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Quantum nanophotonics examines the interaction between emitters and light confined at the nanoscale. This Review highlights the experimental progress in the field, explains new light–matter interaction regimes and emphasizes their potential applications in quantum technologies.
Complex biological, social and engineering systems operate through intricate connectivity patterns. Understanding their robustness and resilience against disturbances is crucial for applications. This Review addresses systemic breakdown, cascading failures and potential interventions, highlighting the importance of research at the crossroad of statistical physics and machine learning.
In 2023, the IceCube Neutrino Observatory discovered high-energy neutrinos from the Milky Way, an important clue towards understanding the origin of high-energy cosmic rays.
This Review categorizes the physics of many different light-based 3D printing modalities and expounds on the light–matter interactions required for the creation of (multi-)material 3D structures. An outlook is provided regarding key printing performance parameters and future directions.
Advances in superheavy element studies providing insight into the nuclear and atomic structure and the chemical behaviour of these exotic short-lived systems will help push to the limit of the periodic table of elements and revise the concept of the island of stability.
Beyond in vivo models, stem cell-based in vitro models and theoretical models of morphogenesis have been constructed to recapitulate morphogenetic events during embryo development with heightened quantitative specificity. This Review discusses the accomplishments, challenges and opportunities of these models in promoting knowledge of mammalian development, including human development.
Quantum learning theory is a new and very active area of research at the intersection of quantum computing and machine learning. This Perspective surveys the progress in this field, highlighting a number of exciting open questions.
Understanding vortex pinning in high-temperature superconducting materials is crucial to optimizing their properties. This Technical Review analyses the impact of growth method on vortex microstructure.
Non-Hermitian acoustic resonances in open systems provide a versatile platform to manipulate sound–matter interaction. This Review article surveys the fundamental physics of various acoustic resonances and their uses in realizing different acoustic wave-based applications.
Verification efforts of density-functional theory (DFT) calculations are of crucial importance to evaluate the reliability of simulation results. In this Expert Recommendation, we suggest metrics for DFT verification, illustrating them with an all-electron reference dataset of 960 equations of state covering the whole periodic table (hydrogen to curium) and discuss the importance of improving pseudopotential codes.
Klaus Hasselmann’s viewpoint has had enormous influence in climate science, both in its theoretical and practical aspects. This Perspective provides a review of Hasselmann’s scientific programme and proposes ways forward for advancing our knowledge on the multiscale behaviour of the climate system, and on the relationship between its forced and free variability.
Optical computing has the potential to be faster and more energy-efficient than conventional digital-electronic computing for certain applications. This Perspective article surveys the differences between optics and electronics that could be exploited, and explores the physics and engineering challenges in realizing useful optical computers.
Supersolidity is an intriguing state of matter that combines superfluid and crystal features. Theoretically predicted in the 1960s, it has only recently been observed in atomic gases that exhibit typical supersolid properties such as spontaneous density modulations combined with coherence effects and the occurrence of new Goldstone modes.
Photonic systems provide a versatile platform to explore and use bound states in the continuum. This Review discusses the potential of these states for enhancing light–matter interactions in various applications and investigating the physics of emerging photonic systems.
Energy-recovery linacs are far more efficient than traditional linacs because they directly return the energy of an unused particle beam into RF power that can be used for acceleration. This Review surveys the opportunities and challenges for bringing energy-recovery linacs into the mainstream.
Across thermodynamics, systems exchange quantities such as energy and particles. What if the quantities are represented by operators that fail to commute with each other? This Perspective surveys the implications for quantum thermodynamics and adjacent fields.
The geometry of mechanical metamaterials is designed to achieve specific functions, often taking inspiration from biological structures. This Perspective article argues that disorder, commonly observed in nature but traditionally avoided in metamaterials, provides interesting and unexplored design opportunities.
Kagome materials provide great opportunities for investigating diverse quantum phenomena based on the interplay of topology, electron correlation and magnetism. This Review describes the fundamental physics and properties of contemporary kagome materials and their open questions and future research directions.
New sources of extreme-ultraviolet to hard X-ray photons have enabled a wide range of short-wavelength nonlinear optical and spectroscopic methods over the past decade, and, for the future, offer unique opportunities to probe elementary dynamics in various systems.
The superconducting diode effect, in which a nonreciprocal supercurrent is generated, enables new superconducting circuit functionalities. In this Review, we present the recent experimental results in the context of theoretical work and provide an analysis of the intertwining parameters that contribute to this effect.