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In an Age of AI, a Physicist Seeks What Endures

Rebecca Boyle· 3 septembre 2026

Sarah Demers, chair of the physics department at Yale University, sees the potential for large language models to both help and harm her field. The post In an Age of AI, a Physicist Seeks What Endures first appeared on Quanta Magazine

Résumé

AI in physics research

In July 2026, the U.S.

Department of Energy funded 278 projects under its Genesis Mission, which aims to integrate artificial intelligence (AI) into scientific research.

One of these projects involves using AI to optimize the Mu2e experiment at Fermi National Accelerator Laboratory in Chicago.

The goal is to help physicists search for a rare particle transformation, where a muon (a subatomic particle) becomes an electron.

AI can adjust experimental parameters such as magnetic field strength, target placement, and system activation times.

Sarah Demers, a physicist at Yale University and chair of its physics department, highlights that AI helps automate time-consuming tuning processes, which can feel more like an art than a precise science.

For example, AI can quickly explore combinations of settings to find the most effective configuration, saving researchers significant effort.

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