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Investigating physical models with photonic synthetic dimensions has been generating great interest in vast fields of science. The rapidly developing thin-film lithium niobate (TFLN) platform, for its numerous advantages including high electro-optic coefficient and scalability, is well compatible with the realization of synthetic dimensions in the frequency together with spatial domain. While coupling resonators with fixed beam splitters is a common experimental approach, it often lacks tunability and limits coupling between adjacent lattices to sites occupying the same frequency domain positions. Here, on the contrary, we conceive the resonator arrays connected by electro-optic tunable Mach-Zehnder interferometers in our configuration instead of fixed beam splitters. By applying bias voltage and RF modulation on the interferometers, our design extends such coupling to long-range scenario and allows for continuous tuning on each coupling strength and synthetic effective magnetic flux. Therefore, our design enriches controllable coupling types that are essential for building programmable lattice networks and significantly increases versatility. As the example, we experimentally fabricate a two-resonator prototype on the TFLN platform, and on this single chip we realize well-known models including tight-binding lattices, the Hall ladder and Creutz ladder. We directly observe the band structures in the quasi-momentum space and important phenomena such as spin-momentum locking, flat band and the Aharonov-Bohm cage effect. These results demonstrate the potential for convenient simulations of more complex models in our configuration.
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http://dx.doi.org/10.1038/s41467-025-63114-w | DOI Listing |
Rep Pract Oncol Radiother
August 2025
Department of Oncology and Radiotherapy, University Hospital Hradec Kralove, Hradec Kralove, Czech Republic.
Background: This study evaluates the quality of synthetic computed tomography (sCT) images for MR-only radiotherapy in prostate cancer using gamma analysis. A software tool, MRGamma, was developed to address challenges like the absence of electron density maps and registration uncertainties between magnetic resonance imaging (MRI) and planning CT (pCT).
Materials And Methods: Aplication developed in MATLAB assesses Hounsfield units (HU) discrepancies between CT and sCT images via 2D and 3D gamma analysis (GA).
J Chem Inf Model
September 2025
Key Laboratory of Micro-nano Sensing and IoT of Wenzhou, Wenzhou Institute of Hangzhou Dianzi University, Wenzhou 325038, China.
Transcription factors (TFs) are essential proteins that regulate gene expression by specifically binding to transcription factor binding sites (TFBSs) within DNA sequences. Their ability to precisely control the transcription process is crucial for understanding gene regulatory networks, uncovering disease mechanisms, and designing synthetic biology tools. Accurate TFBS prediction, therefore, holds significant importance in advancing these areas of research.
View Article and Find Full Text PDFSchizophr Bull
September 2025
MIT linQ, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
Background And Hypothesis: Loose Associations (LA) in speech are key indicators of psychosis risk, notably in schizophrenia. Current detection methods are hampered by subjective evaluation, small samples, and poor generalizability. We hypothesize that combining Large Language Models (LLMs) with machine learning techniques could enhance objective identification of LA through improved semantic and probabilistic linguistic measures.
View Article and Find Full Text PDFUltrasonics
September 2025
Nantes Université, Ecole Centrale Nantes, CNRS, GeM, UMR 6183, F-44000 Nantes, France.
This study investigates the sensitivity of ultrasonic phase velocity and attenuation statistics to grain size distribution types, specifically monomodal and bimodal, in cubic finite-sized polycrystals with identical overall arithmetic or volumetric grain size statistics. A large ensemble of synthetic polycrystalline microstructures was generated, and their ultrasonic responses were computed using a modified spectral function method. The latter enables estimation of both effective phase velocities and attenuation coefficients while rigorously accounting for finite specimen dimensions and statistical variabilities across different samples.
View Article and Find Full Text PDFChaos
September 2025
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institute for Frontier Materials on Earth and in Space, Linder Höhe, 51170 Cologne, Germany.
We study how the degree of nonlinearity in the input data affects the optimal design of reservoir computers (RCs), focusing on how closely the model's nonlinearity should align with that of the data. By reducing minimal RCs to a single tunable nonlinearity parameter, we explore how the predictive performance varies with the degree of nonlinearity in the model. To provide controlled testbeds, we generalize to the fractional Halvorsen system, a novel chaotic system with fractional exponents.
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