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We consider the interior transmission problem associated with the scattering by an inhomogeneous (possibly anisotropic) highly oscillating periodic media. We show that, under appropriate assumptions, the solution of the interior…

Analysis of PDEs · Mathematics 2015-10-12 Fioralba Cakoni , Houssem Haddar , Isaac Harris

Modern successes of diffusion models in learning complex, high-dimensional data distributions are attributed, in part, to their capability to construct diffusion processes with analytic transition kernels and score functions. The…

Machine Learning · Statistics 2024-03-01 Guan-Horng Liu , Tianrong Chen , Evangelos A. Theodorou , Molei Tao

Manipulation of radiation is required for enabling a span of electromagnetic applications. Since properties of antennas and scatterers are very sensitive to a surrounding environment, macroscopic artificially created materials are good…

Unidirectional reflectionless propagation (or transmission) is an interesting wave phenomenon observed in many $\mathcal{PT}$-symmetric optical structures. Theoretical studies on unidirectional reflectionless transmission often use simple…

Optics · Physics 2019-11-13 Lijun Yuan , Ya Yan Lu

The scattering of waves in a complex medium is perturbed by polarizability changes or motion of embedded targets. These perturbations could serve as perfectly non-invasive guidestars for focusing on the targets. In this Letter, we…

Optics · Physics 2024-01-30 Jérôme Sol , Luc Le Magoarou , Philipp del Hougne

Wave propagation in complex media is a universal problem spanning optics, acoustics, mechanics, and condensed matter physics. While disorder usually causes strong scattering, recent theory predicts that a special class of correlated…

Soft Condensed Matter · Physics 2026-02-10 Angélique Campaniello , Rémi Carminati , Marcel Filoche , Emmanuel Fort

Modern electronic systems operate in complex electromagnetic environments and must handle noise and unwanted coupling. The capability to isolate or reject unwanted signals for mitigating vulnerabilities is critical in any practical…

Applied Physics · Physics 2021-01-04 Benjamin W. Frazier , Thomas M. Antonsen , Steven M. Anlage , Edward Ott

Indoor localization has drawn much attention owing to its potential for supporting location based services. Among various indoor localization techniques, the received signal strength (RSS) based technique is widely researched. However, in…

Signal Processing · Electrical Eng. & Systems 2023-03-27 Haobo Zhang , Jingzhi Hu , Hongliang Zhang , Boya Di , Kaigui Bian , Zhu Han , Lingyang Song

Reconfigurable intelligent surface (RIS) has emerged as a cost-effective solution for green communications in 6G. However, its further extensive use has been greatly limited due to its fully passive characteristics. Considering the…

Information Theory · Computer Science 2025-01-15 Jintao Wang , Chengzhi Ma , Shiqi Gong , Xi Yang , Shaodan Ma

Filter synthesis is an inverse problem that is traditionally approached rationally by considering spatially disjoint resonators, approximating them as lumped elements, and engineering the coupling of selected pairs. This approach strongly…

Applied Physics · Physics 2024-07-09 Fabian T. Faul , Laurent Cronier , Ali Alhulaymi , A. Douglas Stone , Philipp del Hougne

Non-Hermitian photonic systems capable of perfectly absorbing incident radiation recently attracted much attention both because fundamentally they correspond to an exotic scattering phenomenon (a real-valued scattering matrix zero) and…

Classical Physics · Physics 2021-06-01 Philipp del Hougne , K. Brahima Yeo , Philippe Besnier , Matthieu Davy

This work continues the development of the raytracing method of [1] for computing the scattered fields from metasurfaces characterized by locally periodic reflection and transmission coefficients. In this work, instead of describing the…

Optics · Physics 2022-02-16 Scott Stewart , Yvo L. C. de Jong , Tom J. Smy , Shulabh Gupta

We extend the Finite-Difference Time-Domain method to treat dispersive magnetic media by incorporating magneto-optical effects through a frequency-dependent permittivity tensor. For benchmarking our method, we consider the light scattering…

A complete one-dimensional scattering of a spinless particle on a time-independent potential barrier is considered. To describe separately transmitted and reflected particles in the corresponding subsets of identical experiments, we…

Quantum Physics · Physics 2007-05-23 N. L. Chuprikov

Optical focusing at depths in tissue is the Holy Grail of biomedical optics that may bring revolutionary advancement to the field. Wavefront shaping is a widely accepted approach to solve this problem, but most implementations thus far have…

Applied Physics · Physics 2019-09-04 Yunqi Luo , Suxia Yan , Huanhao Li , Puxiang Lai , Yuanjin Zheng

The propagation of monochromatic light through a scattering medium produces speckle patterns in reflection and transmission, and the apparent randomness of these patterns prevents direct imaging through thick turbid media. Yet, since…

Recently, a circuits-based approach for modeling the mutual coupling of reconfigurable surfaces, which comprise sub-wavelength spaced passive scattering elements coupled with electronic circuits for enabling the reconfiguration of the…

Information Theory · Computer Science 2023-02-08 Marco Di Renzo , Vincenzo Galdi , Giuseppe Castaldi

Reconfigurable intelligent surface (RIS) has drawn considerable attention from the research society recently, which creates favorable propagation conditions by controlling the phase shifts of the reflected waves at the surface, thereby…

Information Theory · Computer Science 2019-11-01 Boya Di , Hongliang Zhang , Lingyang Song , Yonghui Li , Zhu Han , H. Vincent Poor

Fine-tuning large language models (LLMs) on private, on-device data can empower tailored personalized AI agents. However, fine-tuning LLMs on resource-constrained edge devices faces significant challenges, including excessive computation…

Machine Learning · Computer Science 2025-03-26 Jian Ma , Xinchen Lyu , Jun Jiang , Qimei Cui , Haipeng Yao , Xiaofeng Tao

Pretrained transformers provide rich, general-purpose embeddings, which are transferred to downstream tasks. However, current transfer strategies: fine-tuning and probing, either distort the pretrained geometric structure of the embeddings…

Machine Learning · Computer Science 2025-12-01 Pankhil Gawade , Adam Izdebski , Myriam Lizotte , Kevin R. Moon , Jake S. Rhodes , Guy Wolf , Ewa Szczurek