Low phase-noise THz wave generation is in high demand for applications such as wireless communications and radars. Here, the authors generate low-noise THz waves via photodetection of the carrier of a Kerr frequency comb, which is repetition-rate stabilized using a two-wavelength delayed self-heterodyne interferometer.

The bulk-boundary correspondence is a defining feature of non-trivial topological matter and extends from the many topological orders that can exist in these systems. Here, the authors theoretically propose a feature distinct from the conventional bulk-boundary correspondence whereby localised modes exist between two flat-band systems with different geometric characters.

No physical system is truly isolated, and the influence of the external world on structure and dynamics of quantum many-body systems is not well explored. Alpha decays in mirror nuclei studied in this work demonstrate significant restructuring of quantum states due to decay.

Combinatorial optimization problems, such as the max-cut problem, present efficiency challenges for traditional algorithms but can be solved using unconventional computing platforms. Here we demonstrate that electrical-oscillator networks can suitably function as a computing architecture to minimize Ising-spin Hamiltonians for various 3-regular graphs.

Numerous results support that networks representing the structure of complex systems can be accompanied by hidden metric spaces. The present paper introduces a framework for embedding directed networks into hyperbolic spaces using dimension reduction techniques and a universal conversion method between Euclidean and hyperbolic node coordinates.

Revived interest in proton-boron fusion has been fuelled by new laser matter interaction schemes with several possible applications. The authors report on a tabletop laser experiment that observes proton-boron fusion with an emphasis on the secondary cross-section peak around 150 keV.

This study analyzes the way car traffic networks collapse by connecting classical traffic flow descriptors with percolation theory: The maximum average car traffic flow in a network and the maximum number of congested clusters occur at the same moment, precluding the network percolation.

Manipulating binary digits of information (bits) is a prerequisite for reliable memory utilization. The authors present a dynamical framework in which a reinforcement learning agent harnesses the physics of simple multi-bit mechanical models to restore their memory, suggesting new optimal system designs.

UTe₂ receives significant attention as it may be an example of a spin-triplet superconductor but many features of this material are still to be fully understood. Here, the authors use muon spin rotation to investigate the existence of low-temperature magnetic clusters in single crystals of UTe₂ and discuss the potential relationship with the temperature dependent behaviour of the specific heat.

The physics of NiO under applied pressure has long been debated and the material has been a key contributor to our understanding of Mott insulators and strongly correlated materials more generally. Here, the authors perform high-pressure X-ray diffraction measurements reporting a pressure-induced structural phase transition for NiO, which they suggest is linked with the metal-insulator transition of this system.

A variety of complex networked systems, in biology, technology, and more, have the danger of falling into a potential stable state with abnormal activity, even if they are now at a normally functioning state. This manuscript shows how supporting the activity of a small fraction of nodes can make the system safe by eliminating the undesired state.

The intrusion and extrusion of non-wetting liquids has many industrial applications and understanding how the underlying dynamics that govern the interaction of a given liquid and a nanoporous material can help refine performance. Here, using molecular dynamics simulations, the authors consider the impact of pore connectivity on the water intrusion of hydrophobic nanopores finding that the depth of small interconnecting secondary channels plays a crucial role for the wetting/dewetting properties.

Antiferromagnetic systems are prospective materials for spintronic applications due to increased stability and speed of the magnetisation dynamics. Here, the authors use torque magnetometry and an easy-plane anisotropic model to investigate and understand the magnetic anisotropy of the non-collinear antiferromagnet EuCo₂As₂.