From Lab to Fab: Using AI to Scale New Materials into Production
The materials that will define the next decade of computing, communications, and quantum technology mostly exist already. Getting them into production reliably is still slow, and still runs largely on trial and error. This e-book collects our thesis and the series that followed it, with field results from real tools and a roadmap for adoption.
What's inside
- Our thesis: Why the materials of the future are stuck in the lab.
- Measurement: Turning the signals a tool already emits into live material state.
- Understanding: What the runs already on disk reveal about your process.
- Detection: Separating intended change from drift, as it happens.
- Action: Steering runs while they're still growing.
- From pilot to production: How teams adopt materials enablement in three phases.
PDF · 35 pages · 3.7 MB