| Coarse graining Euler-Lagrange simulations of cohesive particle fluidization J Tausendschön, J Kolehmainen, S Sundaresan, S Radl Powder Technology 364, 167-182, 2020 | 53 | 2020 |
| Deep neural network-based heat radiation modelling between particles and between walls and particles J Tausendschön, S Radl International Journal of Heat and Mass Transfer 177, 121557, 2021 | 34 | 2021 |
| Machine Learning for heat radiation modeling of bi-and polydisperse particle systems including walls J Tausendschön, G Stöckl, S Radl Particuology 74, 119-140, 2023 | 7 | 2023 |
| Machine Learning‐Based Filtered Drag Model for Cohesive Gas‐Particle Flows J Tausendschön, S Sundaresan, M Salehi, S Radl Chemical Engineering & Technology 46 (7), 1373-1386, 2023 | 2 | 2023 |
| MACHINE LEARNING-BASED CLOSURE DEVELOPMENT FOR MODELING OF COHESIVE GAS-PARTICLE FLOWS JFV Tausendschön, M Salehi, S Radl 18th International Conference on Fluid Flow Technologies: CMFF 2022, 2022 | | 2022 |
| Machine Learning-Based View Factor Modelling in Polydisperse Particle Beds Including Walls J Tausendschön, S Radl, G Stöckl 2021 AIChE Annual Meeting, 2021 | | 2021 |
| Deep neural network-based view factor modelling of radiative heat transfer between particle-particle and particle-wall J Tausendschön, S Radl AIChE Annual Meeting 2020, 2020 | | 2020 |
| Modeling Cohesive Gas-Particle Flows with a Parcel-Based Lagrangian Approach S Radl, J Tausendschön 2019 AIChE Annual Meeting, 2019 | | 2019 |
