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Related Concept Videos

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are slanted or...
UV–Vis Spectroscopy: Molecular Electronic Transitions01:16

UV–Vis Spectroscopy: Molecular Electronic Transitions

In Ultraviolet–Visible (UV–Vis) spectroscopy, the absorption of electromagnetic radiation is used to probe the electronic structure of molecules. This technique provides insights into molecular electronic transitions, particularly the movement of electrons between different molecular orbitals. Radiation is absorbed if the energy of the electromagnetic radiation passing through the molecule is precisely equal to the energy difference between the excited and ground states. During this process,...
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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...
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

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 the...
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

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 C=O, C=N, and C=C occur between 1600–1850 cm−1.
The...
Mass Spectrum: Interpretation01:24

Mass Spectrum: Interpretation

An unknown compound can be established by identifying the molecular ion peak in the mass spectrum. The molecular ion peak is often weak or absent due to the predominance of fragmentation in high-energy electron beams. In such cases, a soft-energy electron beam can be used to scan the spectrum to enhance the intensity of the molecular ion peak. Additionally, chemical ionization, field ionization, and desorption ionization spectra are used to obtain a relatively intense molecular ion peak.To...

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Determining the Ice-binding Planes of Antifreeze Proteins by Fluorescence-based Ice Plane Affinity
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Molecular Fingerprints of Ice Surfaces in Sum Frequency Generation Spectra: A First-Principles Machine Learning

Margaret L Berrens1,2, Marcos F Calegari Andrade2,3, John T Fourkas4,5,6

  • 1Department of Chemistry, University of California Davis, One Shields Ave., Davis, California 95616, United States.

JACS Au
|March 28, 2025
PubMed
Summary
This summary is machine-generated.

This study uses machine learning to analyze ice surface structure using vibrational sum-frequency generation (SFG) spectroscopy. Simulations reveal a proton-ordered arrangement at the ice surface, aiding interpretation of environmental chemistry at the air-ice interface.

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Area of Science:

  • Surface science
  • Spectroscopy
  • Computational chemistry

Background:

  • Understanding ice surface molecular structure is vital for atmospheric and chemical processes.
  • Vibrational sum-frequency generation (SFG) spectroscopy is key for air-ice interface studies.
  • Interpreting SFG spectra of ice surfaces remains challenging.

Purpose of the Study:

  • To calculate the SFG spectrum of the air-ice interface using advanced computational methods.
  • To elucidate the molecular-level structure and dynamics of ice surfaces.
  • To improve the interpretation of SFG spectra for environmental chemistry applications.

Main Methods:

  • Utilizing a machine-learning potential trained on ab initio data.
  • Employing dipole and polarizability models for spectrum calculation.
  • Simulating the air-ice interface at temperatures below surface premelting.

Main Results:

  • Simulations support a proton-ordered arrangement at the Ice I surface, akin to Ice XI.
  • Provided insights into assigning SFG peaks to specific molecular configurations.
  • Assessed the influence of subsurface layers on the overall SFG spectrum.

Conclusions:

  • The study enhances the understanding and interpretation of vibrational studies at the ice surface.
  • Machine learning potentials offer a powerful approach for analyzing complex interface spectra.
  • Findings contribute to deciphering chemical and physical processes involving ice surfaces.