Rapid and Automated Alloy Design with Graph Neural Network-Powered Large Language Model-Driven Multi-Agent AI The search for new materials with enhanced mechanical properties has previously been constrained by the sheer complexity of the compositional design space. Multi-principal element alloys offer excepti... alloy design artificial intelligence computational materials dislocation dynamics graph neural networks machine learning materials science multi-agent systems
GraphBAN Marries Graphs and LLMs to Predict New Compound-Protein Interactions Understanding how small molecules interact with proteins is a cornerstone of modern drug discovery. These compound–protein interactions (CPIs) determine whether a candidate molecule can modulate a bio... BAN CDAN compound-protein interactions domain adaptation drug discovery graph neural networks knowledge distillation