The high-speed manipulation of light using the Pockels effect is a missing building block in photonic integrated chips based on amorphous materials. This work demonstrates a process for inducing a longlasting inscribed electric field responsible for an effective Pockels effect in amorphous silicon nitride electro-optic modulators at room temperature.

Recent advances in synthetic methods have allowed for the isolation and observation of superconductivity in nickelate compounds, but the exact nature of underlying mechanisms is still to be clarified. Here, the authors investigate the effect of nonmagnetic impurities on the superconductivity of La₃Ni₂O₇ under high-pressure and how this can impact differently on the s and d-wave order parameters.

Critical brain hypothesis states that neuronal networks in the brain operate close to criticality. This study demonstrates the importance of the hierarchical and modular structure of neuron connections in maintaining criticality: modules with sparsely connected neurons can sustain critical activity even when subjected to significant perturbations; however, as connection density increases, modularity alone proves inadequate to preserve criticality.

Quantum electrodynamics on a one-dimensional lattice can lead to the localization of charges, in contrast to the thermalizing dynamics ubiquitous in nature. In this work the authors identify the physical origin of such non-thermal signatures and attribute it to the fracturing of the underlying Hilbert space.

Impurity spins in solids are controllable multilevel quantum systems that can be harnessed for implementing quantum memories. In this work, the authors investigate the coupling strength between spins in a ruby crystal and a quantized electromagnetic mode using electron spin resonance technique.

The topological phase in amorphous systems that lack long-range order brings a fresh perspective to the topological states of matter. Here, the authors propose the concept of Floquet amorphous topological order and consider its realization with periodically-driven Rydberg atoms.

The rise of multi-Petawatt lasers opens new frontiers in exploring the quantum vacuum. This study presents real-time 3D simulations of vacuum birefringence and four-wave mixing, based on a semi-classical numerical solver integrated into a Particle-In-Cell code OSIRIS, capable of tracking the evolution of non-linearities.

Magnetic domain walls promise to be the potential candidate for advanced logic and neuromorphic computing devices. The present study explores spin-orbit torque driven complex nonlinear dynamics of achiral Néel domain walls in wide ferromagnetic strips and unveils the presence of dissipative solitons.

Rydberg molecules are a key element of ultracold chemistry. This work predicts the existence of a new type of long-range Rydberg trimer in dilute ultracold atomic-molecular mixtures, consisting of a bound state of a Rydberg atom and a polar diatomic molecule which is stabilized primarily by van der Waals interactions.

The robust termination of tokamak fusion plasmas poses massive simulation and control challenges. In this work, the authors provide simulation demonstrations of how techniques like neural differential equations and reinforcement learning can help with both real-time feedback control and offline trajectory design.

Simple interactions among coexisting biological species on a network can be harnessed to solve computationally hard problems. Solution quality improves under gradual increases in competitive pressure due to a cascade of bifurcations that implements Katz centrality-based node removal, yielding near-optimal maximum independent set.

As the standard technique of the Computational Fluid Dynamics (CFD) industry for simulating turbulent flows, the traditional Reynolds-averaged Navier-Stokes (RANS) method offers efficiency but incurs significant modeling errors compared to high-fidelity simulations. This study uses physics-informed machine learning to predict a correction for these modeling errors based on local observations of the mean flow, an approach found to generalize across a family of periodic hill flows.

Optically actuated microrobots enable precise microscale manipulation, yet achieving multiple degrees of freedom remains challenging. This work presents a chiral microrobot driven by optical tweezers that achieves controlled out-of-plane rotation with high torque and rotational velocity. In addition, it exhibits translation, rotation, and their controlled combination, enabling versatile actuation modes.