Summary
Used scalable cloud-based GPUs to power physics-based simulations and AI models for molecular design. Enabled large-scale evaluation and optimization of chemical candidates. Integrated machine learning directly into collaborative drug discovery workflows. Accelerated and expanded candidate generation while maintaining computational flexibility.