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Collections

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    This Collection aims to unite research from diverse disciplines, encompassing theoretical, computational, and experimental studies that elucidate links between geometry, molecular architecture, and dynamical observables.

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  • Collection |

    This collection aims at connecting theory, experiments, and applications where energy landscapes are used for computation.

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  • Collection |

    This cross-journal collection aims at exploring a wide range of topics in confined plasmas and nuclear fusion research and invites original research contributions from a variety of devices and laboratories.

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  • Collection |

    This cross-journal Collection highlights the application of AI techniques to advance X-ray and neutron scattering and spectroscopy techniques in material science. Explore the latest research including AI-enabled approaches for instrument operation, data acquisition, and data analysis.

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  • Collection |

    This cross-journal Collection focuses on approaches that use nonlinear dynamical systems to uncover organizing principles in living systems, together with experiments that are explicitly interpreted through such frameworks.

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  • Collection |

    In the International Year of Quantum Science and Technology (QST) 2025, this collection intends to promote awareness of these challenges and showcase strategies for overcoming them, by giving voice to senior female figures in the field, active in both academia and industry, while sharing their passion for their work and their vision for the future of QST.

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  • Collection |

    The 2025 Nobel Prize in Chemistry has been awarded to Susumu Kitagawa, Richard Robson and Omar M. Yaghi “for the development of metal–organic frameworks.”

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  • Collection |

    The Nobel Prize in Physics 2025 was awarded to John Clarke, Michel H. Devoret and John M. Martinis "for the discovery of macroscopic quantum mechanical tunnelling and energy quantisation in an electric circuit."

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  • Collection |

    This Focus Collection in Communications Physics invites original research, perspectives, and review articles highlighting theory, simulations, experiments, and data-driven models that converge on measurable, designable odd responses in soft systems.

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