DOE Opens $10M+ HPC4Mfg Solicitation for Small Manufacturers Using Supercomputers

The U.S. Department of Energy’s Office of Critical Minerals and Energy Innovation announced a new solicitation under the High-Performance Computing for Manufacturing (HPC4Mfg) program on April 28, 2026. DOE will award up to $400,000 per project, with over $10 million total available, to small and medium-sized manufacturers (SMMs) partnering with National Laboratories, universities, or nonprofits. The funding supports AI, machine learning, and digital simulation to accelerate materials development and improve industrial processes. All U.S.-based SMMs are eligible to apply through SAM.gov under solicitation number HPC4EI-2026SP-RN-SOL.

This funding notice matters because it directly targets the computational bottleneck in advanced manufacturing qualification. While large aerospace and automotive firms routinely use supercomputing for process simulation and materials discovery, most SMMs lack access to DOE’s National Lab computing infrastructure. The HPC4Mfg program bridges that gap, enabling smaller manufacturers to simulate LPBF melt pools, predict residual stress in DED builds, or optimize binder jetting sintering profiles without owning a cluster. This aligns with the broader pattern of government-led technology transfer (P2 localization arc inverted: here the U.S. government is democratizing access to its own high-end infrastructure). The program also supports the DOE’s strategic goal of reshoring critical materials processing, particularly for defense and energy supply chains.

For AM-focused SMMs, this is a practical opportunity to de-risk process development without capital expenditure on simulation software or HPC hardware. The $400,000 per project is modest but sufficient for a focused collaboration with a National Lab on a specific manufacturing challenge. Companies should prepare clear problem statements around thermal management, defect prediction, or material property optimization to maximize the value of the six-to-twelve-month project window. The real outcome is not just the simulation results but the qualification data package that can accelerate customer adoption.