Machine Learning

Dynamic Mode Decomposition of Large-Scale Aerodynamic Simulations of Base-Bleed Projectiles

This study applies Dynamic Mode Decomposition to analyze and reduce CFD data of base-bleed military projectiles, identifying dominant dynamic modes of the velocity field from 2D axisymmetric simulations.

Application of Scientific Machine Learning Techniques for Fluid Dynamics Analysis

Application of machine learning techniques, informed by governing physical laws, for fluid dynamics analysis.

Machine Learning Application for Weld Quality Characterization

Study of dynamic resistance curve patterns resulting from spot weld quality levels.

Assessment of Flow Indices and Field Sectoring for Strategic Oil Well Placement and Production

This work investigates optimal well placement in a 3D heterogeneous reservoir by comparing different location strategies based on flow zone indicators (FZI and FZI*).