Contact
Pfaffenwaldring 61
70569 Stuttgart
Germany
Room: 1.009
Office Hours
By appointment only.
C++-Course for SimTech
Abitur
2014 in Böblingen
Akademic Degrees
2019: B.Sc. in Simulation Technology, University of Stuttgart
2021: M.Sc. in Simulation Technology, University ofStuttgart
Akademic Career
since Juni 2021: Doctoral Researcher, Institute for Modelling Hydraulic and Environmental Systems, University of Stuttgart (Germany)
Publications
- Vahabzadeh, E., Buntic, I., Nazari, F., Flemisch, B., Helmig, R., & Niasar, V. (2025). Applicability of the Vertical Equilibrium model to underground hydrogen injection and withdrawal. International Journal of Hydrogen Energy, 106, 790–805. https://doi.org/10.1016/j.ijhydene.2025.01.201
- Boon, M., Buntic, I., Ahmed, K., Dopffel, N., Peters, C., & Hajibeygi, H. (2024). Microbial induced wettability alteration with implications for Underground Hydrogen Storage. Scientific Reports, 14, Article 1. https://doi.org/10.1038/s41598-024-58951-6
- Eller, J., Sauerborn, T., Becker, B., Buntic, I., Gross, J., & Helmig, R. (2022). Modeling Subsurface Hydrogen Storage With Transport Properties From Entropy Scaling Using the PC-SAFT Equation of State. Water Resources Research, 58, Article 4. https://doi.org/10.1029/2021WR030885
- Becker, B., Guo, B., Buntic, I., Flemisch, B., & Helmig, R. (2022). An Adaptive Hybrid Vertical Equilibrium/Full-Dimensional Model for Compositional Multiphase Flow. Water Resources Research, 58, Article 1. https://doi.org/10.1029/2021WR030990
- Buntic, I. (2021). Modelling Turbulence in Coupled Environments: The K-Shear Stress Transport Model [Master’s Thesis].
- Buntic, I. (2018). Investigation of the Streamline-Upwind Petrov-Galerkin method for the Navier-Stokes equations [Bachelorarbeit]. In 0.
- Buntic, I. (2018). Implementation of a finite element discretization for Stokes problems in DuMux [Propaedeuticum].
- Buntic, I. (2017). Investigation of the SUPG method: Concept and 1-d implementation [Projektarbeit].
- Buntic, I., Schneider, M., Flemisch, B., & Helmig, R. (2024). A fully-implicit solving approach to an adaptive multi-scale model -- coupling a vertical-equilibrium and full-dimensional model for compressible, multi-phase flow in porous media. https://arxiv.org/abs/2405.18285
Current research projects
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EXC 2075, PN 5-2A(II): Fully-implicit local dynamic model adaptivity with machine-learned scale bridging
Duration: 09/2023-12/2025
Department: LH2
Leader: Bernd Flemisch
Funding: DFG