Matthias Ihme

32 papers A* 1Journal 30Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Approximately pressure-equilibrium-preserving scheme for fully conservative simulations of compressible multi-species and real-fluid interfacial flows.
J. Comput. Phys.
Hiroshi Terashima, Nguyen Ly, Matthias Ihme
2024 J jnl
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport.
CoRR
M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan, Matthias Ihme, Qingkai Kong, Donald D. Lucas, Stephen C. Myers
2024 J jnl
A high-order diffused-interface approach for two-phase compressible flow simulations using a discontinuous Galerkin framework.
J. Comput. Phys.
Niccolò Tonicello, Matthias Ihme
2024 J jnl
A regularized-interface method as a unified formulation for simulations of high-pressure multiphase flows.
J. Comput. Phys.
Nguyen Ly, Matthias Ihme
2024 J jnl
Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview.
J. Chem. Inf. Model.
Andre Nicolle, Sili Deng, Matthias Ihme, Nursulu Kuzhagaliyeva, Emad Al Ibrahim, Aamir Farooq
2023 J jnl
Accelerating large-eddy simulations of clouds with Tensor Processing Units.
CoRR
Sheide Chammas, Qing Wang, Tapio Schneider, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2023 A* conf
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
NeurIPS
Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y. Poludnenko, Matthias Ihme
2023 J jnl
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data.
CoRR
Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline H. Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Y. Poludnenko, Matthias Ihme
2022 J jnl
A TensorFlow simulation framework for scientific computing of fluid flows on tensor processing units.
Comput. Phys. Commun.
Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2022 J jnl
Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens.
Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen
2022 J jnl
Quail: A lightweight open-source discontinuous Galerkin code in Python for teaching and prototyping.
SoftwareX
Eric J. Ching, Brett Bornhoft, Ali Lasemi, Matthias Ihme
2022 J jnl
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior.
CoRR
John Burge, Matthew R. Bonanni, R. Lily Hu, Matthias Ihme
2022 J jnl
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning.
CoRR
Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen, Matthias Ihme
2022 J jnl
Towards Data-Informed Motion Artifact Reduction in Quantitative CT Using Piecewise Linear Interpolation.
IEEE Trans. Computational Imaging
Emeric Boigné, Dilworth Y. Parkinson, Matthias Ihme
2021 J jnl
A TensorFlow Simulation Framework for Scientific Computing of Fluid Flows on Tensor Processing Units.
CoRR
Qing Wang, Matthias Ihme, Yi-Fan Chen, John R. Anderson
2021 — conf
Accelerating High-fidelity Combustion Simulations with Classification Algorithms.
AAAI Spring Symposium: MLPS
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
2021 J jnl
Development of a particle collision algorithm for discontinuous Galerkin simulations of compressible multiphase flows.
J. Comput. Phys.
Eric J. Ching, Matthias Ihme
2021 J jnl
Efficient projection kernels for discontinuous Galerkin simulations of disperse multiphase flows on arbitrary curved elements.
J. Comput. Phys.
Eric J. Ching, Matthias Ihme
2021 J jnl
Interpretable Data-driven Methods for Subgrid-scale Closure in LES for Transcritical LOX/GCH4 Combustion.
CoRR
Wai Tong Chung, Aashwin Ananda Mishra, Matthias Ihme
2021 J jnl
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data.
CoRR
Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen
2020 J jnl
A two-way coupled Euler-Lagrange method for simulating multiphase flows with discontinuous Galerkin schemes on arbitrary curved elements.
J. Comput. Phys.
Eric J. Ching, Steven R. Brill, Michael Barnhardt, Matthias Ihme
2020 J jnl
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics.
CoRR
John Burge, Matthew Bonanni, Matthias Ihme, R. Lily Hu
2020 J jnl
Data-assisted combustion simulations with dynamic submodel assignment using random forests.
CoRR
Wai Tong Chung, Aashwin Ananda Mishra, Nikolaos Perakis, Matthias Ihme
2020 J jnl
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data.
CoRR
Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson
2019 J jnl
Efficient time-stepping techniques for simulating turbulent reactive flows with stiff chemistry.
Comput. Phys. Commun.
Hao Wu, Peter C. Ma, Matthias Ihme
2019 J jnl
Shock capturing for discontinuous Galerkin methods with application to predicting heat transfer in hypersonic flows.
J. Comput. Phys.
Eric J. Ching, Yu Lv, Peter A. Gnoffo, Michael Barnhardt, Matthias Ihme
2017 J jnl
An entropy-stable hybrid scheme for simulations of transcritical real-fluid flows.
J. Comput. Phys.
Peter C. Ma, Yu Lv, Matthias Ihme
2016 J jnl
An entropy-residual shock detector for solving conservation laws using high-order discontinuous Galerkin methods.
J. Comput. Phys.
Yu Lv, Yee Chee See, Matthias Ihme
2015 J jnl
Entropy-bounded discontinuous Galerkin scheme for Euler equations.
J. Comput. Phys.
Yu Lv, Matthias Ihme
2014 J jnl
Discontinuous Galerkin method for multicomponent chemically reacting flows and combustion.
J. Comput. Phys.
Yu Lv, Matthias Ihme
2012 J jnl
Regularization of reaction progress variable for application to flamelet-based combustion models.
J. Comput. Phys.
Matthias Ihme, Lee Shunn, Jian Zhang
2008 J jnl
Generation of Optimal Artificial Neural Networks Using a Pattern Search Algorithm: Application to Approximation of Chemical Systems.
Neural Comput.
Matthias Ihme, Alison L. Marsden, Heinz Pitsch