Research

Our transformative research in both fundamental and applied flow problems is empowered by a comprehensive set of methodologies, including:

• High-Fidelity Simulation Frameworks: Leveraging advanced simulation technologies to achieve a detailed and accurate representation of complex flow phenomena.

• All-Mach Algorithm Approaches: Employing algorithms that are universally applicable across various Mach numbers, ensuring versatility in our analyses.

• Statistical and High-Order Spectral Tools: Utilizing statistical methods and high-order spectral tools for a sophisticated and in-depth examination of flow characteristics.

• Operator-Aware and Data-Driven Analysis Techniques: Integrating operator-aware methodologies and data-driven approaches to enhance the depth and efficiency of our analyses.

• Fluid-Thermodynamic Decomposition: Employing techniques for the systematic breakdown of fluid-thermodynamic interactions, providing a nuanced understanding of the underlying processes.

• Modal Decomposition: Applying modal decomposition methods to identify and isolate specific modes of behavior within complex flow systems.

• Generalized Linear Analysis Tools for Compressible Three-Dimensional Flows: Employing specialized tools for the comprehensive analysis of compressible three-dimensional flows, ensuring a thorough examination of intricate phenomena.

• Tightly Coupled Experimental Collaborations: Establishing close collaborations with experimental counterparts to synergize theoretical and practical insights, fostering a holistic approach to research endeavors.

These methodologies collectively form the foundation of our research endeavors, enabling us to unravel the intricacies of flow problems and contribute to advancements in both theoretical understanding and practical applications.