2024<\/strong><\/p>\nS. Godbole, H. Vo\u00df, A. Gocke, S. Schlumbohm, Y. Schumann, B. Peng, M. Mynarek, S. Rutkowski, M. Dottermusch, M. M. Dorostkar, A. Korshunov, T. Mair, S. M. Pfister, M. Kwiatkowski, M. Hotze, P. Neumann, C. Hartmann, J. Weis, F. Liesche-Starnecker, Y. Guan, M. Moritz, B. Siebels, N. Struve, H. Schl\u00fcter, U. Sch\u00fcller, C. Krisp, J. E. Neumann. Multiomic profiling of medulloblastoma reveals subtype-specific targetable alterations at the proteome and N-glycan level. Nature Communications, 15, 6237, 2024<\/p>\n
S. K. Peravali, V. Jafari, A. K. Samanta, J. K\u00fcpper, M. Amin, P. Neumann, M. Breuer. Accuracy and performance evaluation of low density internal and external flow predictions using CFD and DSMC. Computers & Fluids, 106346, 2024<\/p>\n
Y. Schumann, M. Dottermusch, L. Schweizer, M. Krech, T. Lempertz, U. Sch\u00fcller, P. Neumann, J.E. Neumann. Morphology-Based Molecular Classification of Spinal Cord Ependymomas Using Deep Neural Networks. Brain Pathology, e13239, 2024<\/p>\n
2023<\/strong><\/p>\nM. Dottermusch, A. Biabani, T. Lempertz, Y. Schumann, J. Navolic, S. Godbole, D. Obrecht, S. Frank, M.M. Dorostkar, H. Vo\u00df, H. Schl\u00fcter, S. Rutkowski, U. Sch\u00fcller, J.E. Neumann. Integrated proteomics spotlight the proteasome as a therapeutic vulnerability in Embryonal Tumors with Multilayered Rosettes. Neuro-Oncology, noad265, 2023<\/p>\n
J. Navoli\u0107, M. Moritz, H. Vo\u00df, S. Schlumbohm, Y. Schumann, H. Schl\u00fcter, J.E. Neumann, J. Hahn. Direct 3D Sampling of the Embryonic Mouse Head: Layer-wise Nanosecond Infrared Laser (NIRL) Ablation from Scalp to Cortex for Spatially Resolved Proteomics. Analytical Chemistry 95, pp. 17220-17227, 2023<\/p>\n
S.J. Newcome, F.A. Gratl, P. Neumann, H.-J. Bungartz. Towards Auto-tuning Multi-Site Molecular Dynamics Simulations with AutoPas. Journal of Computational and Applied Mathematics 433, 115278, 2023<\/p>\n
Y. Schumann, J.E. Neumann, P. Neumann. Robust Classification Using Average Correlations as Features (ACF). BMC Bioinformatics 24, 101, 2023<\/p>\n
S. Le Borne, W. Leinen. Guidelines for RBF-FD Discretization: Numerical Experiments on the Interplay of a Multitude of Parameter Choices. Journal of Scientific Computing 95, 8, 2023<\/p>\n
Y. Schumann, P. Neumann. On Linear Models for Discrete Operator Inference in Time Dependent Problems. Journal of Computational and Applied Mathematics, 425, 115022, 2023<\/p>\n
2022<\/strong><\/p>\nP. Jarmatz, H. Wittenberg, V. Jafari, A. Das Sharma, F. Maurer, N. Wittmer, P. Neumann. MaMiCo 2.0: An enhanced open-source framework for high-performance molecular-continuum flow simulation. SoftwareX 20, 101251, 2022<\/p>\n
H. Vo\u00df, S. Schlumbohm, P. Barwikowski, M. Wurlitzer, M. Dottermusch, P. Neumann, H. Schl\u00fcter, J.E. Neumann, C. Krisp. HarmonizR enables data harmonization across independent proteomic datasets with appropriate handling of missing values. Nature Communications 13:3523, 2022<\/p>\n
P. Jarmatz, F. Maurer, H. Wittenberg, P. Neumann. MaMiCo: Non-local means and POD filtering with flexible data-flow for two-way coupled molecular-continuum HPC flow simulation. Journal of Computational Science, 61, 101617, 2022<\/p>\n
F.A. Gratl, S. Seckler, H.-J. Bungartz, P. Neumann. N Ways to Simulate Short-Range Particle Systems: Automated Algorithm Selection with the Node-Level Library AutoPas. Computer Physics Communications 273, 108262, 2022<\/p>\n
2021<\/strong><\/p>\nH. Wittenberg, P. Neumann. Transient Two-way Molecular-Continuum Coupling with OpenFOAM and MaMiCo: A sensitivity study. Computation 9(12):128, 2021<\/p>\n
M. Dottermusch, Y. Schumann, U. Kordes, M. Hasselblatt, J.E. Neumann. Spatial molecular profiling of a central nervous system low-grade diffusely infiltrative tumour with INI1 deficiency featuring a high-grade atypical teratoid\/rhabdoid tumour component. Neuropathology and Applied Neurobiology, pp. 1-6, 2021<\/p>\n
S. Seckler, F. Gratl, M. Heinen, J. Vrabec, H.-J. Bungartz, P. Neumann. AutoPas in ls1 mardyn: Massively Parallel Particle Simulations with Node-Level Auto-Tuning. Journal of Computational Science 50, 101296, 2021<\/p>\n
F. Judt, D. Klocke, R. Rios-Berrios, B. Vanniere, F. Ziemen, L. Auger, J. Biercamp, C. Bretherton, X. Chen, P. D\u00fcben, C. Hohenegger, M. Khairoutdinov, C. Kodama, L. Kornblueh, S.-J. Lin, M. Nakano, P. Neumann, W. Putman, N. R\u00f6ber, M. Roberts, M. Satoh, R. Shibuya, B. Stevens, P.L. Vidale, N. Wedi, L. Zhou. Tropical Cyclones in Global Storm-Resolving Models. Journal of the Meteorological Society of Japan. Ser. II, Article-ID 2021-029, 2021<\/p>\n
2020<\/strong><\/p>\nM. Horsch, C. Niethammer, G. Boccardo, P. Carbone, S. Chiacchiera, M. Chiricotto, J. Elliott, V. Lobaskin, P. Neumann, P. Schiffels, M. Seaton, I. Todorov, J. Vrabec, W. Cavalcanti. Semantic interoperability and characterization of data provenance in computational molecular engineering. Journal of Chemical & Engineering Data 65(3):1313-1329, 2020<\/p>\n
2019<\/strong><\/p>\nB. Stevens, M. Satoh, L. Auger, J. Biercamp, C.S. Bretherton, X. Chen, P. D\u00fcben, F. Judt, M. Khairoutdinov, D. Klocke, C. Kodama, L. Kornblueh, S.-J. Lin, P. Neumann, W.M. Putman, N. R\u00f6ber, R. Shibuya, B. Vanniere, P.L. Vidale, N. Wedi, L. Zhou. DYAMOND: the DYnamics of the Atmospheric general circulation Modeled On Non-hydrostatic Domains. Progress in Earth and Planetary Science 6(1):61, 2019.<\/p>\n
P. Neumann, P. D\u00fcben, P. Adamidis, P. Bauer, M. Brueck, L. Kornblueh, D. Klocke, B. Stevens, N. Wedi and J. Biercamp. Assessing the Scales in Numerical Weather and Climate Predictions: Will Exascale be the Rescue? Philosophical Transactions of the Royal Society A 377(2142), 20180148, 2019.<\/p>\n
D. Groen, J. Knap, P. Neumann, D. Suleimenova, L. Veen and K. Leiter. Mastering the scales: a survey on the benefits of multiscale computing software. Philosophical Transactions of the Royal Society A 377(2142), 20180147, 2019.<\/p>\n
N. Tchipev, S. Seckler, M. Heinen, J. Vrabec, M. Horsch, M. Bernreuther, C.W. Glass, C. Niethammer, N. Hammer, B. Krischok, M. Resch, D. Kranzlm\u00fcller, H. Hasse, H.-J. Bungartz and P. Neumann. TweTriS: Twenty Trillion-atom Simulation. International Journal of High Performance Computing Applications 33(5):838-854, 2019.<\/p>\n
2018<\/strong><\/p>\nJ. Vrabec, M. Bernreuther, H.-J. Bungartz, W.-L. Chen, W. Cordes, R. Fingerhut, C.W. Glass, J. Gmehling, R. Hamburger, M. Heilig, M. Heinen, M.T. Horsch, C.-M. Hsieh, M. H\u00fclsmann, P. J\u00e4ger, P. Klein, S. Knauer, T. K\u00f6ddemann, A. K\u00f6ster, K. Langenbach, S.-T. Lin, P. Neumann, J. Rarey, D. Reith, G. Rutkai, M. Schappals, M. Schenk, A. Schedemann, M. Sch\u00f6nherr, S. Seckler, S. Stephan, K. St\u00f6bener, N. Tchipev, A. Wafai, S. Werth and H. Hasse. SkaSim \u2013 Skalierbare HPC-Software f\u00fcr molekulare Simulationen in der chemischen Industrie. Chemie Ingenieur Technik 90(3), pp. 295-306, 2018.<\/p>\n
P. Solin, J.L. Gal\u00e1n-Garc\u00eda, V. Dolej\u0161\u00ed, P. Neumann, P. Svacek, J. Kruis and V. John. Recent Advances in Computing. Editorial. Applied Mathematics and Computation 319, p. 1, 2018.<\/p>\n
2017<\/strong><\/p>\nC. Riesinger, A. Bakhtiari, M. Schreiber, P. Neumann and H.-J. Bungartz. A holistic scalable implementation approach of the lattice Boltzmann method for CPU\/GPU heterogeneous clusters. Computation 5(4):48, 2017.<\/p>\n
J.E. Neumann, A.K. Wefers, S. Lambo, E. Bianchi, M. Bockstaller, M.M. Dorostkar, V. Meister, P. Schindler, A. Korshunov, K. von Hoff, J. Nowak, M. Warmuth-Metz, M.R. Schneider, I. M\u00fcller-Renner, D.J. Merk, M. Shakarami, T. Sharma, L. Chavez, R. Glass, J.A. Chan, M.M. Taketo, P. Neumann, M. Kool and U. Sch\u00fcller. A mouse model for embryonal tumors with multilayered rosettes uncovers the therapeutic potential of Sonic-hedgehog inhibitors. Nature Medicine 23(10), pp. 1191-1202, 2017.<\/p>\n
P. Neumann and X. Bian. MaMiCo: Transient Multi-Instance Molecular-Continuum Flow Simulation on Supercomputers. Computer Physics Communications 220, pp. 390-402, 2017.<\/p>\n
R. Wittmann, H.-J. Bungartz and P. Neumann. High Performance Shallow Water Kernels for Parallel Overland Flow Simulations Based on FullSWOF2D. Computers and Mathematics with Applications 74(1), pp. 110-125, 2017.<\/p>\n
P. Neumann, C. Kowitz, F. Schranner and D. Azarnykh. Interdisciplinary Teamwork in HPC Education: Challenges, Concepts, and Outcomes. Journal of Parallel and Distributed Computing 105, pp. 83-91, 2017.<\/p>\n
2016<\/strong><\/p>\nA. Atanasov, B. Uekermann, C.A. Pachajoa Mej\u00eda, H.-J. Bungartz and P. Neumann. Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier-Stokes Solvers. Computation 4(4), pp. 1-19, 2016.<\/p>\n
P. Neumann. On Transient Hybrid Lattice Boltzmann\u2014Navier-Stokes Flow Simulations. Journal of Computational Science 17, pp. 482-490, 2016.<\/p>\n
P. Neumann, H. Flohr, R. Arora, P. Jarmatz, N. Tchipev and H.-J. Bungartz. MaMiCo: Software Design for Parallel Molecular-Continuum Flow Simulations. Computer Physics Communications 200, pp. 324-335, 2016.<\/p>\n
2015<\/strong><\/p>\nP. Neumann and H.-J. Bungartz. Dynamically Adaptive Lattice Boltzmann Simulation of Shallow Water Flows with the Peano Framework. Applied Mathematics and Computation 267, pp. 795-804, 2015.<\/p>\n
2014<\/strong><\/p>\nJ. P\u00f6schl, S. Stark, P. Neumann, S. Gr\u00f6bner, D. Kawauchi, D. Jones, P. Northcott, P. Lichter, S. Pfister, M. Kool and U. Sch\u00fcller. Genomic and transcriptomic analyses match medulloblastoma mouse models to their human counterparts. Acta Neuropathologica 128(1), pp. 123-136, 2014.<\/p>\n
P. Neumann, W. Eckhardt and H.-J. Bungartz. A Radial Distribution Function-Based Open Boundary Force Model for Multi-Centered Molecules. International Journal of Modern Physics C 25(6), 1450008, 2014.<\/p>\n
P. Neumann, W. Eckhardt and H.-J. Bungartz. Hybrid Molecular-Continuum Methods: From Prototypes to Coupling Software. Computers and Mathematics with Applications 67(2), pp. 272-281, 2014.<\/p>\n
2013<\/strong><\/p>\nP. Neumann and T. Neckel. A dynamic mesh refinement technique for Lattice Boltzmann simulations on octree-like grids. Computational Mechanics 51(2), pp. 237-253, 2013.<\/p>\n
2012<\/strong><\/p>\nP. Neumann, H.-J. Bungartz, M. Mehl, T. Neckel and T. Weinzierl. A Coupled Approach for Fluid Dynamic Problems Using the PDE Framework Peano. Communications in Computational Physics 12(1), pp. 65-84, 2012.<\/p>\n
P. Neumann and T. Rohrmann. Lattice Boltzmann Simulations in the Slip and Transition Flow Regime with the Peano Framework. Open Journal of Fluid Dynamics 2(3), pp. 101-110, 2012.<\/p>\n
2011<\/strong><\/p>\nM. Mehl, T. Neckel and P. Neumann. Navier-Stokes and Lattice-Boltzmann on octree-like grids in the Peano framework. International Journal for Numerical Methods in Fluids 65(1-3), pp. 67-86, 2011.<\/p>\n
Publications in Proceedings<\/h2>\n
2025<\/strong><\/p>\nDas Sharma, A., Viot, L., Jarmatz, P., Preu\u00df, H., Neumann, P. (2025). Static Load Balancing for\u00a0Molecular-Continuum Flow Simulations with\u00a0Heterogeneous Particle Systems and\u00a0on Heterogeneous Hardware. In: Lees, M.H., et al. Computational Science \u2013 ICCS 2025. ICCS 2025. Lecture Notes in Computer Science, vol 15905. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-97632-2_17<\/p>\n
Pinzon Escobar, J.A., Hocks, A., Neumann, P. (2025). Node-Level Performance of\u00a0Adaptive Resolution in\u00a0ls1 Mardyn. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science \u2013 ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15911. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-97570-7_4<\/p>\n
2024<\/strong><\/p>\nR. Horn, P. Neumann. Towards Green HPC Job Outsourcing: Energy Models for Molecular Dynamics Simulations on Three Clusters. ISPDC 2024, pp. 1-8, 2024.<\/p>\n
P. Ivanovic, A. Windmann, P. Neumann. SmartShip: Data Decoding Optimization for Onboard AI Anomaly Detection. ISPDC 2024, pp. 1-5, 2024.<\/p>\n
A. Das Sharma, R. Horn, P. Neumann. The Error-Energy Tradeoff in Molecular and Molecular-Continuum Fluid Simulations. HPC Asia 2024 (workshop MMCP), pp. 111-121, 2024.<\/p>\n
2023<\/strong><\/p>\nP. Ivanovic, A. Ganbarov, P. Neumann. System Architecture for Real-time Condition Monitoring and Anomaly Detection on Ships. ISPDC proc., pp. 45-52, 2023<\/p>\n
L. Viot, Y. Piel, P. Neumann. From Desktop to Supercomputer: Computational Fluid Dynamics Augmented by Molecular Dynamics using MaMiCo and preCICE. ISC HPC workshop proceedings 2023, pp. 567-576, 2023<\/p>\n
P. Jarmatz, S. Lerdo, P. Neumann. Convolutional Recurrent Autoencoder for Molecular-Continuum Coupling. ICCS 2023 proceedings, LNCS 10476, pp. 535-549, 2023<\/p>\n
V. Jafari, P. Neumann. Fault Tolerance for Ensemble-based Molecular-Continuum Flow Simulations. HPC Asia 2023 proceedings, pp. 35-45, 2023<\/p>\n
2022<\/strong><\/p>\nY. Schumann, P. Neumann. Towards Data-Driven Inference of Stencils for Discrete Differential Operators. PASC 2022 proceedings, 4, 2022<\/p>\n
V. Jafari, N. Wittmer, P. Neumann. Massively Parallel Molecular-Continuum Flow Simulation with Error Control and Dynamic Ensemble Handling. HPC Asia 2022 proceedings, pp. 52-60, 2022<\/p>\n
2021<\/strong><\/p>\nP. Jarmatz, F. Maurer and P. Neumann. MaMiCo: Non-Local Means Filtering with Flexible Data-Flow for Coupling MD and CFD. ICCS 2021 proceedings, LNCS 12746, pp. 576-589, 2021<\/p>\n
2020<\/strong><\/p>\nP. Neumann and N. Wittmer. Open Boundary Modeling in Molecular Dynamics with Machine Learning. ICCS 2020 proceedings, LNCS 12142, pp. 334-347, 2020.<\/p>\n
P. Neumann. Sparse Grid Regression for Performance Prediction Using High-Dimensional Run Time Data. Euro-Par 2019: Parallel Processing Workshops, Lecture Notes in Computer Science 11997, pp. 601-612, 2020.<\/p>\n
2019<\/strong><\/p>\nP. Neumann and J. Biercamp. ESiWACE: On European Infrastructure Efforts for Weather and Climate Modeling at Exascale. eScience 2019 proceedings, pp. 498-501, 2019.<\/p>\n
P. Jarmatz and P. Neumann. MaMiCo: Parallel Noise Reduction for Multi-Instance Molecular-Continuum Flow Simulation. ICCS 2019 proceedings, LNCS 11539, pp. 451-464, 2019.<\/p>\n
F. Gratl, S. Seckler, N. Tchipev, H.-J. Bungartz and P. Neumann. AutoPas: Auto-Tuning for Particle Simulations. IEEE IPDPS workshops proceedings, pp. 748-757, 2019.<\/p>\n
2018<\/strong><\/p>\nJ. Behrens, J. Biercamp, H. Bockelmann and P. Neumann. Increasing parallelism in climate models via additional component concurrency. 2018 IEEE 14th International Conference on e-Science, pp. 271\u2013271, 2018.<\/p>\n
2017<\/strong><\/p>\nP. Neumann and M. Zellner. Lattice Boltzmann Flow Simulation on Android Devices for Interactive Mobile-Based Learning. Euro-Par 2016: Parallel Processing Workshops, Lecture Notes in Computer Science 10104, pp. 3-15, 2017.<\/p>\n
2016<\/strong><\/p>\nS. Seckler, N. Tchipev, H.-J. Bungartz and P. Neumann. Load Balancing for Molecular Dynamics Simulations on Heterogeneous Architectures. IEEE 23rd International Conference on High Performance Computing, pp. 101-110, 2016.<\/p>\n
2015<\/strong><\/p>\nN. Tchipev, A. Wafai, C.W. Glass, W. Eckhardt, A. Heinecke, H.-J. Bungartz and P. Neumann. Optimized Force Calculation of Molecular Dynamics Simulations for the Intel Xeon Phi. Euro-Par 2015: Parallel Processing Workshops, Lecture Notes in Computer Science 9523, pp. 774-785, 2015.<\/p>\n
P. Neumann, C. Kowitz, F. Schranner and D. Azarnykh. Teamwork Across Disciplines: High-Performance Computing Meets Engineering. Euro-Par 2015: Parallel Processing Workshops, Lecture Notes in Computer Science 9523, pp. 125-134, 2015.<\/p>\n
K. Unterweger, R. Wittmann, P. Neumann, T. Weinzierl and H.-J. Bungartz. Integration of FULLSWOF2D and PeanoClaw: Adaptivity and Local Time-stepping for Complex Overland Flows. Proceedings of CE2014, Lecture Notes in Computational Science and Engineering 105, pp. 181-195, 2015.<\/p>\n
2014<\/strong><\/p>\nM. Schreiber, A. Atanasov, P. Neumann and H.-J. Bungartz. Rendering of Feature-Rich Dynamically Changing Volumetric Datasets on GPU. Proceedings of the 2014 International Conference on Computational Science, Procedia Computer Science 29, pp. 648-658, 2014.<\/p>\n
2013<\/strong><\/p>\nP. Neumann and J. Harting. Massively Parallel Molecular-Continuum Simulations with the Macro-Micro-Coupling Tool. Proceedings of the NIC Workshop on Hybrid Particle-Continuum Methods in Computational Materials Physics, NIC Series 46, pp. 211-216, 2013.<\/p>\n
S. Grimm, T. Hubauer, T. Runkler, C. Pachajoa, F. Rempe, M. Seravalli and P. Neumann. A CEP Technology Stack for Situation Recognition on the Gumstix Embedded Controller. GI-Jahrestagung, pp. 1925-1930, 2013.<\/p>\n
2012<\/strong><\/p>\nP. Neumann and N. Tchipev. A Coupling Tool for Parallel Molecular Dynamics-Continuum Simulations. Proceedings of the 11th International Symposium on Parallel and Distributed Computing, pp. 111-118, 2012.<\/p>\n
D. Jarema, P. Neumann and T. Weinzierl. A Multiscale Approach for Particle Transport Simulation in Low Reynolds Number Flows. Student Paper Competition of the 12th Copper Mountain Conference on Iterative Methods, 2012.<\/p>\n
2011<\/strong><\/p>\nM. Schreiber, P. Neumann, S. Zimmer and H.-J. Bungartz. Free-Surface Lattice-Boltzmann Simulation on Many-Core Architectures. Proceedings of the 2011 International Conference on Computational Science, Procedia Computer Science 4, pp. 984-993, 2011.<\/p>\n
Books and Monographs<\/h2>\n
H.-J. Bungartz, S. Reiz, B. Uekermann, P. Neumann, W.E. Nagel (Eds.). Software for Exascale Computing \u2013 SPPEXA 2016-2019. Lecture Notes in Computational Science and Engineering 136, Springer, 2020.<\/p>\n
P. Neumann, J. Kunkel. Chapter 07: High-Performance Techniques for Big Data Processing. In Knowledge Discovery in Big Data from Astronomy and Earth Observation, pp. 137-158, 2020<\/p>\n
P. Neumann. Algorithms and HPC Software for Molecular-Continuum Flow Simulation. Habilitation thesis (cumulative), 2019<\/p>\n
H.-J. Bungartz, P. Neumann, W.E. Nagel (Eds.). Software for Exascale Computing \u2013 SPPEXA 2013-2015. Lecture Notes in Computational Science and Engineering 113, Springer, 2016.<\/p>\n
P. Neumann. Hybrid Multiscale Simulation Approaches for Micro- and Nanoflows. Ph.D. thesis, Dr.<\/abbr> Hut, 2013.<\/p>\n","protected":false},"excerpt":{"rendered":"Publications in Journals 2025 Schlumbohm, S., Neumann, J.E. & Neumann, P. HarmonizR: blocking and singular feature data adjustment improve runtime efficiency and data preservation.\u00a0BMC Bioinformatics\u00a026, 47 (2025). https:\/\/doi.org\/10.1186\/s12859-025-06073-9 Koch, M., […]<\/p>\n","protected":false},"author":2223,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-210","page","type-page","status-publish","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/pages\/210","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/users\/2223"}],"replies":[{"embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/comments?post=210"}],"version-history":[{"count":71,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/pages\/210\/revisions"}],"predecessor-version":[{"id":1667,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/pages\/210\/revisions\/1667"}],"wp:attachment":[{"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/media?parent=210"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/categories?post=210"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.hsu-hh.de\/hpc\/wp-json\/wp\/v2\/tags?post=210"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}