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.
KAUST's Clean Combustion Research Center (CCRC) is expanding its Cloudflame database, a platform providing computational tools and scientific data for combustion research. Cloudflame offers features like flame speed calculations, ignition delay simulation, and a Fuel Design Tool to formulate fuel mixtures. The platform allows researchers to compare findings, perform computations remotely, and receive results via email. Why it matters: Cloudflame fosters global collaborations and accelerates advancements in clean combustion technologies, crucial for energy saving and environmental conservation in the region and worldwide.
KAUST's Clean Combustion Research Center (CCRC) hosted the Combustion in Extreme Conditions research conference from March 5-8. The conference focused on combustion under extreme conditions in modern engines, covering high-pressure combustion, advanced diagnostics, and high-performance computations. Experts from academia, national labs, and industry discussed global collaborations toward clean combustion systems, alternative fuels, and emission reduction techniques. Why it matters: The conference highlights KAUST's role as a global hub for combustion research and its commitment to advancing technologies for cleaner and more efficient energy solutions.
The KAUST Research Conference on Recovery of Difficult Hydrocarbons, organized by the Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC), addressed challenges in the oil and gas industry related to meeting global hydrocarbon demand within environmental and economic constraints. The conference featured 39 presentations and focused on technical solutions for environmentally sound recovery from complex oil and gas fields in the Middle East. Discussions covered topics such as multi-scale heterogeneous carbonate reservoirs, multi-scale imaging fractures, and modeling hydrocarbons. Why it matters: The conference highlights KAUST's role in addressing critical challenges facing hydrocarbon-dependent economies in the region through research and technology development.
William Tang from Princeton spoke at KAUST about using deep learning to achieve nuclear fusion. Nuclear fusion, recreating stellar conditions on Earth, is considered the "holy grail" of power sources because it is clean and does not produce radioactive waste. Tokamaks, invented by Soviet physicists, are devices used to contain plasma, the superheated ionized gas required for fusion. Why it matters: KAUST is contributing to research on sustainable energy solutions, including exploring the potential of AI in nuclear fusion, a potentially transformative clean energy source.