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PDEBench Datasets : Data for "PDEBench: An Extensive Benchmark for Scientific Machine Learning"

, , , , , , and . 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.
DOI: 10.18419/darus-2986

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PDEBench Datasets, , , , , , and . (2022)PDEBench Datasets : Data for "PDEBench: An Extensive Benchmark for Scientific Machine Learning", , , , , , and . 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.MILIE : Modular & Iterative Multilingual Open Information Extraction, , , , , , , and . Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 1 : Long Papers, page 6939-6950. Stroudsburg, Association for Computational Linguistics, (2022)A fast numerical scheme for causal relativistic hydrodynamics with dissipation., and . J. Comput. Physics, 230 (18): 7002-7017 (2011)PDEBench: An Extensive Benchmark for Scientific Machine Learning, , , , , , and . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, (2022)A new scheme of causal viscous hydrodynamics for relativistic heavy-ion collisions: A Riemann solver for quark-gluon plasma., , , and . J. Comput. Physics, (2014)PDEBench Pretrained Models : Pretrained models for "PDEBench: An Extensive Benchmark for Scientific Machine Learning", , , , , , and . 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.