Narrated summary

A smooth, environment-resolved error field underlies the systematic property errors of universal machine-learned interatomic potentials

Universal machine-learned interatomic potentials (uMLIPs) err systematically away from equilibrium; the test is whether those errors share a single, measurable shape.

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