Raman spectroscopy is an important tool for studying molecules, liquids and solids. While Raman spectra can be obtained theoretically from molecular dynamics (MD) simulations, this requires the calculation of electronic polarizability along the simulation trajectory. First-principles calculations of electronic polarizability are computationally expensive, motivating the development of atomistic models for the evaluation of the changes in the electronic polarizability with the changes in the atomic coordinates of the system. The bond polarizability model (BPM) is one of the oldest and simplest such atomistic models but cannot reproduce the effects of angular vibrations, leading to inaccurate modeling of Raman spectra. Here, we demonstrate that the generalization of BPM through the inclusion of terms for atom pairs that are traditionally considered to be not involved in bonding dramatically improves the accuracy of polarizability modeling and Raman spectra calculations. The generalized BPM (GBPM) reproduces the ab initio polarizability and Raman spectra for a range of tested molecules (SO2, H2S, H2O, NH3, CH4, CH3OH, and CH3CH2OH) with high accuracy and also shows significantly improved agreement with ab initio results for the more complex ferroelectric BaTiO3 systems. For liquid water, the anisotropic Raman spectrum derived from atomistic MD simulations using the GBPM evaluation of polarizability shows significantly improved agreement with the experimental spectrum compared to the spectrum derived using the BPM. Thus, the GBPM can be used for the modeling of Raman spectra using large-scale molecular dynamics and provides a good basis for the further development of atomistic polarizability models.

Download full-text PDF

Source
http://dx.doi.org/10.1063/5.0246427DOI Listing

Publication Analysis

Top Keywords

raman spectra
24
modeling raman
16
electronic polarizability
12
polarizability
9
bond polarizability
8
polarizability model
8
raman
8
molecular dynamics
8
development atomistic
8
atomistic models
8

Similar Publications

In Situ Raman Spectra and Machine Learning Assistant Thermal Annealing Optimization for Effective Phototransistors.

ACS Appl Mater Interfaces

March 2025

State Key Laboratory of Luminescent Materials and Devices, Institute of Polymer Optoelectronic Materials and Devices, Guangdong Provincial Key Laboratory of Luminescence from Molecular Aggregates, South China University of Technology, Guangzhou 510640, P. R. China.

The relationship between the structure and function of condensed matter is complex and changeable, which is especially suitable for combination with machine learning to quickly obtain optimized experimental conditions. However, little research has been done on the effect of temperature on condensed matter and how it affects device performance because the difference between the in situ physical property parameters (which are lowered by the surface tension and mixing entropy) and the basic parameters of the bulk makes accurate AI predictions difficult. In this work, P3HT/ITIC was chosen as the donor/acceptor material for the active layer of organic phototransistors (OPTs).

View Article and Find Full Text PDF

Background: Plant-based milk alternatives (PBMA) are increasingly popular due to rising lactose intolerance and environmental concerns over traditional dairy products. However, limited efforts have been made to develop rapid authentication methods to verify their biological origin.

Objective: In this study, we developed a rapid, on-site analytical method for the authentication and identification of PBMA made by six different plant species utilizing a portable Raman spectrometer coupled with machine learning.

View Article and Find Full Text PDF

Spectroscopic Manifestation of a Weak van der Waals Interaction Between -Stilbene and Hexagonal Boron Nitride Surface.

Langmuir

March 2025

Department of Information and Electrical Engineering and Applied Mathematics, University of Salerno, via Giovanni Paolo II 132, Fisciano, Salerno 84084, Italy.

The interaction between organic molecules and nanomaterials leads to complexation or the functionalization of later and modification of their properties, which are promising for electronics, terahertz technology, photonics, medical imaging, drug delivery, and other applications. Based on theoretical and experimental (THz, Raman, and fluorescence spectroscopy) studies, we analyzed the main spectroscopic characteristics of a weakly bound van der Waals complex of -stilbene (TS) molecule and hexagonal boron nitride (hBN). Raman scattering was demonstrated to be the most effective tool to confirm complex formation, exhibiting blue-shifted TS fingerprint lines in the TS + hBN Raman spectrum with respect to the spectra of pure TS or BN.

View Article and Find Full Text PDF

Raman-Polarization-Fluorescence Spectroscopic Lidar for Real-Time Detection of Humic-like Substance Profiles.

Environ Sci Technol

March 2025

Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China.

Humic-like substances (HULIS) widely exist in the atmosphere and may strongly affect human health, environment, and climate. However, there are still no accurate methods for detecting the vertical distribution of HULIS. Here, a Raman-Polarization-Fluorescence Spectroscopic Lidar (RPFSL) was developed to simultaneously measure 64-channel broad fluorescence spectra (370-710 nm) of atmospheric aerosols at an excitation wavelength of 355 nm.

View Article and Find Full Text PDF

Study of Brain Cells in Neurodegenerative Diseases: Raman Microspectroscopy and Scanning Ion-Conductance Microscopy.

Sovrem Tekhnologii Med

March 2025

DSc, Professor, Department of Biophysics, Faculty of Biology; Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia; Professor, Department of Physical Materials; National University of Science and Technology "MISIS", 4 Leninsky Prospect, Moscow, 119049, Russia.

Unlabelled: was to identify differences in the structure of the neuronal process network as well as the composition and functional state of cells by studying the bodies and processes of rat brain neurons and astrocytes obtained from pluripotent stem cells of healthy donors and patients with hereditary Parkinson's disease by using a complex of modern high-precision methods such as Raman microspectroscopy, surface-enhanced Raman microspectroscopy, and scanning ion-conductance microscopy.

Materials And Methods: By using Raman spectroscopy and scanning ion-conductance microscopy, the researchers studied the morphology and state of molecules in rat brain neurons and astrocytes induced from pluripotent stem cells of healthy donors and patients with hereditary Parkinson's disease.

Results: The researchers established that typical bands of Raman and surface-enhanced Raman spectra of neurons and astrocytes allowed studying the distribution and conformation of a series of biological molecules (proteins, lipids, cytochromes) in healthy and unhealthy states.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!