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Prognosis of water levels in a moor groundwater system influenced by hydrology and water extraction using an artificial neural networkEGU General Assembly 2022, page EGU21-3013. Copernicus GmbH, (2021)Input-Output Dataset for Physics-inspired Artificial Neural Network for Dynamic SystemDataset, (2020)Related to: Praditia, T., Walser, T., Oladyshkin, S. and Nowak, W.: Improving Thermochemical Energy Storage dynamics forecast with Physics-Inspired Neural Network architecture. Energies 2020.Finite Volume Neural Networks: a Hybrid Modeling Strategy for Subsurface Contaminant Transport(2021)Using physics-based regularization in Artificial Neural Networks to predict thermochemical energy storage systemsAmerican Geophysical Union, Fall Meeting 2019, page IN32B-15. Smithsonian Astrophysical Observatory, (2019)Universal Differential Equation for Diffusion-Sorption Problem in Porous Media FlowEGU General Assembly 2022, page EGU21-49. Copernicus GmbH, (2021)The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos TheoryNeural Networks, (2023 (accepted))PDEBench: An Extensive Benchmark for Scientific Machine Learning36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks, (2022)Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network ArchitectureEnergies, 13 (15):
3873 (2020)PDEBench Datasets(2022)Physics-Informed Machine Learning in Hydrology II OralAmerican Geophysical Union, Fall Meeting 2021, page H34F. American Geophysical Union, (2021)