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Articles 27871 - 27876 of 27876
Full-Text Articles in Physical Sciences and Mathematics
Wavefront-Selective Fano Resonant Metasurface, Adam C. Overvig, Andrea Alù
Wavefront-Selective Fano Resonant Metasurface, Adam C. Overvig, Andrea Alù
Publications and Research
Fano resonances are conventionally understood as sharp spectral features with selectivity in the momentum-frequency domain, implying that they can be excited only by plane waves with specific frequencies and incident angles. We demonstrate that Fano resonances can be made generally selective in the space-frequency domain. They can be tailored to resonate only when excited by a frequency, polarization, and wavefront of choice. This generalization reveals that Fano systems are characterized by eigenwaves that scatter to their time-reversed image upon reflection. Although in conventional Fano systems this trivially occurs for normally incident plane waves, we show that, in general, the selected …
Toward A Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (A Case Study And Framework For Progress), Ryan C. Mcgranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina A. Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone
Toward A Next Generation Particle Precipitation Model: Mesoscale Prediction Through Machine Learning (A Case Study And Framework For Progress), Ryan C. Mcgranaghan, Jack Ziegler, Téo Bloch, Spencer Hatch, Enrico Camporeale, Kristina A. Lynch, Mathew Owens, Jesper Gjerloev, Binzheng Zhang, Susan Skone
Dartmouth Scholarship
We advance the modeling capability of electron particle precipitation from the magnetosphere to the ionosphere through a new database and use of machine learning (ML) tools to gain utility from those data. We have compiled, curated, analyzed, and made available a new and more capable database of particle precipitation data that includes 51 satellite years of Defense Meteorological Satellite Program (DMSP) observations temporally aligned with solar wind and geomagnetic activity data. The new total electron energy flux particle precipitation nowcast model, a neural network called PrecipNet, takes advantage of increased expressive power afforded by ML approaches to appropriately utilize diverse …
Petrology Of An Oxidized Blueschist Cobble From The San Onofre Breccia, California, Usa, Alaina A. Helm
Petrology Of An Oxidized Blueschist Cobble From The San Onofre Breccia, California, Usa, Alaina A. Helm
Honors Papers
The mid-Miocene San Onofre Breccia (SOB) found along the southern California borderlands contains clasts of several lithologies including high-pressure metamorphic rocks commonly thought to be shed from the Catalina Schist. Sorensen concluded the San Onofre Schist was part of the Franciscan Complex, although at that time the Catalina subduction was considered to be part of the Franciscan Complex. In this study, a ~10 cm cobble collected from the San Onofre type locality was studied to describe its mineralogy and estimate its conditions of metamorphism. The cobble is composed of glaucophane (35%) + epidote (15%) + garnet (13%) + phengite (12%) …
Characterizations Of Student, Instructor, And Textbook Discourse Related To Basis And Change Of Basis In Quantum Mechanics, Kaitlyn Stephens Serbin, Megan Wawro, Rebecah Storms
Characterizations Of Student, Instructor, And Textbook Discourse Related To Basis And Change Of Basis In Quantum Mechanics, Kaitlyn Stephens Serbin, Megan Wawro, Rebecah Storms
School of Mathematical and Statistical Sciences Faculty Publications and Presentations
Communities develop social languages in which utterances take on culturally specific situated meanings. As physics students interact in their classroom, they can learn the broader physics community’s social language by co-constructing meanings with their instructors. We provide an exposition of a systematic and productive use of idiosyncratic, socially acquired language in two classroom communities that we consider to be subcultures of the broader community of physicists. We perform a discourse analysis on twelve quantum mechanics students, two instructors, and the course text related to statements about basis and change of basis within a spin-½ probability problem. We classify the utterances’ …
Visual-Saliency-Based Abnormality Detection For Mri Brain Images—Alzheimer’S Disease Analysis, A. Diana Andrushia, K. Martin Sagayam, Helen Dang, Marc Pomplun, Lien Quach
Visual-Saliency-Based Abnormality Detection For Mri Brain Images—Alzheimer’S Disease Analysis, A. Diana Andrushia, K. Martin Sagayam, Helen Dang, Marc Pomplun, Lien Quach
Faculty Works: MCS (1984-2023)
In recent years, medical image analysis has played a vital role in detecting diseases in their early stages. Medical images are rapidly becoming available for various applications to solve human problems. Therefore, complex medical features are needed to develop a diagnostic system for physicians to provide better treatment. Traditional methods of abnormality detection suffer from misidentification of abnormal regions in the given data. Visual-saliency detection methods are used to locate abnormalities to improve the accuracy of the proposed work. This study explores the role of a visual saliency map in the classification of Alzheimer’s disease (AD). Bottom-up saliency corresponds to …
Nature-Based Solutions For Coastal Resilience, Center For Coastal Resources Management, Virginia Institute Of Marine Science
Nature-Based Solutions For Coastal Resilience, Center For Coastal Resources Management, Virginia Institute Of Marine Science
Reports
Rivers & Coast is a periodic publication of the Center for Coastal Resources Management, Virginia Institute of Marine Science. The goal of Rivers & Coast is to keep readers well informed of current scientific understanding behind key environmental issues related to watershed rivers and coastal ecosystems of the Chesapeake Bay.