v0.1.0-beta.1 — Public Beta

First public beta of BLEECAM, an optimization-driven benchmarking framework for critical-mineral supply chains. Given a scenario — baseline, disruption, or policy — it solves for the supply-chain configuration that best meets demand under real-world constraints and reports integrated economic (TEA/LCC), environmental (LCA-derived), and social (S-LCA) metrics, including the multi-objective trade-off frontier.

Included in this release:

Two demonstrated case studies: rare-earth permanent magnets (Nd/Dy) and gallium semiconductor wafers (GaN/GaAs)
Multi-objective optimization: single-objective corners and AUGMECON2 Pareto frontiers
No-code criticality-constraint library and scenario runner
Golden-output regression tests for both cases

Data note: ecoinvent-licensed inventory values are redacted, with UUIDs and dataset selections retained for reproducibility; literature-derived inventory is included.

Beta caveat: public APIs, input data, and numerical results may change between releases without notice. All outputs are illustrative analytical results, not decision-grade guidance for policy, investment, or operations — see DISCLAIMER.md.

Feedback and issues welcome via GitHub Issues or send email to sherif.khalifa@nlr.gov. Developed at the National Laboratory of the Rockies with funding from DOE AMMTO (NLR Software Record SWR 25-125).