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Showing 1–11 of 11 results
Advanced filters: Author: Carlo Rovelli Clear advanced filters

  • The Universe is expanding. And the expansion seems to be speeding up. To account for that acceleration, a mysterious factor, 'dark energy', is often invoked. A contrary opinion — that this factor isn't at all mysterious — is here given voice, along with counter-arguments against that view.

    • Eugenio Bianchi
    • Carlo Rovelli
    • Rocky Kolb
    News & Views
    Nature
    Volume: 466, P: 321-322

  • Scientists can provide governments with essential knowledge to take informed decisions, but cannot decide on their behalf, according to Carlo Rovelli.

    • Carlo Rovelli
    Comments & Opinion
    Nature Materials
    Volume: 20, P: 272

  • Theoretical physicists are in thrall to a misguided mindset that allows viable ideas to be advanced only by overturning what already exists.

    • Carlo Rovelli
    Comments & Opinion
    Nature
    Volume: 641, P: 585-587

  • This work explores how a change of quantum reference frame alters how we identify configurations across the branches of a superposition. The authors show how it changes the localisation of events when considering superpositions of semi-classical spacetimes and discuss the implications thereof for indefinite causal order, the locality of interaction, and a quantum version of Einstein’s hole argument.

    • Viktoria Kabel
    • Anne-Catherine de la Hamette
    • Časlav Brukner
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-18

  • Can we ever know what happened before the Big Bang? It may have been only a stage in the existence of our Universe rather than its beginning, but analysis suggests the Big Bang is a barrier beyond which we may never see with clarity.

    • Carlo Rovelli
    News & Views
    Nature Physics
    Volume: 3, P: 520-521

  • A phenomenon recently studied in theoretical physics may hold considerable interest for astronomers: the explosive decay of primordial black holes through quantum tunnelling. Their detection would be of major theoretical importance.

    • Carlo Rovelli
    Comments & Opinion
    Nature Astronomy
    Volume: 1, P: 1-3

  • Mapping complex networks to underlying geometric spaces can help understand the structure of networked systems. Here the authors propose a class of machine learning algorithms for efficient embedding of large real networks to the hyperbolic space, with potential impact on big network data analysis.

    • Alessandro Muscoloni
    • Josephine Maria Thomas
    • Carlo Vittorio Cannistraci
    ResearchOpen Access
    Nature Communications
    Volume: 8, P: 1-19