Section

Physics

Quantum machines, new materials, and the universe at every scale.

Daily at 07:15 UTC

Edition No. 9
Updated UTC

Top stories

  1. 1. Reference-free certification of machine-learning interatomic potentials

    Universal machine-learning interatomic potentials now reach held-out energy and force errors so small that they no longer predict how a model behaves in simulation.

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  2. 2. Quantum spectral thermodynamics and active learning enable million-scale exploration of high-entropy ceramics

    Understanding phase stability and navigating vast compositional spaces in multicomponent solids remain central challenges in solid-state chemistry.

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  3. 3. Learning consistent molecular mechanics force fields from first principles

    Classical force fields (FFs) remain the workhorse for large-scale simulations even as machine-learned interatomic potentials (MLIPs) approach ab initio accuracy.

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More top stories

No.04 to No.06

  1. arXivby Cobucci, Tavakoli, Bernal +1

    The superb supersinglet

    Multipartite systems of high-dimensional particles can host forms of quantum entanglement inaccessible to qubit systems.

    No.05Verdict: NotableScore████░░░░░░4.4

Briefs

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