科学与环境

Physics-grounded AI framework aims to make predictions about new materials more testable

来源: Phys.org - latest science and technology news stories · 发布于

Physics-grounded AI framework aims to make predictions about new materials more testable
来源: Phys.org - latest science and technology news stories

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 data and remain consistent with physical laws. A new perspective proposes a framewo

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 data and remain consistent with physical laws. A new perspective proposes a framework called Physics-Grounded Materials AI (PhysMat AI), which integrates fundamental physical knowledge into the materials discovery process. The research is published in the journal Advanced Functional Materials.

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Beyond temperature: How people experience urban heat
科学与环境

Beyond temperature: How people experience urban heat

Urban heat is more than a matter of temperature. It can affect how people sleep, work, travel through the city and dress, and even how safe or comfortable they feel in public spaces. Yet these everyday consequences often remain invisible in conventional assessments of urban heat.

Phys.org - latest science and technology news stories ·