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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
Feed URL: https://www.nature.com/nphys.rss
Updated: daily
- Terahertz spectroscopy of collective charge density wave dynamics at the atomic scaleNature Physics, Published online: 15 July 2024; doi:10.1038/s41567-024-02552-7 The observation of phase modes of charge density wave has been a long-standing challenge. Such low-energy phase excitations have now been seen in a transition metal dichalcogenide.
- On the limitations of the semi-classical picture in high harmonic generationNature Physics, Published online: 11 July 2024; doi:10.1038/s41567-024-02579-w High harmonic generation has long been successfully described using the semi-classical three-step model. However, recent progress has introduced a quantum optical formulation, exposing the limitations of the semi-classical picture.
- Induced superconducting correlations in a quantum anomalous Hall insulatorNature Physics, Published online: 10 July 2024; doi:10.1038/s41567-024-02574-1 The superconducting proximity effect has not been experimentally demonstrated in a quantum anomalous Hall insulator. Now this effect is observed in the chiral edge state of a ferromagnetic topological insulator.
- A way to cross the Andreev bridgeNature Physics, Published online: 10 July 2024; doi:10.1038/s41567-024-02575-0 Inducing superconductivity in quantum anomalous Hall insulators is crucial to realize topological superconductors. Now a study shows superconducting correlations in the quantum anomalous Hall state, which can convert electrons on its one-way path into holes.
- Efficient optimization of deep neural quantum statesNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02567-0 An improved optimization algorithm enables the training of large-scale neural quantum states in which the enormous number of neuron connections capture the intricate complexity of quantum many-body wavefunctions. This advance leads to unprecedented accuracy in paradigmatic quantum models, opening up new avenues for simulating and understanding complex quantum phenomena.
- Nonlinear computation with linear systemsNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02531-y Nonlinearity is crucial for sophisticated tasks in machine learning but is often difficult to engineer outside of electronics. By encoding the inputs in parameters of the system, linear systems can realize efficiently trainable nonlinear computations.
- Fully nonlinear neuromorphic computing with linear wave scatteringNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02534-9 As the energy consumption of neural networks continues to grow, different approaches to deep learning are needed. A neuromorphic method offering nonlinear computation based on linear wave scattering can be implemented using integrated photonics.
- The biophysical basis of bacterial colony growthNature Physics, Published online: 09 July 2024; doi:10.1038/s41567-024-02572-3 The growth of a biofilm—a bacterial colony attached to a surface—is governed by a trade-off between horizontal and vertical expansion. Now, it is shown that this process significantly depends on the contact angle at the biofilm’s edge.
