Matthias Ihme
Orcid: 0000-0002-4158-7050
According to our database1,
Matthias Ihme
authored at least 26 papers
between 2008 and 2024.
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Bibliography
2024
J. Chem. Inf. Model., 2024
2023
CoRR, 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens., 2022
Towards Data-Informed Motion Artifact Reduction in Quantitative CT Using Piecewise Linear Interpolation.
IEEE Trans. Computational Imaging, 2022
Quail: A lightweight open-source discontinuous Galerkin code in Python for teaching and prototyping.
SoftwareX, 2022
A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units.
Comput. Phys. Commun., 2022
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior.
CoRR, 2022
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning.
CoRR, 2022
2021
Development of a particle collision algorithm for discontinuous Galerkin simulations of compressible multiphase flows.
J. Comput. Phys., 2021
Efficient projection kernels for discontinuous Galerkin simulations of disperse multiphase flows on arbitrary curved elements.
J. Comput. Phys., 2021
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data.
CoRR, 2021
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion.
CoRR, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
A two-way coupled Euler-Lagrange method for simulating multiphase flows with discontinuous Galerkin schemes on arbitrary curved elements.
J. Comput. Phys., 2020
CoRR, 2020
Data-assisted combustion simulations with dynamic submodel assignment using random forests.
CoRR, 2020
2019
Shock capturing for discontinuous Galerkin methods with application to predicting heat transfer in hypersonic flows.
J. Comput. Phys., 2019
Efficient time-stepping techniques for simulating turbulent reactive flows with stiff chemistry.
Comput. Phys. Commun., 2019
2017
J. Comput. Phys., 2017
2016
An entropy-residual shock detector for solving conservation laws using high-order discontinuous Galerkin methods.
J. Comput. Phys., 2016
2015
J. Comput. Phys., 2015
2014
Discontinuous Galerkin method for multicomponent chemically reacting flows and combustion.
J. Comput. Phys., 2014
2012
Regularization of reaction progress variable for application to flamelet-based combustion models.
J. Comput. Phys., 2012
2008
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems.
Neural Comput., 2008