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612-822-4611
First-Principles and Machine Learning Study of Anharmonic Vibration and Dielectric Properties of Materials

First-Principles and Machine Learning Study of Anharmonic Vibration and Dielectric Properties of Materials

Hardcover

Series: Springer Theses

General ComputersPhysicsProbability & Statistics

ISBN10: 9819640237
ISBN13: 9789819640232
Publisher: Springer
Published: May 31 2025
Pages: 219
Weight: 1.13
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English

The book presents the author's development of two first-principles methods to calculate dielectric properties of materials based on anharmonic phonon and machine learning, and demonstrates an in-depth analysis of anharmonic crystals and molecular liquids. The anharmonic phonon method, combined with Born effective charges, is useful to study dielectric properties of crystals. The recently developed self-consistent phonon theory (SCPH) enables accurate simulations in strongly anharmonic materials. The author reveals that the combination of SCPH with the four-phonon scattering term accurately reproduces experimental spectra, and discusses how anharmonic phonon self-energies affect the dielectric properties.

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