Publications and responsibilities
A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
Screening thermoelectric materials with ab initio atomistic modelling and machine learning techniques
High-Resolution Cfd Modelling and Prediction of Terrain-Induced Wind Shear and Turbulence for Aviation Safety.
The paper describes the ability of a high-resolution Computational Fluid Dynamics model to predict terrain-induced turbulence and wind shear close to the ground for aviation safety. The capabilities of the model are demonstrated by applying it to the Sandnessjøen Airport, Stokka, in Norway, an...
Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine
The key to the better design of an industrial scale wind turbine is to understand the influence of blade geometry and its dynamics on the complicated flow-structures. An industrial-scale wind turbine can be numerically represented using various approaches (from simpler 2D steady flow to complex...
Discovering Thermoelectric Materials Using Machine Learning: Insights and Challenges
This work involves the use of combined forces of data-driven machine learning models and high fidelity density functional theory for the identification of new potential thermoelectric materials. The traditional method of thermoelectric material discovery from an almost limitless search space of...