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Related Concept Videos

IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

2.6K
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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Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

499
The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
499
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

1.5K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
1.5K
IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

1.1K
Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
1.1K
¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

¹H NMR of Conformationally Flexible Molecules: Temporal Resolution

897
At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
897

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Connecting Vibrational Spectroscopy to Atomic Structure via Supervised Manifold Learning: Beyond Peak Analysis.

Daniel Vizoso1, Ghatu Subhash2, Krishna Rajan3

  • 1Center for Integrated Nanotechnologies, Sandia National Laboratories, Albuquerque, New Mexico87185, United States.

Chemistry of Materials : a Publication of the American Chemical Society
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Summary
This summary is machine-generated.

This study introduces a new machine learning method to analyze vibrational spectroscopy data, improving the understanding of atomic structures. The technique accurately decodes complex spectra beyond traditional peak analysis.

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Area of Science:

  • Materials Science
  • Spectroscopy
  • Computational Chemistry

Background:

  • Vibrational spectroscopy is crucial for analyzing atomic structures but interpreting spectra is challenging.
  • Human analysis of spectroscopic peaks can be difficult and convoluted for complex structures.

Purpose of the Study:

  • To develop a reliable protocol using supervised manifold learning to connect vibrational spectra with diverse atomic structure configurations.
  • To overcome limitations of classical peak analysis in vibrational spectroscopy.

Main Methods:

  • Utilized supervised manifold learning techniques, including linear and nonlinear dimensionality reduction.
  • Applied decision trees to correlate reduced spectral features with structural information.
  • Generated and analyzed a large database of virtual vibrational spectroscopy profiles from atomistic simulations of silicon.

Main Results:

  • Achieved over 97% accuracy in disentangling contributions from different material states (stress, amorphization, disorder).
  • Demonstrated robustness against noise in spectroscopic data.
  • Successfully correlated spectral features with structural information not discernible through classical peak analysis.

Conclusions:

  • The developed protocol offers a comprehensive decoding of vibrational spectroscopic profiles, extending beyond human-identifiable peak analysis.
  • Supervised manifold learning provides a powerful approach for complex materials characterization using vibrational spectroscopy.
  • This method enhances the ability to link spectroscopic data to detailed atomic structure configurations.