ScienceMore in Science→
AI mines research papers to find heat-stable lead-free dielectrics
Key Takeaways
- Researchers built a dataset of 1,202 dielectric-property records from 448 papers.
- The system combines multimodal literature mining with physics-informed machine learning.
- The goal is to identify lead-free dielectric materials that remain stable at high temperatures.
- The approach could make materials discovery more data-driven and less trial-and-error.
DE
DT Editorial Team··via phys.org