II.
LibraryProcess overview
Reference · livelib-process:nanotechnology--ml-materials-discovery
ml-materials-discovery overview
Machine Learning Materials Discovery Pipeline - Implement ML-accelerated materials discovery workflows including training data curation, feature engineering for materials, model training with cross-validation, high-throughput virtual screening, and experimental validation prioritization with iterative active learning loops.
Attributes
displayName
ml-materials-discovery
description
Machine Learning Materials Discovery Pipeline - Implement ML-accelerated materials
discovery workflows including training data curation, feature engineering for materials, model
training with cross-validation, high-throughput virtual screening, and experimental validation
prioritization with iterative active learning loops.
libraryPath
library/specializations/domains/science/nanotechnology/ml-materials-discovery.js
specialization
nanotechnology
references
- - Materials Project: https://materialsproject.org/ - NanoHUB Simulation Tools: https://nanohub.org/resources/tools - ASE (Atomic Simulation Environment): https://wiki.fysik.dtu.dk/ase/
example
const result = await orchestrate('specializations/domains/science/nanotechnology/ml-materials-discovery', {
discoveryGoal: { target: 'high-efficiency-photocatalyst', property: 'bandgap', optimalRange: [1.5, 2.5] },
candidateSpace: { elements: ['Ti', 'Zn', 'Sn'], compositions: 'ternary-oxides', sizeRange: [2, 10] },
existingData: { source: 'materials-project', entries: 5000 },
targetProperty: 'photocatalytic-efficiency'
});
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
Outgoing edges
lib_applies_to_domain1
- domain:nanotechnology·DomainNanotechnology
lib_belongs_to_specialization1
- specialization:nanotechnology·SpecializationNanotechnology
lib_implements_workflow1
- workflow:experiment-design·WorkflowExperiment Design
lib_involves_role1
- role:research-engineer·RoleResearch Engineer
lib_requires_skill_area3
- skill-area:mathematical-reasoning·SkillAreaMathematical Reasoning
- skill-area:physics-simulation·SkillAreaPhysics Simulation
- skill-area:data-analysis·SkillAreaData Analysis
uses_agent2
- lib-agent:data-science-ml--feature-engineer·LibraryAgentfeature-engineer
- lib-agent:meta--technical-writer·LibraryAgenttechnical-writer
Incoming edges
None.