Infering Boundary Conditions in Finite Volume Neural Networks

Author:

Horuz Coşku CanORCID,Karlbauer MatthiasORCID,Praditia TimothyORCID,Butz Martin V.ORCID,Oladyshkin SergeyORCID,Nowak WolfgangORCID,Otte SebastianORCID

Publisher

Springer International Publishing

Reference19 articles.

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2. Butz, M.V., Bilkey, D., Humaidan, D., Knott, A., Otte, S.: Learning, planning, and control in a monolithic neural event inference architecture. Neural Netw. 117, 135–144 (2019)

3. Chen, R.T.Q., Rubanova, Y., Bettencourt, J., Duvenaud, D.: Neural ordinary differential equations (2019)

4. Fletcher, C.A.: Generating exact solutions of the two-dimensional burgers’ equations. Int. J. Numer. Meth. Fluids 3, 213–216 (1983)

5. Guen, V.L., Thome, N.: Disentangling physical dynamics from unknown factors for unsupervised video prediction. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 11474–11484 (2020)

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1. Opportunities and challenges in CO2 geologic utilization and storage;Advances in Geo-Energy Research;2023-05-05

2. Physical Domain Reconstruction with Finite Volume Neural Networks;Applied Artificial Intelligence;2023-04-29

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