#ai for science

A new natural language embedding neural network method EINN is proposed. By combining the Transformers architecture with the scibert encoder, it achieves accurate viscosity prediction under extreme conditions, extrapolation scenarios, and sparse data situations.

An LLM-agent direction for material design, formulation-performance prediction, and scientific workflow support.