Statistical physics, thermodynamics and nonlinear dynamics articles from across Nature Portfolio

Statistical physics and thermodynamics provide a framework for relating the behaviour of microscopic particles to the macroscopic properties of a system. Thermodynamics casts these macroscopic, or observable, properties in terms of variables that are subject to constraints imposed by the four laws of thermodynamics, which can be explained by statistical physics.

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    Dr Michael Falk, professor of Materials Science and Engineering, Mechanical Engineering, and Physics at Johns Hopkins University, talks to Nature Computational Science about his academic training at the intersection of physics and computer science, his research in condensed-matter physics, as well as his experience in improving diversity and inclusion in the physics research community.

    • Jie Pan
    Nature Computational Science, 1-3

  • News & Views |

    Determining the melting temperature and electrical conductivity of ammonia under the internal conditions of the ice giants Uranus and Neptune is helping us to understand the structure and magnetic field formation of these planets.

    • Kenji Ohta
    Nature Physics, 1-2

  • News & Views |

    An experimental platform comprising two disordered superconductors separated by a thermally conducting electrical insulator represents a controllable physical system of interdependent networks. This system is modelled by thermally coupled networks of Josephson junctions. This platform could provide insights into theoretical multiscale phenomena, such as cascading tipping points or self-organized branching processes.

    Nature Physics, 1-2
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