Spatio-Temporal Methods for Data-driven Computer Animation and Simulation

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics

Author(s): Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun, Nils Thuerey
Published in: Advances in Neural Information Processing, Issue 1, 2022
Publisher: NeurIPS

Half-Inverse Gradients for Physical Deep Learning

Author(s): Patrick Schnell, Philipp Holl, Nils Thuerey
Published in: ICLR, Issue 2022, 2022, Page(s) 1-22
Publisher: ICLR

Global Transport for Fluid Reconstruction with Learned Self-Supervision

Author(s): Erik Franz; Barbara Solenthaler; Nils Thuerey
Published in: CVPR, Issue 1, 2021
Publisher: CVPR
DOI: 10.1109/cvpr46437.2021.00168

Reviving autoencoder pretraining

Author(s): You Xie; Nils Thuerey
Published in: Neural Computing and Applications, Issue 35, 2022, ISSN 0941-0643
Publisher: Springer Verlag
DOI: 10.1007/s00521-022-07892-0

Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons

Author(s): Björn List; Li-Wei Chen; Nils Thuerey
Published in: Crossref, Issue 1, 2022, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1017/jfm.2022.738

Towards high-accuracy deep learning inference of compressible flows over aerofoils

Author(s): Li-Wei Chen; Nils Thuerey
Published in: Crossref, Issue 1, 2022, ISSN 0022-1120
Publisher: Cambridge University Press
DOI: 10.1016/j.compfluid.2022.105707

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