DARLIK, F. (2023). PHYSICALLY INFORMED NEURAL NETWORKS TO REPRESENT MOTION OF GRANULAR MATERIAL [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/60405 |
Aminnia, N., Adhav, P., Darlik, F., Mashhood, M., Hassanzadeh Saraei, S., Besseron, X., & Peters, B. (15 February 2023). Three-dimensional CFD-DEM simulation of raceway transport phenomena in a blast furnace. Fuel, 334 (2). doi:10.1016/j.fuel.2022.126574 Peer Reviewed verified by ORBi |
Darlik, F., & Peters, B. (2023). Reconstruct the biomass particles fields in the particle-fluid problem using continuum methods by applying the physics-informed neural network. Results in Engineering, 17, 100917. doi:10.1016/j.rineng.2023.100917 Peer reviewed |
Darlik, F., Adhav, P., & Peters, B. (2022). Prediction of the biomass particles through the physics informed neural network. ECCOMAS Congress 2022 - 8th European Congress on Computational Methods in Applied Sciences and Engineering. doi:10.23967/eccomas.2022.223 Peer reviewed |