Articles in 2024

Reservoir computing (RC) is energy-efficient due to its simple architecture, allowing physical implementation. The proposed self-modulated RC extends the capabilities of RC, exhibiting superior learning abilities and complex dynamics, including attention and chaos, while retaining the advantage of physical implementation.

One main obstacle of flow cytometry techniques is the inability to image internal structure of live cells on the go, posing challenges in deciphering their biological mechanisms. To overcome this limit, the authors devise a light-sheet-based multichannel, multisheet and multicolor volume imaging cytometry for interrogating cells flowing simultaneously through microfluidic channels.

Understanding the thermal transport properties of tungsten nitrides formed on the divertor surface of the tokamak is crucial, as they will be subjected to continuous heat flux. In this article, the authors theoretically calculated the influence of vacancy defects on the electrical and thermal conductivities of tungsten nitrides, providing an understanding of the mechanism behind the effects in terms of electron behavior.

Generating ultrashort spectrally tunable pulses via high-harmonic generation (HHG) enables matching the excitation photon energy to the characteristic resonance of the sample to study its ultrafast dynamics. The authors demonstrate a compact continuously tunable high-intensity VUV HHG source that can rival state-of-the-art seeded FELs.

Harmonics produced when structured lasers hit isotropic targets inherit the topological properties of the driver, but such properties become more complex in the case of anisotropic nonlinear targets. The authors exploit topological analysis of the high-order harmonics to spatially resolve the information about the nonlinear response of the target.

Twisted bilayer systems have become a popular tool to investigate strongly correlated phenomenon but such a setup can also be relevant on the macroscopic scale. Here, the authors investigate the transport of macroscopic magnetic particles between magnetic square patterns and consider the impact the twist angle and the impact of disorder exerts on the observed behaviour.

Understanding the material strength of heterogeneously wetted granular systems is challenging due to the presence of a liquid modifying the interaction between the grains. Here, the authors investigate the mechanical properties of grains wetted with silicon oil finding an increase in Young’s modulus and an increased resistance to compressive strains.

Discovering nonlinear differential equations from empirical data is a significant challenge, often requiring manual parameter tuning. This paper introduces a machine learning method integrating denoising techniques, sparse regression, and bootstrap confidence intervals, which shows consistent accuracy in identifying 3D dynamical systems with moderate data size and high signal quality.

A key problem in non-Hermitian lattice physics is restoring bulk-boundary correspondence. Here, the authors study two non-Hermitian models with a generalized boundary condition, proving that these systems can continuously be tuned from a periodic to an open boundary condition, showing a phase transition characterized by an exceptional point.

Surrogate networks are synthetic alternatives to real world networks that avoid expensive data collection and privacy issues, but they often lack information on the temporal or topological properties of the input network. The authors propose a method to construct realistic surrogate network, outperforming the existing ones in accuracy and execution time.

Quantum many-body systems may not thermalize due to the phenomenon of many-body localisation. Its theoretical underpinning is given by observables, the l-bits, which could not as of now be probed by experiments. The authors define experimentally relevant quantities to retrieve spatially resolved entanglement information, allowing to probe the l-bits.

Key players are a small number of vertices that govern the structure and function of a complex network, and their identification can grant answers in many disciplines. By tapping into quantum information, the authors introduce an entanglement-based metric capable of quantifying the perturbations caused by individual vertices on spectral entropy.

High-intensity vortex and vector laser pulses can enable a wide range of applications; however, their generation remains challenging. The manuscript demonstrates that the strongly-coupled stimulated Brillouin scattering in plasma can be used as a promising amplification technique for both vortex and vector laser pulses, and thus paves the way for novel optical devices.

Scanning tunneling microscopy (STM) is a powerful tool that can be used to both investigate and manipulate surfaces at the atomic scale. Here, using epitaxial graphene layers on a SiC substrate, the authors show that STM can be used to manipulate the covalent bonding between a graphitic buffer layer-substrate interface, and in turn modify the charge state of the epitaxial graphene.

Kagome materials provide a platform to investigate the interplay between a range of ordered phases such as charge density waves, superconductivity, as well as non-trivial topological properties. Here, the authors observed the two-fold symmetric superconductivity in RbV₃Sb₅, which suggests the presence of unconventional superconductivity involved with nematic states and spin-orbit-parity coupled superconductivity.

Whispering gallery mode microcavities with asymmetric backscattering provide a platform to characterise non-orthogonal Hermitian features, but the majority of the studies focus on near-field measurements. The authors realize a non-Hermitian platform and characterise its far-field features in terms of polarization via confocal micro-photoluminescence.

In the case of rare earth insulators, local moments on 4f-electron shells are coupled through interatomic superexchange interactions resulting in magnetic orders at low temperatures. Here, the authors demonstrate that conventional Heisenberg interactions in PrO₂ are negligible and its unusual magnetic ordering is driven by superexchange between high-order multipolar moments.

The Cheshire Cat phenomenon in quantum mechanics refers to a captivating observation where a particle and its properties behave as if they were separated. Here, the authors show the possibility of observing the Cheshire Cat phenomenon via interferometric neutron experiments in agreement with a weak measurement theoretical approach.

The lack of Galilean invariance in spin-orbit coupled systems greatly reduces the controllability of optical lattices and strongly limits applications. By simultaneously applying Raman and radio frequency coupling to a dilute-gas Bose-Einstein condensate, the authors generate an emerging lattice with restored Galilean invariance.

Topological superconductivity is anticipated to provide an appropriate platform for realizing Majorana fermions, garnering significant interest for the development of quantum computing. Here, using DFT and many-body mean-field theory, the authors investigate the bulk superconductivity of KZnBi where their calculations suggest the presence of hosohedral nodal-line superconductivity.