Publications

Patrick Stiller, Varun Makdani, Franz Pöschel, Richard Pausch, Alexander Debus, Michael Bussmann, and Nico Hoffmann. Continual learning autoencoder training for a particle-in-cell simulation via streaming. 2022. [PUMA: Continual Zno autoencoder imported learning particle-in-cell simulation training] URL

David Schaller, Marc Hellmuth, and Peter F. Stadler. AsymmeTree: A Flexible Python Package for the Simulation of Complex Gene Family Histories. Software, (1)3:276–298, MDPI AG, August 2022. [PUMA: AsymmeTree Family Gene Histories Package Python Simulation zno] URL

Johannes Pahlke, and Ivo Sbalzarini. Proven Distributed Memory Parallelization of Particle Methods. ACM Trans. Parallel Comput., Association for Computing Machinery, New York, NY, USA, Sep 18, 2024. [PUMA: topic_lifescience algorithmics, algorithms, bounds, definition, distributed engineering formal memory, meshfree methods, parallelization, particle scalability simulation software] URL

Karen G. Soans, Ana Patricia Ramos, Jaydeep Sidhaye, Abhijeet Krishna, Anastasia Solomatina, Karl B. Hoffmann, Raimund Schl��ler, Jochen Guck, Ivo F. Sbalzarini, Carl D. Modes, and Caren Norden. Collective cell migration during optic cup formation features changing cell-matrix interactions linked to matrix topology. Current Biology, (32)22:4817--4831.e9, 2022. [PUMA: topic_lifescience cell collective cup, matrix migration, optic simulation topology topology, zebrafish,] URL