Physics-grounded AI framework aims to make predictions about new materials more testable
Researchers have developed an artificial intelligence framework that incorporates physical principles to improve predictions about new materials. This framework, called PhysMat AI, aims to make discoveries more testable and reliable. The approach integrates fundamental knowledge into the materials discovery process.
Why it's good news: It has the potential to lead to more accurate and reliable breakthroughs in material science.
The tech section covers stories about technology making life better, not just more profitable. Open-source tools reaching new audiences, accessibility breakthroughs, AI applications in healthcare and education, infrastructure improvements that quietly make cities work better. Product launches and funding rounds are excluded unless they deliver tangible public benefit.
Good news deserves a clean reading experience. AdGuard blocks ads, trackers, and malware across all your devices so you can focus on what matters.
Try AdGuard →
A large collection of over 70 million specimens from 100 museums in the UK is being made available digitally, allowing p…
Most news feeds won't give you another one. Our morning letter will: one email at sunrise with the day's best good news.
Start tomorrow morning →