AI for Science
The Seed-AI for Science team applies AI to drive breakthroughs in scientific computing research paradigms, focusing on biological foundation models, quantum chemistry, and molecular dynamics.
Latest advancements
Protenix
A biomolecular foundation model capable of high-fidelity complex structure prediction and de novo protein design with a high rate of success.
Selected papers
Oct 21, 2025
A Multi-Resolution Systematically Improvable Quantum Embedding Scheme for Large-scale Surface Chemistry Calculations
AI for Science
Mar 14, 2025
Deep Learning Sheds Light on Integer and Fractional Topological Insulators
Strongly Correlated Electrons