aLLoyM_plot_phase_diagram_api – 1 MCP server offers this tool

What it usually takes

  • data_points_json – in 1 of 1

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aLLoyM co.huggingface.playingyoyo/alloym Generate a phase diagram image from pre-collected data points. This tool renders a phase diagram from data you have already collected by calling predict_phases multiple times. It does NOT run any model inference itself — it only plots. WORKFLOW to build a phase diagram: 1. Call predict_phases ~50+ times across a grid of compositions/temperatures. 2. Collect all results into the JSON format below. 3. Call this tool ONCE with that JSON to render the diagram. Input: a JSON string with this structure: { "elements": ["Gold", "Silver"], "temperature_k": 800, // (optional, used as title for ternary) "points": [ { "composition": {"Gold": 80, "Silver": 20}, "temperature_k": 800, "phases": "FCC_A1" }, { "composition": {"Gold": 50, "Silver": 50}, "temperature_k": 1000, "phases": "FCC_A1 + LIQUID" } ] } - "elements": list of 2 or 3 element names (must match keys in composition dicts) - "points": list of data points, each with composition (dict of element->percent), temperature_k, and phasdata_points_jsonNot stated