A New Load Balancing Approach for Coupled Multi-Physics Simulations. - Amin Totounferoush; Neda Ebrahimi Pour; Juri Schröder; Sabine Roller; Miriam Mehl (IPDPS Workshops, 2019)

ExaFSA: Parallel Fluid-Structure-Acoustic Simulation. - Florian Lindner; Amin Totounferoush; Miriam Mehl; Benjamin Uekermann; Neda Ebrahimi Pour; Verena Krupp; Sabine Roller; Thorsten Reimann; Dörte C. Sternel; Ryusuke Egawa; Hiroyuki Takizawa; Frédéric Simonis (Software for Exascale Computing, 2020)

Parallel Machine Learning of Partial Differential Equations. - Amin Totounferoush; Neda Ebrahimi Pour; Sabine Roller; Miriam Mehl (IPDPS Workshops, 2021)

Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE. - Amin Totounferoush; Frédéric Simonis; Benjamin Uekermann; Miriam Schulte (Algorithms, 2021)

Partitioned Deep Learning of Fluid-Structure Interaction. - Amin Totounferoush; Axel Schumacher; Miriam Schulte (CoRR, 2021)

preCICE v2: A Sustainable and User-Friendly Coupling Library. - Gerasimos Chourdakis; Kyle Davis; Benjamin Rodenberg; Miriam Schulte; Frédéric Simonis; Benjamin Uekermann; Georg Abrams; Hans-Joachim Bungartz; Lucia Cheung Yau; Ishaan Desai; Konrad Eder; Richard Hertrich; et al. (CoRR, 2021)

A data-based inter-code load balancing method for partitioned solvers. - Amin Totounferoush; Neda Ebrahimi Pour; Juri Schröder; Sabine Roller; Miriam Mehl (J. Comput. Sci., 2021)

preCICE Distribution Version v2104.0. - Gerasimos Chourdakis; Kyle Davis; Benjamin Rodenberg; Miriam Schulte; Frédéric Simonis; Benjamin Uekermann; Georg Abrams; Hans-Joachim Bungartz; Lucia Cheung Yau; Ishaan Desai; Konrad Eder; Richard Hertrich; et al. (DaRUS, 2021)

preCICE Distribution Version v2104.0. - Gerasimos Chourdakis; Kyle Davis; Benjamin Rodenberg; Miriam Schulte; Frédéric Simonis; Benjamin Uekermann; Georg Abrams; Hans-Joachim Bungartz; Lucia Cheung Yau; Ishaan Desai; Konrad Eder; Richard Hertrich; et al. (DaRUS, 2021)

Data-integrated methods for performance improvement of massively parallel coupled simulations. - Amin Totounferoush (2022)

Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning. - Tim Schneider; Amin Totounferoush; Wolfgang Nowak; Steffen Staab (CoRR, 2023)

Paving the way for scientific foundation models: enhancing generalization and robustness in PDEs with constraint-aware pre-training. - Amin Totounferoush; Serge Kotchourko; Michael W. Mahoney; Steffen Staab (CoRR, 2025)