on Mobile Software Engineering and Systems (MOBILESoft ’26). Association for Computing Machinery, New York, NY, USA, 65–68., 2026.

What Characterizes Data Spaces in Industry 4.0? Towards a Better Understanding
O. Werth, C. Koldewey, M. Uslar, J. Zerbin, in: Lecture Notes in Business Information Processing, Springer Nature Switzerland, Cham, 2026.

Leveraging extreme-scale simulation data: a workflow framework for multidisciplinary simulator integration
I. Gräßler, N. Döhner, in: Proceedings of the Design Society, Cambridge University Press (CUP), 2026, pp. 357–366.

Understanding the Value of Data Ecosystems for Circular Economy Metrics
J. Pottebaum, K. Dietrich, L. Schmidt, M. Biglari, M.-G. Schmidt, A. Pistillo, N. Gravina, F. Schmidt, Understanding the Value of Data Ecosystems for Circular Economy Metrics, Manufacturing-X Guidance Board, Berlin, 2026.

Praxisforschung in Schule und Unterricht
A. Textor, H. Kullmann, C. van der Donk, B. van Lanen, Praxisforschung in Schule und Unterricht, Beltz Juventa, Weinheim, 2026.

Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III
D.C. Hanke, A. Uhde, Y. Feng, Application of Novel Exponential (Semi-)Parametric Short and Long  Memory GARCH Models under Regulatory Requirements of Basel III, 2026.

Multilevel fault diagnostics for railway applications using limited historical data
O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in: PHM Society Asia-Pacific Conference, 2025.

Forward-Biased Silicon Phase Shifter Modeling for Electronic-Photonic Co-Simulation and Validation in a 250 nm EPIC BiCMOS Technology
T. Schwabe, C. Kress, S. Kruse, M. Weizel, H. Rhee, J.C. Scheytt, Journal of Lightwave Technology 43 (2025) 255–270.

Analysis and Design of Forward Biased Silicon Photonics Phase Shifter Equalizer Circuits
T. Schwabe, C. Kress, B. Sadiye, S. Kruse, J.C. Scheytt, IEEE Access 13 (2025) 192433–192450.

Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis
V. Tinnefeld, M. Kesternich, M. Werthschulte, Do Energy-Saving Nudges Deliver During High-Price Periods? Field Experimental Evidence From the European Energy Crisis, ZEW Discussion Paper No. 25-60, 2025.

Open Science
I. Steinhardt, R. Röwert, in: P. Pasternack, G. Reinmann, C. Schneijderberg (Eds.), Hochschulforschung, Nomos, Baden-Baden, 2025, pp. 487–496.

HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores
W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid, IEEE Transactions on Power Electronics 40 (2025) 3326–3335.

Hybrid Decision Support in Product Creation - Improving performance with data science and artificial intelligence
I. Gräßler, J. Pottebaum, P. Nyhuis, R. Stark, K.-D. Thoben, P. Wiederkehr, Industry 4.0 Science 2025 (2025).

Towards Practicable Algorithms for Rewriting Graph Queries Beyond DL-Lite
B. Löhnert, N. Augsten, C. Okulmus, M. Ortiz, in: The Semantic Web - 22nd European Semantic Web Conference, ESWC 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part I, Springer Nature Switzerland, 2025, pp. 342--361.

The POCS-Algorithm—An effective tool for calculating 2D particle property distributions via data inversion of exemplary CDMA measurement data
T.N. Rüther, D.B. Rasche, H.-J. Schmid, Journal of Aerosol Science 188 (2025).

Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation
J. Schütte, Experimental Dataset: Force and Displacement Measurements of Four Rubber-Metal Bushing Types from a Passenger Car under Harmonic Displacement Excitation, LibreCat University, 2025.

Predicting PDEs Fast and Efficiently with Equivariant Extreme Learning Machines
H. Harder, S. Peitz, (n.d.).

Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment
A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics and System Health Management Conference (PHM), IEEE Computer Society, 2024.

Towards Automated Design: Automatically Generating Modeling Elements with Prompt Engineering and Generative Artificial Intelligence
P.J. Kulkarni, D. Tissen, R. Bernijazov, R. Dumitrescu, in: J. Malmqvist, M. Candi, R. Saemundsson, F. Bystrom, O. Isaksson (Eds.), DS 130: Proceedings of NordDesign 2024, 2024, pp. 617–625.

Direct parameter identification for highly nonlinear strain rate dependent constitutive models using machine learning
J. Gerritzen, A. Hornig, P. Winkler, M. Gude, in: ECCM21 - Proceedings of the 21st European Conference on Composite Materials, European Society for Composite Materials (ESCM), 2024, pp. 1252–1259.