iiRecord
Agentic AI Atlas · ml-materials-discovery
lib-process:nanotechnology--ml-materials-discoverya5c.ai
II.
LibraryProcess JSON

lib-process:nanotechnology--ml-materials-discovery

Structured · live

ml-materials-discovery json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · generated-library/processes.yamlCluster · generated-library
Record JSON
{
  "id": "lib-process:nanotechnology--ml-materials-discovery",
  "_kind": "LibraryProcess",
  "_file": "generated-library/processes.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "ml-materials-discovery",
    "description": "Machine Learning Materials Discovery Pipeline - Implement ML-accelerated materials\ndiscovery workflows including training data curation, feature engineering for materials, model\ntraining with cross-validation, high-throughput virtual screening, and experimental validation\nprioritization with iterative active learning loops.",
    "libraryPath": "library/specializations/domains/science/nanotechnology/ml-materials-discovery.js",
    "specialization": "nanotechnology",
    "references": [
      "- Materials Project: https://materialsproject.org/\n- NanoHUB Simulation Tools: https://nanohub.org/resources/tools\n- ASE (Atomic Simulation Environment): https://wiki.fysik.dtu.dk/ase/"
    ],
    "example": "const result = await orchestrate('specializations/domains/science/nanotechnology/ml-materials-discovery', {\n  discoveryGoal: { target: 'high-efficiency-photocatalyst', property: 'bandgap', optimalRange: [1.5, 2.5] },\n  candidateSpace: { elements: ['Ti', 'Zn', 'Sn'], compositions: 'ternary-oxides', sizeRange: [2, 10] },\n  existingData: { source: 'materials-project', entries: 5000 },\n  targetProperty: 'photocatalytic-efficiency'\n});",
    "usesAgents": [
      "data-curator",
      "feature-engineer",
      "ml-trainer",
      "model-validator",
      "screening-specialist",
      "active-learning-specialist",
      "validation-simulator",
      "model-updater",
      "reranking-specialist",
      "analysis-specialist",
      "validation-planner",
      "uncertainty-analyst",
      "technical-writer"
    ]
  },
  "outgoingEdges": [
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "skill-area:mathematical-reasoning",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "skill-area:physics-simulation",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.7
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "skill-area:data-analysis",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 0.5
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "domain:nanotechnology",
      "kind": "lib_applies_to_domain",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "role:research-engineer",
      "kind": "lib_involves_role",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "workflow:experiment-design",
      "kind": "lib_implements_workflow",
      "attributes": {
        "weight": 1
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "specialization:nanotechnology",
      "kind": "lib_belongs_to_specialization",
      "attributes": {
        "weight": 0.9
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "lib-agent:data-science-ml--feature-engineer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    },
    {
      "from": "lib-process:nanotechnology--ml-materials-discovery",
      "to": "lib-agent:meta--technical-writer",
      "kind": "uses_agent",
      "attributes": {
        "weight": 0.8
      }
    }
  ],
  "incomingEdges": []
}