Rare-earth-reduced performance
Magnets, magnetostrictive materials, and transductive systems that reduce supply-chain vulnerability while preserving function.
Formation, Optimization, and Real-time Growth Engine. An autonomous materials-synthesis platform built to discover how strategic materials form, stabilize difficult states, and convert learning into reproducible process knowledge.
Metastable phases, interfaces, narrow process windows, and non-equilibrium pathways can make the best predicted material difficult or impossible to reach by conventional trial-and-error synthesis.
Capture the evolving growth environment and material state in real time.
Build causal process knowledge instead of merely searching a parameter space.
Convert successful growth into repeatable recipes, process IP, and transition packages.
Synchronized in-situ sensing tracks process conditions and the evolving material state during synthesis.
Physics-informed AI links process history to structure, phase evolution, interfaces, and functional response.
Autonomous planning selects and executes improved synthesis pathways based on what the material is actually doing.
End-state characterization verifies that structural improvement translates into the property or function that matters.
Validated recipes and causal knowledge become reproducible manufacturing approaches, partner-specific transition packages, or proprietary process IP.
FORGE is designed as a platform across material classes rather than a single-material automation project.
Magnets, magnetostrictive materials, and transductive systems that reduce supply-chain vulnerability while preserving function.
Topological, superconducting, semiconductor, and heterostructure materials for advanced sensing, information, and electronic systems.
Coatings and functional structures engineered for thermal, mechanical, electromagnetic, radiation, and mission-specific extremes.