Technical Note 01
2026-03-03
Process Maps from Sparse Experiments
Turning limited experimental tables into interpretable multivariate process maps with AI-assisted inference.
Caldera
Caldera Technical Notes
Engineering notes on Caldera's AI-enabled framework for sparse-data process development, from modeling and uncertainty to response-specific recommendations and multi-target trade-off guidance.
Technical Note 02
2026-03-09
AI-Assisted Interpretation of Multivariate Structure from Sparse Experiments
Using AI-assisted analysis to extract directional behavior, interaction structure, and uncertainty boundaries under limited experimental coverage.
Technical Note 03
2026-03-16
AI-Assisted, Constraint-Aware Modeling for Process Systems
Using sparse-data inference and guided constraints to keep process maps coherent under limited coverage.
Technical Note 04
2026-03-23
Extrapolation Risk and Uncertainty
Using AI-assisted process-map interpretation to examine extrapolative regions beyond current experimental coverage under sparse experimental data.
Technical Note 05
2026-03-31
AI-Enabled Response-Specific Next-Run Recommendations
Exploration, exploitation, and extrapolation for each selected response within the chosen process space, supported by AI-assisted interpretation.
Technical Note 06
2026-04-06
Trade-off Guidance Across Multiple Targets
Balancing multiple targets into a program-level decision direction with AI-informed guidance.