Best Use of HPC in Industry
(Automotive, Aerospace, Manufacturing, Chemical, etc.)
Readers’ Choice Awards
Argonne National Laboratory and the Raytheon Technologies Research Center developed physics-guided machine learning surrogate models to enable accelerated simulation-driven design and optimization of high-efficiency gas turbine thermal management systems. The HPC-based framework coupled machine learning surrogate models with computational fluid dynamics (CFD) solvers. The work used Argonne National Laboratory’s massively parallel high-order spectral element CFD solver Nek5000 and machine learning frameworks and software tools. The integrated simulation-AI framework developed in this collaborative effort can help extend the fuel efficiency and durability limits of next-generation aircraft engines while slashing design times and costs.
Editors’ Choice Awards
Aramco Americas, Argonne National Laboratory, and Convergent Science used HPC-accelerated computational fluid dynamics simulations to help develop zero-carbon, ultra-high-efficiency hydrogen propulsion systems. Pressure to decarbonize the transport sector motivated the research that developed a high-fidelity, HPC-enabled analysis-led design (ALD) process to accelerate the advancement of such systems. Using the Argonne Leadership Computing Facility (ALCF), the developed ALD process will expedite the adoption of clean, highly efficient hydrogen propulsion systems, enabling an accelerated transition to a clean, low-carbon energy system.