Skip to content
GCC AI Research

Search

Results for "CFD"

KAUST partners with McLaren Racing on R&D

KAUST ·

KAUST and McLaren Racing have signed a five-year R&D agreement focused on extreme performance technology. The partnership will focus on computational fluid dynamics (CFD), machine learning, fuels and lubricants, advanced mathematics and sensors and electronics. The collaboration aims to advance research and offer talent development for KAUST graduate students through research and internships. Why it matters: This partnership highlights KAUST's growing role in international collaborations to advance research and development in key areas like AI and sustainable mobility solutions.

Addressing the CFD challenge

KAUST ·

KAUST recently hosted the Research Conference: Predictive Complex Computational Fluid Dynamics (PCCFD) from May 22 to 24. The conference brought together local and international CFD scientists from academia and industry to discuss the latest work and findings in CFD. Topics included variable-order algorithms, adaptive mesh refinement, fluid-structure interaction, and uncertainty quantification. Why it matters: The conference highlights KAUST's commitment to advancing CFD research and its applications in various fields, including aerospace, oil industry, and environmental science.