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To control and enhance light-matter interactions at the nanoscale, two parameters are central: the spectral overlap between an optical cavity mode and the material's spectral features (for example, excitonic or molecular absorption lines), and the quality factor of the cavity. Controlling both parameters simultaneously would enable the investigation of systems with complex spectral features, such as multicomponent molecular mixtures or heterogeneous solid-state materials. So far, it has been possible only to sample a limited set of data points within this two-dimensional parameter space. Here we introduce a nanophotonic approach that can simultaneously and continuously encode the spectral and quality-factor parameter space within a compact spatial area. We use a dual-gradient metasurface design composed of a two-dimensional array of smoothly varying subwavelength nanoresonators, each supporting a unique mode based on symmetry-protected bound states in the continuum. This results in 27,500 distinct modes and a mode density approaching the theoretical upper limit for metasurfaces. By applying our platform to surface-enhanced molecular spectroscopy, we find that the optimal quality factor for maximum sensitivity depends on the amount of analyte, enabling effective molecular detection regardless of analyte concentration within a single dual-gradient metasurface. Our design provides a method to analyse the complete spectral and coupling-strength parameter space of complex material systems for applications such as photocatalysis, chemical sensing and entangled photon generation.
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http://dx.doi.org/10.1038/s41565-024-01767-2 | DOI Listing |
J Am Soc Mass Spectrom
September 2025
Nontargeted Separations Laboratory, Chemistry Department, William & Mary, Integrated Science Center 1053, 540 Landrum Drive, Williamsburg, Virginia 23188, United States.
Fingerprints are routinely used as evidence in forensic investigations. Fingermarks, any mark left by a donor whether a complete print or not, include sweat and oil excreted by the donor. The chemical components of fingermarks are typically analyzed by gas chromatography-mass spectrometry (GC-MS).
View Article and Find Full Text PDFPLoS One
September 2025
Department of Maths and Computer Science, Faculty of Science, University of Kinshasa, Kinshasa, The Democratic Republic of the Congo.
Reliable and timely fault diagnosis is critical for the safe and efficient operation of industrial systems. However, conventional diagnostic methods often struggle to handle uncertainties, vague data, and interdependent multi-criteria parameters, which can lead to incomplete or inaccurate results. Existing techniques are limited in their ability to manage hierarchical decision structures and overlapping information under real-world conditions.
View Article and Find Full Text PDFJB JS Open Access
September 2025
Division of Orthopedic Surgery, Department of Regenerative and Transplant Medicine, Niigata University Graduate School of Medical and Dental Science, Niigata, Japan.
Background: Lower extremity alignment in knee osteoarthritis (OA) is conventionally assessed using standing radiographs. However, symptoms often manifest during gait. Understanding dynamic alignment during gait may help characterize disease progression and inform treatment strategies.
View Article and Find Full Text PDFBMC Plant Biol
September 2025
Department of Botany and Microbiology, Faculty of Science, Alexandria University, Alexandria, Egypt.
Background: Because of their ecological, aesthetic, and beneficial characteristics, native desert plants are highly significant. They can also be utilized in landscape architecture, particularly in environments with harsh conditions. The present study aims to evaluate the potential utilization of the wild desert plants Pancratium maritimum L.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Program of Computational Sciences, Bard College, Annandale-on-Hudson, New York, United States of America.
Agent-based models (ABMs) have become essential tools for simulating complex biological, ecological, and social systems where emergent behaviors arise from the interactions among individual agents. Quantifying uncertainty through global sensitivity analysis is crucial for assessing the robustness and reliability of ABM predictions. However, most global sensitivity methods demand substantial computational resources, making them impractical for highly complex models.
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