1. Главная
  2. Ресурсы
  3. Библиотечный поиск
Machine learningmethod for predictingline-shapes of Fanoresonances induced bybound states in thecontinuum Gerasimov V.S.Kostyukov A.S.Ershov A.E.2025 год

Machine learning method for predicting line-shapes of Fano resonances induced by bound states in the continuum : научное издание
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Machine learning method for predicting line-shapes of Fano resonances induced by bound states in the continuum : научное издание / V. S. Gerasimov, A. S. Kostyukov, A. E. Ershov [et al.]. - Текст : непосредственный // Scientific Reports. - 2025. - Т. 15, № 1. - P. 31187. - ISSN 2045-2322, DOI 10.1038/s41598-025-16192-1.
Аннотация: <jats:title>Abstract</jats:title> <jats:p>We consider resonances induced by symmetry protected bound states in the continuum in dielectric gratings with in-plane mirror symmetry. It is shown that the shape of the resonance in transmittance is controlled by two parameters in a generic formula which can be derived in the framework of the coupled mode theory. It is numerically demonstrated that the formula encompasses various line-shapes including asymmetric Fano, Lorentzian, and anti-Lorentzian resonances. It is confirmed that the transmittance zeros are always present even in the absence up-down symmetry. At the same time reflectance zeros are not generally present in the single mode approximation. It is found that the line-shapes of Fano resonances can be predicted to a good accuracy by the random forest machine learning method which outperforms the standard least square methods approximation in error by an order of magnitude in error with the training dataset size <jats:inline-formula> <jats:tex-math>$$N\approx 10
Год издания: 2025
Авторы: Gerasimov V.S., Kostyukov A.S., Ershov A.E., Maksimov D.N., Kimberg V., Molokeev M.S., Polyutov S.P.
Издательство: Springer Nature, Berlin
Источник: Scientific Reports
Выпуск: Т. 15, № 1
Номера страниц: 31187
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

Похожие публикации

Fano feature inducedby a bound state inthe continuum viaresonant stateexpansion Pankin Pavel S.Maksimov Dmitrii N.Chen Kuo-Ping2020 год

Fano feature induced by a bound state in the continuum via resonant state expansion : статья из журнала

  • Pankin Pavel S. и др.
  • 2020 год
Predicting treesurvival inagroforestry systemsusing machinelearningclassificationalgorithms Kravtsov KirillKukartsev VladislavStepanova Elina2024 год

Predicting tree survival in agroforestry systems using machine learning classification algorithms : статья из журнала

  • Kravtsov Kirill и др.
  • 2024 год
Light-Induced FanoResonances as anOptical Switch forIsotope-SelectivePhotodissociation Dang Jun JieLiu Yan RongKimberg Victor2026 год

Light-Induced Fano Resonances as an Optical Switch for Isotope-Selective Photodissociation : научное издание

  • Dang Jun Jie и др.
  • 2026 год
Temporal coupled modetheory: From boundstates in thecontinuum touniguided resonances Maksimov Dmitrii N.Pankin Pavel S.Kim Dong-Wook2025 год

Temporal coupled mode theory: From bound states in the continuum to uniguided resonances : научное издание

  • Maksimov Dmitrii N. и др.
  • 2025 год
Predictive models anddynamics of estimatesof applied taskscharacteristics usingmachine learningmethods Konstantinov A. V.2024 год

Predictive models and dynamics of estimates of applied tasks characteristics using machine… : статья из журнала

  • Konstantinov A. V.
  • 2024 год
Model Drift inDeployed MachineLearning Models forPredicting LearningSuccess Kustitskaya Tatiana A.Esin Roman V.Noskov Mikhail V.2025 год

Model Drift in Deployed Machine Learning Models for Predicting Learning Success : научное издание

  • Kustitskaya Tatiana A. и др.
  • 2025 год
Application ofmachine learningalgorithms forpredictingagricultural cropyields Kukartsev VladislavOrlov VasiliyKhramkov Vladimir2024 год

Application of machine learning algorithms for predicting agricultural crop yields : доклад, тезисы доклада, статья…

  • Kukartsev Vladislav и др.
  • 2024 год
Application ofmachine learningmethods to predictsoil moisture basedon meteorological andatmospheric data Tynchenko VadimKukartseva OksanaDegtyareva Ksenia2024 год

Application of machine learning methods to predict soil moisture based on meteorological and atmospheric data :…

  • Tynchenko Vadim и др.
  • 2024 год

Показать ещё

Predicting DiffusionCoefficients inNafion Membranesduring the SoakingProcess Using aMachine LearningApproach Malashin IvanDaibagya DaniilTynchenko Vadim2024 год

Predicting Diffusion Coefficients in Nafion Membranes during the Soaking Process Using a Machine… : статья из журнала

  • Malashin Ivan и др.
  • 2024 год
Low-Threshold BoundState in theContinuum Lasers inHybrid LatticeResonanceMetasurfaces Yang J.H.Huang Z.T.Hong K.B.2021 год

Low-Threshold Bound State in the Continuum Lasers in Hybrid Lattice Resonance Metasurfaces : научное издание

  • Yang J.H. и др.
  • 2021 год
Transmission throughquantum dots withvariable shape: Boundstates in thecontinuum Sadreev A.F.Bulgakov E.N.Pichugin K.N.2008 год

Transmission through quantum dots with variable shape: Bound states in the continuum : глава из книги

  • Sadreev A.F. и др.
  • 2008 год
Applying PredictiveMachine LearningAlgorithms toPetroleum RefiningProcesses as Part ofIntelligentAutomation Nekrasov I.S.Tynchenko V.S.Bukhtoyarov V.B.2022 год

Applying Predictive Machine Learning Algorithms to Petroleum Refining Processes as Part of Intelligent Automation :…

  • Nekrasov I.S. и др.
  • 2022 год
Applying PredictiveMachine LearningAlgorithms toPetroleum RefiningProcesses as Part ofIntelligentAutomation Nekrasov Ivan S.Tynchenko V.S.Bukhtoyarov V.V.2022 год

Applying Predictive Machine Learning Algorithms to Petroleum Refining Processes as Part of… : доклад, тезисы доклада

  • Nekrasov Ivan S. и др.
  • 2022 год
Predictive modellingof post-monsoongroundwater qualityin Telangana usingmachine learningtechniques Olentsova JuliaKukartsev VladislavOrlov Vasiliy2024 год

Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning… : доклад, тезисы доклада

  • Olentsova Julia и др.
  • 2024 год
Experimental evidencefor a laser-inducedautoionizing-likeresonance in thecontinuum Heller Yu.I.Lukinykh V.F.Popov A.K.1981 год

Experimental evidence for a laser-induced autoionizing-like resonance in the continuum : научное издание

  • Heller Yu.I. и др.
  • 1981 год
Line shape ofmagnetic resonance inthe Andersonapproximation withconsideration ofquadraticfluctuations Popov M.A.Zobov V.E.1996 год

Line shape of magnetic resonance in the Anderson approximation with consideration of quadratic… : статья из журнала

  • Popov M.A. и др.
  • 1996 год