Ochsenfeld, S., &; Schlichting, S. (2023). Hydrodynamic and Non-hydrodynamic Excitations in Kinetic Theory -- A  Numerical Analysis in Scalar Field Theory. In arXiv:2308.04491.

Pleines, M., Pallasch, M., Zimmer, F., &; Preuss, M. (2023). Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of  Agents. In arXiv:2309.17207.

Schmalofski, T., Kroll, M., Dette, H., &; Janisch, R. (2023). Towards active learning: A stopping criterion for the sequential  sampling of grain boundary degrees of freedom. In arXiv:2302.01603.

Carzon, P., Martinez, M., Jacquelyn Noronha-Hostler, J. N.-H., Plaschke, P., Schlichting, S., &; Sievert, M. (2023). Pre-Equilibrium Evolution of Conserved Charges with ICCING Initial  Conditions. In arXiv:2301.04572.

Dawid, H., Harting, P., &; Neugart, M. (2023). Implications of Algorithmic Wage Setting on Online Labor Platforms: a Simulation-Based Analysis. SSRN Electronic Journal.https://doi.org/10.2139/ssrn.4405558 

Du, X., Ochsenfeld, S., &; Schlichting, S. (2023). Universality of energy-momentum response in kinetic theories. In arXiv:2306.09094.

Bauer, M. (2023). Ultrafast two-colour X-ray emission spectroscopy reveals excited state landscape in a base metal dyad. Ultrafast Two-Colour X-Ray Emission Spectroscopy Reveals Excited State Landscape in a Base Metal Dyad.https://doi.org/10.48550/ARXIV.2301.04425 

de Jong, L. W., Nejad, M. M., Yoon, E., Cheng, S., &; Diba, K. (2023). Optogenetics reveals paradoxical network stabilizations in hippocampal C and C. Current Biology.

Müller, P., Meta, M., Meidner, J. L., Schwickert, M., Meyr, J., Schwickert, K., Kersten, C., Zimmer, C., Hammerschmidt, S. J., Frey, A., Lahu, A., de la Hoz-Rodríguez, S., Agost-Beltrán, L., Rodríguez, S., Diemer, K., Neumann, W., Gonzàlez, F. V., Engels, B., &; Schirmeister, T. (2023). Investigation of the Compatibility between Warheads and Peptidomimetic Sequences of Protease Inhibitors—A Comprehensive Reactivity and Selectivity Study. International Journal of Molecular Sciences, 24(8), Article 7226.https://doi.org/10.3390/ijms24087226 

Nebel, A., Kling, A., Willamowski, R., &; Schell, T. (2023). Recalibration of limits to growth: An update of the World3 model. Journal of Industrial Ecology.https://doi.org/10.1111/jiec.13442 

Weckert, C., Solis-Vasquez, L., Oppermann, J., Koch, A., &; Sinnen, O. (2023). Altis-SYCL: Migrating Altis Benchmarking Suite from CUDA to SYCL for GPUs and FPGAs. Proceedings of the SC ’23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis.https://doi.org/10.1145/3624062.3624542 

Contini, N., Ramesh, B., Kandadi Suresh, K., Tran, T., Michalowicz, B., Abduljabbar, M., Subramoni, H., &; Panda, D. (2023). Enabling Reconfigurable HPC through MPI-based Inter-FPGA Communication. Proceedings of the 37th International Conference on Supercomputing.https://doi.org/10.1145/3577193.3593720 

Alt, C., Kenter, T., Faghih-Naini, S., Faj, J., Opdenhövel, J.-O., Plessl, C., Aizinger, V., Hönig, J., &; Köstler, H. (2023). Shallow Water DG Simulations on FPGAs: Design and Comparison of a Novel Code Generation Pipeline. In Lecture Notes in Computer Science. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-32041-5_5 

Van Hirtum, L., De Causmaecker, P., Goemaere, J., Kenter, T., Riebler, H., Lass, M., &; Plessl, C. (2023). A computation of D(9) using FPGA Supercomputing. In arXiv:2304.03039.

Oscar Garcia-Montero, O. G.-M., Mazeliauskas, A., Plaschke, P., &; Schlichting, S. (2023). Pre-equilibrium photons from the early stages of heavy-ion collisions. In arXiv:2308.09747.

Banh, N. C., &; Scharlau, I. (2023). First steps towards real-time assessment of attentional weights and capacity according to TVA. In S. Merz, C. Frings, B. Leuchtenberg, B. Moeller, S. Mueller, R. Neumann, B. Pastötter, L. Pingen, &; G. Schui (Eds.), Abstracts of the 65th TeaP. ZPID (Leibniz Institute for Psychology).https://doi.org/10.23668/PSYCHARCHIVES.12945 

Faj, J., Kenter, T., Faghih-Naini, S., Plessl, C., &; Aizinger, V. (2023). Scalable Multi-FPGA Design of a Discontinuous Galerkin Shallow-Water Model on Unstructured Meshes. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3592979.3593407 

Prouveur, C., Haefele, M., Kenter, T., &; Voss, N. (2023). FPGA Acceleration for HPC Supercapacitor Simulations. Proceedings of the Platform for Advanced Scientific Computing Conference (PASC).https://doi.org/10.1145/3592979.3593419 

Jentzsch, F. (2023). Hardware-Aware AutoML for Exploration of Custom FPGA Accelerators for RadioML. 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL).https://doi.org/10.1109/fpl60245.2023.00066 

Simon-Mertens, F. (2023). Effizienzanalyse leichtgewichtiger Neuronaler Netze für FPGA-basierte Modulationsklassifikation. Paderborn University.