Nickel-Cobalt Separation Predictor
Predicts Ni/Co selectivity and product purity across a solvent-extraction separation.
This model is a reference implementation. Industrial use requires validation on plant-specific data. Customer-specific fine-tuning remains private unless explicitly approved for publication.
Input schema
| Field | Type | Description |
|---|---|---|
| ni_co_ratio | float | Feed Ni:Co ratio |
| ph_profile | float[] | Stage pH profile |
| extractant_condition | float | Extractant loading indicator |
Output schema
| Field | Type | Description |
|---|---|---|
| selectivity | float | Predicted Ni/Co selectivity |
| purity | float · % | Product purity |
Training data & evaluation
Training data type
Synthetic separation dataset
Evaluation metrics
Limitations
- Selectivity is reagent-system specific; provide the matching config.
Discussion
- s.Validation note
s.iyer
ML researcher · 3d
Reproduced the reported metric on the public split with a fixed seed. Numbers line up within noise, so it's a good baseline to build on.
18 - l.Improvement
l.zhang
Process engineer · 1w
Adding an uncertainty head would make this far more useful for prioritization. Happy to open a PR against the reference repo.
11
Validate on your data, keep the result private
Reference models are a starting point. We can fine-tune privately on plant-specific data, with customer-owned IP and no public disclosure.