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Nature Physics offers news and reviews alongside top-quality research papers in a monthly publication, covering the entire spectrum of physics. Physics addresses the properties and interactions of matter and energy, and plays a key role in the development of a broad range of technologies. To reflect this, Nature Physics covers all areas of pure and applied physics research. The journal focuses on core physics disciplines, but is also open to a broad range of topics whose central theme falls within the bounds of physics.
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Updated: daily
  1. Laser-focused on precision
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03278-4 The advent of the laser transformed spectroscopy into a tool for precision measurements across scales, from nuclei to stars. In this Editorial we reflect on its far-reaching influence.
  2. The core question
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03249-9 The core question
  3. Motorized paperclip learns functional reflexes
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03256-w A wire of motorized hinges learns, forgets, and relearns automatic responses on demand, uncovering the physical principles necessary to emulate autonomous learning of living matter.
  4. Rigorously undisciplined
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03250-2 Rigorously undisciplined
  5. In pursuit of metrological diplomacy
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03240-4 International metrological decision-making processes are exceedingly complex. Shanay Rab and Richard Brown explain how it works.
  6. Frozen sound
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03270-y Frozen sound
  7. Universally ouchy
    Nature Physics, Published online: 16 April 2026; doi:10.1038/s41567-026-03269-5 Universally ouchy
  8. Efficient thermalization and universal quantum computing with quantum Gibbs samplers
    Nature Physics, Published online: 15 April 2026; doi:10.1038/s41567-026-03246-y Quantum simulation of equilibrium many-body systems requires the ability to sample from the thermal distribution of quantum states. An algorithm has now been proven to be an appropriate quantum analogue to classical Monte Carlo methods.