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  • This Perspective explores the potential of using tailored fields to investigate chiral matter and ultrafast chiral dynamics. Light fields with well-defined symmetry properties can open new opportunities for research in chiral light–matter interactions.

    • Dino Habibović
    • Kathryn R. Hamilton
    • Laura Rego
    Perspective
  • CERN marks this year a major anniversary, of 70 years at the forefront of accelerator technology for high-energy physics. The story of its accelerator complex and 27-km tunnel — a major achievement in engineering and physics — is still unfolding.

    • Oliver Brüning
    • Max Klein
    • Lucio Rossi
    Perspective
  • 20 years ago, the Nobel Prize in Physics was awarded to David Gross, Frank Wilczek and David Politzer.

    • Alison Wright
    Research Highlight
  • Over the past 70 years, CERN’s accelerators and experiments have delivered some remarkable results and discoveries, owing to the efforts of generations of physicists. We asked seven of the new generation — all CERN Fellows, in the early stages of their career — to tell us about some of the milestone achievements in the history of their laboratory.

    • Federica Riti
    • Philipp Gadow
    • Petar Bokan
    Viewpoint
  • The combination of single-molecule fluorescence detection with Förster resonance energy transfer provides a powerful probe of biomolecular dynamics on timescales ranging from nanoseconds to days. This Review outlines single-molecule Förster resonance energy transfer spectroscopy with a focus on dynamics and highlights future developments and enhanced capabilities.

    • Daniel Nettels
    • Nicola Galvanetto
    • Benjamin Schuler
    Review Article
  • 20 years on from the isolation of graphene, over 150,000 graphene-related patents have been filed. Yet despite early promises of integration into semiconducting and photonic devices, the biggest applications to date have been in energy storage and polymers. This article analyses graphene commercialization over the past two decades and discusses the role of graphene in applications towards net-zero carbon.

    • Terrance Barkan
    • Chirag R. Ratwani
    • Cary Hill
    Down to Business
  • In 1924, Ernst Ising thought he showed a simple model for ferromagnetism couldn't work. 100 years later, that model, now named for him, is used across all of physics.

    • Zoe Budrikis
    Research Highlight
  • This month, we say farewell to our founding Chief Editor, Iulia Georgescu and greet our new Chief Editor, Nina Meinzer. We also thank our first Advisory Board members (2023–2024) and welcome our next Advisory Board.

    Editorial
  • A paper in Royal Society Open Science presents an Ising-like model to describe changes in land use.

    • Zoe Budrikis
    Research Highlight
  • An article in Nature Communications uses an Ising-like model to determine the interactions between monomers in a component of the cyanobacterial circadian clock.

    • Zoe Budrikis
    Research Highlight
  • The Rydberg atomic array is an emerging quantum many-body physics platform, exhibiting rich physical phenomena, such as quantum spin liquids and quantum scar states. This Perspective analyses the latest progress in this system through a unified theoretical framework — lattice gauge theory — providing new insights for quantum simulation.

    • Yanting Cheng
    • Hui Zhai
    Perspective
  • In 2021, physicist and writer, Carlo Rovelli, helped launch an open letter to the world’s politicians calling for a small proportion of military funding to address climate change, poverty and pandemics — the Global Peace Dividend. He discusses the pressing need for global cooperation on common interests.

    • May Chiao
    Q&A
  • This Perspective summarizes the recent progress of topological physics in thermal metamaterials and thus proposes a new research field, ‘topological thermotics’, which is inspired by topological photonics and topological acoustics in wave metamaterials.

    • Zhoufei Liu
    • Peng Jin
    • Jiping Huang
    Perspective
  • This Expert Recommendation provides a guide to setting up machine learning projects that are less time-consuming and more likely to lead to robust and useful scientific insights.

    • Johannes Buchner
    • Sotiria Fotopoulou
    Expert Recommendation