Tag: AI in materials science
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Adaptive Diffusion Model for Inorganic Crystal Generation
Discover inorganic crystal structures using a finetuning-free diffusion model with adaptive constraints and robust validation for reliable materials design...
Siamese Models Boost Crystal Structure Prediction Accuracy
Discover how Siamese foundation models improve crystal structure prediction with high accuracy and 2000x faster speed in materials science.
MatBrain: Lightweight AI for Crystal Materials Research
Discover MatBrain, a dual-model AI system accelerating crystal materials research with efficient, specialized reasoning and tool coordination.
Zatom-1: Advanced AI Model for 3D Molecules & Materials
Discover Zatom-1, an open-source AI model combining generative and predictive tasks for 3D molecules and materials with fast, accurate results.
Ontology-Based Knowledge Graph for Atomistic Data Integration
Discover an ontology-based knowledge graph infrastructure that enables interoperable, standardized atomistic simulation data integration and provenance tra...