DARLIK Fateme

Main Referenced Co-authors

PETERS, Bernhard (3)

ADHAV, Prasad (2)

AMINNIA, Navid (1)

BESSERON, Xavier (1)

HASSANZADEH SARAEI, Sina (1)

Main Referenced Keywords

Discrete element method (2); Biomass source (1); Blast furnace (1); Continuum approach (1); Coupled CFD-DEM (1);

Main Referenced Unit & Research Centers

LuXDEM - University of Luxembourg: Luxembourg XDEM Research Centre (2)

ULHPC - University of Luxembourg: High Performance Computing (1)

Main Referenced Disciplines

Mechanical engineering (3)

Chemical engineering (1)

Publications (total 4)

Search in publications

The most downloaded

800 downloads

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 https://hdl.handle.net/10993/53900

The most cited

40 citations (OpenAlex)

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

https://hdl.handle.net/10993/60405

https://hdl.handle.net/10993/53900

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

https://hdl.handle.net/10993/54583

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

https://hdl.handle.net/10993/54858

Peer reviewed