科学
Physics-grounded AI framework aims to make predictions about new materials more testable
来源: Phys.org · 发布于

Artificial intelligence is increasingly being used to discover new materials, but conventional data-driven approaches can struggle to explain their predictions, work reliably beyond their training…
阅读原文 ↗本站为新闻聚合平台:仅展示标题与简短摘要,并附上原文链接,不转载全文。
- #predictions
- #materials
- #intelligence
- #increasingly
- #conventional
- #artificial
相关报道
- Engineered coating lets mitochondria retain their ability to produce energy
Phys.org · 2026年9月29日 23:40
- NYC delivery workers injured at more than five times national rate under intense labor control by apps, survey finds
Phys.org · 2026年9月29日 23:40
- Beyond temperature: How people experience urban heat
Phys.org · 2026年9月29日 23:20
- Alien life? Why the possibility of exoplanet LHS 1140b emitting helium gas is so exciting
Phys.org · 2026年9月29日 23:20
- Nine generations of virtual dating reveal how fish shape their ideal mates
Phys.org · 2026年9月29日 23:10