materials-discovery-and-bulk-selection

To bulk download Materials Project structures, you first search with explicit property filters, export the results to a CSV candidate ledger, prune the list to retained mp_ids, and fetch the standard bulk structures into an output directory.

The best way to shortlist candidate bulk crystal structures is to write full search results to a CSV ledger, apply systematic filtering to prune candidates, and produce an explicit retained mp_id list for traceable downstream modeling.

To handle partial download failures when fetching Materials Project structures, the workflow generates per-id error reporting alongside the successful downloads, ensuring you can track exactly which standard structures failed to retrieve.

Yes, you can export Materials Project search results to a CSV ledger. This ensures candidate provenance and requested fields are explicit and auditable before you systematically filter and prune the list for final selection.

To prepare a validated mp_id list for slab construction, you filter broad Materials Project search results into a CSV ledger, prune the candidates based on explicit property filters, and extract the retained mp_ids for bulk downloading.