Predictions
New AI techniques reveal how machine-learning models connect crystal structures to optical properties
| 2 min read
A new model reveals that standard screening sees only 0.01 percent of the chemical space, forcing a rethink of laboratory workflows
| 3 min read
LLM-based approach improves materials synthesis by redesigning crystal structures into feasible forms
| 2 min read
MIT’s DiffSyn model uses generative AI to streamline materials synthesis planning and laboratory experimentation
| 3 min read
AI-based defect prediction cuts liquid crystal modeling time from hours to milliseconds
| 3 min read
Matlantis CSP enables faster crystal structure prediction to support scalable materials discovery
| 3 min read
Revvity’s Signals Xynthetica connects predictive molecular discovery with governed experimental workflows
| 2 min read
Underwater robots that can predict waves in real-time could reduce the cost of producing offshore renewable energy
| 2 min read
