Research output per year
Research output per year
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Dive into the research topics where Josef Franz Viktor Tausendschön is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Machine Learning-Based Filtered Drag Model for Cohesive Gas-Particle Flows
Tausendschön, J., Sundaresan, S., Salehi, M. & Radl, S., 2023, (Accepted/In press) In: Chemical Engineering and Technology.Research output: Contribution to journal › Article › peer-review
Open Access -
Machine Learning for heat radiation modeling of bi- and polydisperse particle systems including walls
Tausendschön, J., Stöckl, G. & Radl, S., Mar 2023, In: Particuology. 74, p. 119-140 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Simulation der H2O2-Dekontamination eines Labors
Tausendschön, J. F. V., Benabchiasli, H. & Radl, S., 1 Mar 2023Research output: Book/Report › Commissioned report
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Entwicklungsbericht Dekontamination und Materialtests
Grgic, E., Schweitzer, M., Tausendschön, J. F. V. & Radl, S., 9 Aug 2022, (Unpublished)Research output: Book/Report › Commissioned report
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MACHINE LEARNING-BASED CLOSURE DEVELOPMENT FOR MODELING OF COHESIVE GAS-PARTICLE FLOWS
Tausendschön, J. F. V., Salehi, M. & Radl, S., 30 Aug 2022, Conference on Modelling Fluid Flow. 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open Access
Activities
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Filtered Gas Particle Flow Models: Tools for Closure Development
Stefan Radl (Keynote speaker), Maryam Askarishahi (Contributor), Mohammadsadegh Salehi (Contributor), Nazanin Ghods (Contributor), Josef Franz Viktor Tausendschön (Contributor) & Sankaran Sundaresan (Contributor)
20 Apr 2023Activity: Talk or presentation › Invited talk at conference or symposium › Science to science
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A Set of Machine Learning-Based Filtered Drag Closures for Cohesive Gas- Particle Flows
Josef Franz Viktor Tausendschön (Contributor), Mohammadsadegh Salehi (Contributor), Sankaran Sundaresan (Contributor) & Stefan Radl (Speaker)
3 Mar 2023Activity: Talk or presentation › Invited talk at conference or symposium › Science to science
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MACHINE LEARNING-BASED CLOSURE DEVELOPMENT FOR MODELING OF COHESIVE GAS-PARTICLE FLOWS
Josef Franz Viktor Tausendschön (Contributor), Mohammadsadegh Salehi (Speaker) & Stefan Radl (Contributor)
31 Aug 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Neural network-based filtered drag model for cohesive gas-particle flow
Josef Franz Viktor Tausendschön (Speaker), Stefan Radl (Contributor) & Sankaran Sundaresan (Contributor)
6 Jun 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science
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Neural network-based filtered drag model for cohesive gas-particle flows
Josef Franz Viktor Tausendschön (Keynote speaker), Stefan Radl (Contributor) & Sankaran Sundaresan (Contributor)
8 Jul 2022Activity: Talk or presentation › Talk at conference or symposium › Science to science