Search Results for author: Raphael Leiteritz

Found 6 papers, 1 papers with code

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps

no code implementations16 Feb 2023 Kyle Davis, Raphael Leiteritz, Dirk Pflüger, Miriam Schulte

The ability for groundwater heat pumps to meet space heating and cooling demands without relying on fossil fuels, has prompted their mass roll out in dense urban environments.

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

2 code implementations13 Oct 2022 Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert

With those metrics we identify tasks which are challenging for recent ML methods and propose these tasks as future challenges for the community.

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps

no code implementations29 Mar 2022 Raphael Leiteritz, Kyle Davis, Miriam Schulte, Dirk Pflüger

Climate control of buildings makes up a significant portion of global energy consumption, with groundwater heat pumps providing a suitable alternative.

How to Avoid Trivial Solutions in Physics-Informed Neural Networks

no code implementations10 Dec 2021 Raphael Leiteritz, Dirk Pflüger

The advent of scientific machine learning (SciML) has opened up a new field with many promises and challenges in the field of simulation science by developing approaches at the interface of physics- and data-based modelling.

Learning Free-Surface Flow with Physics-Informed Neural Networks

no code implementations17 Nov 2021 Raphael Leiteritz, Marcel Hurler, Dirk Pflüger

The interface between data-driven learning methods and classical simulation poses an interesting field offering a multitude of new applications.

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