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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
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IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
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IR Absorption Frequency: Hybridization01:21

IR Absorption Frequency: Hybridization

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Hydrocarbons such as alkanes, alkenes, and alkynes show characteristic C–H stretching absorption bands. These IR stretching frequencies depend on the hybridization of the involved carbon atom and can be explained in terms of the s character of each hybridized atomic orbital.
Among the sp, sp2, and sp3 hybridized orbitals, sp orbitals have the maximum s character (50%). Consequently, the electrons are held more closely to the nucleus, resulting in stronger and shorter C–H bonds that...
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
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IR Spectrum Peak Intensity: Amount of IR-Active Bonds00:55

IR Spectrum Peak Intensity: Amount of IR-Active Bonds

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When infrared radiation is passed through a molecule, absorption occurs if the molecule's vibration leads to a substantial change in its bond dipole moment. Transitions between vibrational energy levels, typically corresponding to infrared frequencies (4000–400 cm−1), allow absorption if the vibration significantly alters the dipole moment, making the molecule infrared active. The molecular bonds have different stretching and bending vibrations, resulting in various peaks with...
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IR Absorption Frequency: Delocalization01:04

IR Absorption Frequency: Delocalization

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Electron delocalization refers to the distribution of electrons across multiple atoms within a molecule rather than being confined to a single atom or bond. This phenomenon is common in systems with conjugated bonds—structures where alternating single and double bonds allow π-electrons to move freely across the network. The movement of electrons stabilizes the molecule and can affect various chemical properties, including vibrational frequencies observed in IR spectroscopy.
In IR...
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Infrared bound states in the continuum: random forest method.

M S Molokeev, A S Kostyukov, A E Ershov

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    We used machine learning to predict infrared optical bound states in the continuum (BICs) in dielectric metasurfaces. Random forest models accurately forecast BIC frequencies and spectral bands, outperforming traditional methods.

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    Area of Science:

    • Photonics and Metamaterials
    • Computational Physics
    • Machine Learning Applications

    Background:

    • Optical bound states in the continuum (BICs) are fundamental phenomena in wave physics.
    • All-dielectric metasurfaces offer unique optical properties for manipulating light.
    • Predicting BIC behavior requires understanding complex structure-property relationships.

    Purpose of the Study:

    • To investigate infrared optical bound states in the continuum (BICs).
    • To develop a predictive model for BIC frequencies using machine learning.
    • To compare machine learning performance against conventional methods.

    Main Methods:

    • Utilized an all-dielectric metasurface composed of subwavelength dielectric gratings.
    • Applied the random forest machine learning algorithm for predictive modeling.
    • Analyzed the dependence of BIC frequency on optical and geometric parameters.

    Main Results:

    • The random forest method demonstrated superior performance compared to the least square method for datasets of approximately 4000 data points.
    • Successfully predicted the specific infrared subband into which BICs fall.
    • Identified key feature parameters significantly influencing BIC wavelength.

    Conclusions:

    • Machine learning, specifically random forest, is a powerful tool for predicting BIC properties in dielectric metasurfaces.
    • This approach enhances the understanding and design of optical devices utilizing BICs.
    • The identified feature parameters provide insights for targeted metasurface engineering.