NSF's HAMMER is developing a new approach to design and manufacturing, putting product needs first and then finding new manufacturing pathways based on the agility of artisans and reproducibility of machines. HAMMER is the hub for technical, commercial, educational and standard setting for Hybrid Autonomous Manufacturing knowledge creation, deployment and commercial development.
HAMMER is a partnership between the National Science Foundation and an alliance of academics, industry and technical societies, led by The Ohio State University. HAMMER will perform foundational research, educate a new and diverse workforce, and develop a new innovative industrial ecosystem. The outcomes of this program will be more robust local supply chains, lower-carbon production and economic opportunities.
HAMMER brings together research software and open-hardware projects across computational mechanics, in-situ monitoring, uncertainty quantification, digital twins, physics-informed machine learning, and manufacturing machine design.
This organization acts as a curated entry point for the ecosystem. Active development remains in the original upstream repositories maintained by the researchers, students, postdocs, faculty, and collaborating labs who created the work.
Start here: Software Ecosystem Catalog
| Area | Representative Projects |
|---|---|
| Computational mechanics | JAX-FEM JAX-CPFEM JAX-PF |
| In-situ monitoring and vision | SMAXI Confidence-Aware Photometric Stereo |
| Uncertainty quantification | Deep-UQ Deep-UQ documentation ASNO UQ Model Discrepancy |
| Digital twins and generative models | DED_DT PB-GAN |
| Open-source manufacturing hardware |
Dauber LC-CNC arcResearch Automated Forging Clay |
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