Computational Materials Science and Process Modeling

The contract seeks to advance computational materials science by leveraging high-performance computing to model the behavior of advanced materials and their manufacturing processes, with the goal of enhancing material performance and significantly reducing the time required for certification. This effort focuses on developing sophisticated simulations that capture complex physical phenomena during material formation and under operational conditions, enabling more accurate predictions, optimized designs, and faster transition from development to deployment. The work will involve collaboration between computational experts and materials scientists to integrate physics-based models with large-scale data and validate results against experimental outcomes. The contract is structured as a subcontract under the Department of Energy, managed by its LLNL contractor, and is classified under NAICS code 541690 for other scientific and technical consulting services. It was posted on April 28, 2026, with a response deadline of May 28, 2026, indicating a limited window for qualified entities to propose capabilities. The place of performance and point of contact details are not specified, suggesting that proposers may need to clarify logistics through direct engagement. No set-aside preferences or organization type restrictions are indicated, leaving the opportunity open to a broad range of technical contractors experienced in computational modeling, materials science, and high-performance computing applications.