S. Hirschmann, M. Lahnert, C. Schober, M. Brunn, M. Mehl, und D. Pflüger. High performance computing in science and engineering '18 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2018, Seite 409-423. Cham, Springer, (2019)
R. Leiteritz, M. Hurler, und D. Pflüger. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Seite 1668-1673. Piscataway, IEEE, (2021)
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks. arXiv: 2210.07182.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, und M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.
