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Bissantz, Julian
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1

Application of dense neural networks for manifold-based mod..:

Bissantz, Julian ; Karpowski, Jeremy ; Steinhausen, Matthias...
Applications in Energy and Combustion Science.  13 (2023)  - p. 100113 , 2023
Link: https://doi.org/10.1016/..
 
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2

A Case Study on Coupling OpenFOAM with Different Machine Le..:

, In: 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S),
Orland, Fabian ; Brose, Kim Sebastian ; Bissantz, Julian... - p. 7-12 , 2022
Link: https://doi.org/10.1109/..
 
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3

Application of dense neural networks for manifold-based mod..:

Bissantz, Julian ; Karpowski, Jeremy ; Steinhausen, Matthias...
http://arxiv.org/abs/2308.05775.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

A Case Study on Coupling OpenFOAM with Different Machine Le..:

Orland, Fabian ; Brose, Kim Sebastian ; Bissantz, Julian...
info:eu-repo/semantics/altIdentifier/isbn/978-1-66546-207-5.  , 2022
Link: https://publications.rwt..
 
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5

Application of dense neural networks for manifold-based mod..:

Julian Bissantz ; Jeremy Karpowski ; Matthias Steinhausen...
http://www.sciencedirect.com/science/article/pii/S2666352X2300002X.  , 2023
Link: https://doi.org/10.1016/..
 
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6

Introduction to machine learning in the application area of..:

Jens Henrik Göbbert ; Ludovico Nista ; Julian Bissantz...
doi:10.5281/zenodo.7566944.  , 2022
Link: https://zenodo.org/recor..
 
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7

Ein systematisch gestalteter Softwareprototyp zur Erhöhung ..:

Becker, Felix ; Bongartz, Julian ; Robra-Bissantz, Susanne
978-3-95908-21-1.  , 2020
Link: https://nbn-resolving.or..
 
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