91 papers
This paper demonstrates fast, scalable readout of silicon double quantum dot spin qubits fabricated with industry-compatible processes, utilizing a second self-aligned gate layer for interdot coupling tunability and gate-based reflectometry for charge sensing and spin readout.
This paper demonstrates that the optical extinction manifold of dielectric materials exhibits intrinsic sparsity best captured by the Discrete Cosine Transform rather than the FFT, enabling a compressed sensing architecture that achieves high-fidelity material reconstruction with a 51–94% reduction in hardware sensors by overcoming traditional Nyquist limits.
This paper demonstrates that the derivative-divide method applied to microwave transmission data effectively isolates weak magnetic responses in ultrathin films, enabling the detection of magnon-photon coupling in yttrium iron garnet and CoFeB layers down to thicknesses of 60 nm and 5 nm, respectively.
This paper introduces a method that transforms multivariate time series into symbolic sequences to identify statistically significant higher-order dependencies via a Bayesian approach, modeling these motifs as hyperedges in a hypergraph to reveal meaningful interactions in complex systems like neural and social networks.
This paper demonstrates that aeroacoustic emissions from intense evaporation encode sub-millisecond physics-governed fingerprints of vapor-jet dynamics, enabling the development of a theoretical framework that accurately tracks transient cavity properties and identifies critical transitions in metallic additive manufacturing.
This paper presents a scalable experimental protocol combining silicon microfabrication and custom-built scanning optical pump-probe techniques to fabricate and dynamically characterize microarchitected elastic waveguides, demonstrating their ability to guide waves along arbitrary paths with sub-unit cell resolution.
This paper presents a novel experimental setup at the FIGARO instrument that integrates in-situ interfacial shear rheology with neutron reflectometry to enable simultaneous structural and dynamical analysis of complex fluid interfaces on the same sample.
This paper demonstrates that the Continuous-Time Koopman Autoencoder (CT-KAE) serves as a lightweight, stable, and efficient surrogate model for long-horizon ocean state forecasting, outperforming autoregressive Transformer baselines by maintaining bounded errors and consistent large-scale statistics over 2083-day rollouts while enabling resolution-invariant predictions.
This paper demonstrates the successful fabrication of high-purity, nuclear-spin-free Ge quantum wells using solid-source molecular beam epitaxy, achieving record-low interface widths and electron mobilities limited primarily by residual carbon impurities, thereby advancing the material quality required for scalable solid-state quantum information processing.
This paper introduces TRec, a physics-informed muon scattering tomography framework that significantly enhances the detection of missing fuel in sealed microreactor cores by reconstructing curved muon trajectories and incorporating momentum measurements, thereby outperforming conventional methods like PoCA in both sensitivity and speed under realistic cosmic-ray conditions.
This paper demonstrates that modifying a Su-Schrieffer-Heeger-inspired stiffness dimer with a local resonator creates a topological band gap that supports an ultra-localized edge state confined to a single boundary particle, achieving the theoretical limit of localization through an attenuation singularity while remaining robust against disorder via tuned boundaries.
This paper reports the first experimental demonstration of a resonant optical diagonal Tellegen effect in a metasurface composed of randomly distributed cobalt-silicon nanoscatterers, achieving a response 100 times stronger than natural materials and enabling bias-free nonreciprocal optical devices.
This paper introduces NeuroSPICE, a physics-informed neural network framework that solves circuit differential-algebraic equations via backpropagation to provide a flexible alternative to conventional SPICE for simulating emerging nonlinear devices and addressing inverse problems, despite not surpassing traditional solvers in raw speed or accuracy.
This paper proposes and validates a novel anti-P-pseudo-Hermitian mechanical system integrated with piezoelectric components and non-reciprocal coupling, which leverages programmable exceptional points to achieve high-precision detection of minute mass variations and surface cracks.
This review comprehensively examines the critical role of grain boundaries in ceramic solid-state lithium metal batteries, exploring their influence on transport properties and failure mechanisms while highlighting recent advances in characterization, modeling, and engineering strategies to enhance battery performance and safety.
This paper demonstrates that multislice electron ptychography enables 3D atomic-scale metrology of gate-all-around transistors, simultaneously quantifying strain relaxation, interface roughness, and defects to provide critical data for optimizing next-generation semiconductor performance.
By engineering the stacking configuration and twist angle of orthogonally-twisted CrSBr van der Waals magnets, researchers demonstrate a highly tunable magnetic hysteresis that enables on-demand switching between volatile and non-volatile memory states and controls abrupt spin-reversal processes, offering a new pathway for miniaturized spintronic devices.
This paper presents and validates an equivalent circuit model demonstrating that thin metallic foils can mediate mutual resistive coupling between three microwave cavities, enabling a controllable anti-resonance with nearly an order-of-magnitude enhanced phase sensitivity under balanced excitation conditions.
This paper introduces Spectral Dynamics Reservoir Computing (SDRC), a hardware-efficient framework that leverages the fast spectral dynamics of physical systems to achieve high-speed, high-performance neuromorphic processing without the need for complex, precision-sensitive integrated circuits, as demonstrated by state-of-the-art results on benchmark and speech recognition tasks using spin waves.
This study demonstrates that ferroelectric nematic liquid crystals exhibit reversible, large-scale electrochromic tuning of their reflection wavelength under electric fields applied along the helix axis, a phenomenon attributed to helical deformation and supported by a theoretical model that also estimates the splay elastic constant.