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PDEBench: An Extensive Benchmark for Scientific Machine Learning, , , , , , and . 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, (2022)Surrogate-data-enriched Physics-Aware Neural Networks, , , and . Proceedings of the Northern Lights Deep Learning Workshop 2022, 3, page 1-8. Septentrio Academic Publishing, (2022)How to Avoid Trivial Solutions in Physics-Informed Neural Networks, and . preprint, (2021)A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps, , , and . (2022)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.PDEBench Datasets, , , , , , and . (2022)Deep Learning-Based Surrogate Modelling of Thermal Plumes for Shallow Subsurface Temperature Approximation, , , and . AI for Earth Sciences ICLR Workshop 2022, (April 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.Learning Free-Surface Flow with Physics-Informed Neural Networks, , and . 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), page 1668-1673. Piscataway, IEEE, (2021)Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps, , , and . (2023)