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

Project Information

SpaTe

Grant agreement ID: 863850

DOI 10.3030/863850

EC signature date 13 February 2020

Start date 1 September 2020

End date 31 August 2025

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 998 750,00

EU contribution € 1 998 750,00

Coordinated by

TECHNISCHE UNIVERSITAET MUENCHEN
Germany

Publications

Conference proceedings (3)

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

Peer reviewed articles (3)

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