Lieven Vervecken, Sarah Andrade, and Adrian Kramer from Diabatix presented their work on "Automated Design of Evaporators Through Generative AI, a Liquid Nitrogen CPU Cooler Case Study." Their focus was on leveraging generative AI to streamline and enhance the design process in engineering, particularly in the development of evaporators and CPU coolers using liquid nitrogen. The team started by acknowledging the challenges in multi-physics, multi-objective, and multi-constraint environments in engineering design. They emphasized that it's not feasible for engineers to be experts in all these fields. Their vision was centered on the belief that smart algorithms can empower engineers to design beyond their imagination. They proposed using generative AI to start from scratch and generate solutions for complex design problems, including parameter optimization, shape optimization, and generative design. The presentation highlighted the Generative Design Cycle, contrasting it with the Conventional Design Cycle. It emphasized the advantages of the former, particularly in the setup of CFD simulations, post-processing results, analysis/testing, and (re)creating CAD models. Their approach to generative design involves an internal loop focusing on optimization under various constraints, including manufacturing constraints. This loop allows for limitless design freedom to achieve optimal designs. They showcased this capability through different applications like air-cooled electronics, liquid-cooled electronics, battery cooling, flow optimization, e-motor cooling, and CPU cooling. A case study was presented on the LN2 CPU cooler. The team set specific targets and constraints for the design, such as material choice (copper), heat power, temperature minimization, and maximum relative volume constraint, along with 3D printing settings. The generative design process was applied to this case, resulting in manufacturing-ready components that meet the predefined targets and constraints. The conclusion of the presentation emphasized the innovative strategy of generative design, highlighting its potential to reduce the manual burden in design, its applicability to multi-physics problems, and its ability to produce components ready for manufacturing. Looking ahead, Diabatix plans to focus on prototyping and experimental validation of the LN2 CPU cooler and applying thermal generative design to more two-phase applications.