• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Monday, October 13, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News

Model of dielectric response promises improved understanding of innovative materials

Bioengineer by Bioengineer
September 6, 2025
in Science News
Reading Time: 3 mins read
0
IMAGE
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

A paper appeared in Chemical Physics

The contemporary materials industry raises the problem of creating a microscopic theory that allows to describe the observed physicochemical properties of a wide class of substances which are in demand in modern industry, medicine, and agriculture. A general and consistent theory will help to obtain reliable information from experimental data on the structure of matter, existing interactions and dynamic processes occurring in it, which can help in the synthesis and quality control of prospective materials.

The study of the molecular structure of a substance and its intermolecular interactions is one of the most important and interesting tasks facing modern science. Of particular interest is the study of molecular interactions in media with a disordered structure. Molecular interactions in disordered materials are studied by a variety of methods, but the most universal is the method of dielectric spectroscopy, which makes it possible to study processes occurring in perioids to 10^(-9) sec.

In disordered media, the main peak of the dielectric loss spectrum, as a rule, has a non-Debye shape: at low and high frequencies, it is determined by fractional power-law frequency dependences. Power exponents characterize the shape of the peak and are associated with the parameters of microscopic structural and dynamic processes in the studied environment. The non-Debye dielectric loss spectra can be divided into two groups according to the shape of the main peak: typical and atypical. Typical spectra, for which the high-frequency power-law exponent is higher than the low-frequency one, are well described by the so-called Havriliak-Negami function, account for 70% of the total number of non-Debye spectra and are well studied theoretically. Atypical spectra, for which, on the contrary, the low-frequency power exponent is higher than the high-frequency one, cannot be described by this function and have been studied much less. An atypical dielectric response is usually observed in disordered media with limited geometry.

This article, co-authored by Airat Khamzin (Kazan Federal University) and Alexander Nikitin (Kazan State Power Engineering Unviersity), proposes a new dielectric relaxation model that takes into account the spatial and energy disorder in the system. Spatial disorder is modeled using a space-dependent diffusion coefficient for charge carriers. Energy disorder is determined by widely distributed energy traps (localized states). The model leads to a new expression for the frequency dependence of the complex dielectric constant. The advantage of the new model is the possibility of obtaining relationships between the parameters of the dielectric function and the parameters of the microscopic structure of the medium under study.

The developed model is of great practical importance, since the application of the dielectric function obtained within the framework of the model to describe atypical peaks of dielectric losses will allow experimenters to extract the maximum of useful information about the structural and dynamic processes in the medium under study. In particular, the article shows that one of the indicators of the peak shape is directly related to the porosity of the medium. For porous glass, the porosity was estimated, which coincided with the value found in it by direct measurement.

The theoretical approach proposed in this article for describing dielectric behavior in media with a disordered structure is planned to be further developed to describe complex spectra, which, depending on temperature, exhibit features of atypical or typical relaxation behavior.

This study was made available online in March 2021 ahead of final publication in issue on July 1, 2021

###

Media Contact
Yury Nurmeev
[email protected]

Original Source

https://eng.kpfu.ru/novosti/model-of-dielectric-response-promises-improved-understanding-to-construct-innovative-materials/

Related Journal Article

http://dx.doi.org/10.1016/j.chemphys.2021.111163

Tags: Chemistry/Physics/Materials SciencesElectromagnetics
Share12Tweet8Share2ShareShareShare2

Related Posts

Varied Diets: Key to Sustainability and Health in Europe

October 13, 2025

Sound-Activated Drug Release Using Artificial Cilia System

October 13, 2025

Muscle Activity in Centric Relation Methods: A Study

October 13, 2025

Global Gender Disparities in Alopecia Areata Risk

October 13, 2025
Please login to join discussion

POPULAR NEWS

  • Sperm MicroRNAs: Crucial Mediators of Paternal Exercise Capacity Transmission

    1232 shares
    Share 492 Tweet 308
  • New Study Reveals the Science Behind Exercise and Weight Loss

    104 shares
    Share 42 Tweet 26
  • New Study Indicates Children’s Risk of Long COVID Could Double Following a Second Infection – The Lancet Infectious Diseases

    100 shares
    Share 40 Tweet 25
  • Revolutionizing Optimization: Deep Learning for Complex Systems

    91 shares
    Share 36 Tweet 23

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Varied Diets: Key to Sustainability and Health in Europe

Sound-Activated Drug Release Using Artificial Cilia System

Muscle Activity in Centric Relation Methods: A Study

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 64 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.