ML Materials Predictor Purpose The ML Materials Predictor skill provides machine learning capabilities for accelerated nanomaterial discovery and property prediction, enabling data-driven approaches to materials design and optimization. Capabilities - Feature engineering for materials - Property prediction models (GNN, transformers) - Active learning for experiment design - High-throughput virtual screening - Synthesis success prediction - Transfer learning for small datasets Usage Guidelines ML Materials Workflow 1. Data Preparation - Collect and curate dataset - Generate features (compositi…