Experimental characterization and numerical analysis of the influence of the CED coating process on viscous fingering formation in hybrid-jointed mixed structures
M. Al Trjman, F. Beule, D. Teutenberg, G. Meschut, J. Riese, The Journal of Adhesion (2026) 1–24.

Impact of Vehicle Scheduling and Strategic Transition Planning on Zero-Emission Bus Systems
M. Stumpe, D. Rößler-von Saß, K. Natalia, G. Schryen, Transportation Research Interdisciplinary Perspectives (n.d.).

Flexible operation strategies for heat pumps in district heating systems using dynamic electricity prices
H.C. Rahlf, D. Divkovic, L. Knorr, F. Schlosser, H. Meschede, Energy Conversion and Management 364 (2026).

Impact of vehicle scheduling and strategic transition planning on zero-emission bus systems
M. Stumpe, D. Rößler-von Saß, N. Kliewer, G. Schryen, Transportation Research Interdisciplinary Perspectives 38 (2026).

Towards Stakeholder-Aware Demand-Side management assessment in heterogeneous residential Microgrids: A Multi-Agent approach
K. Henne, H.C. Rahlf, M. Naumann, H. Meschede, Energy Conversion and Management: X 31 (2026) 102030.

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.

The power of combined modalities in interactive robot learning
H. Beierling, R. Beierling, A.-L. Vollmer, Frontiers in Robotics and AI 12 (2025).

Evaluating oneAPI I/O Pipes in a Case Study of Scaling a SYCL Jacobi Solver to multiple FPGAs
C. Alt, C. Plessl, T. Kenter, in: Proceedings of the 13th International Workshop on OpenCL and SYCL, Association for Computing Machinery, New York, NY, USA, 2025.

An Evolutionary Approach for the Computation of -Locally Optimal Solutions for Multi-Objective Multimodal Optimization
C. Hernández, A.E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2025) 1–1.

Finding ?5-Locally Optimal Solutions for Multi-Objective Multimodal Optimization
A.E. Rodriguez-Fernandez, L. Schäpermeier, C. Hernández, P. Kerschke, H. Trautmann, O. Schütze, IEEE Transactions on Evolutionary Computation (2024) 1–1.

Overcoming Lemon Markets with Business Reputation  Ecosystem – A Multi-agent Simulation on Monetary  Ratings
U. Ibrahimli, S. Hemmrich, S. Zauke, A. Winkelmann, in: 19. Internationale Tagung Wirtschaftsinformatik (W), 2024.

Interview Study on Strategy Options for Platform Operation in B Markets
L. Özcan, T. Fichtler, B. Kasten, C. Koldewey, R. Dumitrescu, in: 2023.

Why do Digital Platforms succeed or fail? - A Literature Review on Success and Failure Factors
L. Özcan, C. Koldewey, E. Duparc, H. van der Valk, B. Otto, R. Dumitrescu, in: 2022.

A Damage Model for Corrosion Fatigue Due to Hydrogen Embrittlement
Y. Shi, S. Harzheim, M. Hofmann, T. Wallmersperger, in: Material Modeling and Structural Mechanics, Springer International Publishing, Cham, 2022.

BBE: Basin-Based Evaluation of Multimodal Multi-objective Optimization Problems
J. Heins, J. Rook, L. Schäpermeier, P. Kerschke, J. Bossek, H. Trautmann, in: G. Rudolph, A.V. Kononova, H. Aguirre, P. Kerschke, G. Ochoa, T. Tusar (Eds.), Parallel Problem Solving from Nature (PPSN XVII), Springer International Publishing, Cham, 2022, pp. 192–206.

On the Potential of Automated Algorithm Configuration on Multi-Modal Multi-Objective Optimization Problems
J. Rook, H. Trautmann, J. Bossek, C. Grimme, in: Proceedings of the Genetic and Evolutionary Computation Conference Companion, Association for Computing Machinery, New York, NY, USA, 2022, pp. 356–359.

Performance Management Approach for Digital Platforms in B Markets
L. Özcan, L.I. Kirchberg, C. Koldewey, R. Dumitrescu, in: I. Bitran, L. Bitetti, S.  Conn, J. Fishburn, E. Huizingh, M. Torkkeli, J. Yang (Eds.), The Role of Innovation: Past, Present, Future, Athens, 2022.

Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems
O. Schön, R.-S. Götte, J. Timmermann, in: 14th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2022), 2022, pp. 19–24.

AutoML for Multi-Label Classification: Overview and Empirical Evaluation
M.D. Wever, A. Tornede, F. Mohr, E. Hüllermeier, IEEE Transactions on Pattern Analysis and Machine Intelligence (2021) 1–1.

Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning
S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021).