東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

First-principles and machine learnin...

Amano, Tomohito.

Linked to FindBook

Google Book

Amazon

博客來

First-principles and machine learning study of anharmonic vibration and dielectric properties of materials

Record Type:	Electronic resources : Monograph/item
Title/Author:	First-principles and machine learning study of anharmonic vibration and dielectric properties of materials/ by Tomohito Amano.
Author:	Amano, Tomohito.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xviii, 219 p. :ill. (some col.), digital ;24 cm.
Notes:	"Doctoral thesis accepted by The University of Tokyo, Tokyo, Japan."
[NT 15003449]:	Chapter 1 Introduction -- Chapter 2 Density Functional Theory -- Chapter 3 Anharmonic Phonon Theory -- Chapter 4 Modern Theory and Machine Learning of Polarization -- Chapter 5 Dielectric Properties of Strongly Anharmonic TiO2 -- Chapter 6 Dielectric Properties of Liquid Alcohols and Its Polymers -- Chapter 7 Conclusion.
Contained By:	Springer Nature eBook
Subject:	Materials - Electric properties. -
Online resource:	https://doi.org/10.1007/978-981-96-4024-9
ISBN:	9789819640249

First-principles and machine learning study of anharmonic vibration and dielectric properties of materials
Amano, Tomohito.

First-principles and machine learning study of anharmonic vibration and dielectric properties of materials[electronic resource] /by Tomohito Amano. - Singapore :Springer Nature Singapore :2025. - xviii, 219 p. :ill. (some col.), digital ;24 cm. - Springer theses,2190-5061. - Springer theses..

"Doctoral thesis accepted by The University of Tokyo, Tokyo, Japan."

Chapter 1 Introduction -- Chapter 2 Density Functional Theory -- Chapter 3 Anharmonic Phonon Theory -- Chapter 4 Modern Theory and Machine Learning of Polarization -- Chapter 5 Dielectric Properties of Strongly Anharmonic TiO2 -- Chapter 6 Dielectric Properties of Liquid Alcohols and Its Polymers -- Chapter 7 Conclusion.

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. The second method is molecular dynamics with Wannier centers-the mass centers of Wannier functions. The author constructs a machine learning model that learns Wannier centers for each chemical bond from atomic coordinates to accurately predict the dipole moments. The developed method is, in principle, applicable to molecules of arbitrary size. Its effectiveness is demonstrated and the dielectric properties of several alcohols, including dipole moments, dielectric constants, and absorption spectra, are analyzed. This book benefits students and researchers interested in anharmonic phonons, machine learning, and dielectric properties.

ISBN: 9789819640249

Standard No.: 10.1007/978-981-96-4024-9doiSubjects--Topical Terms:

654572
Materials
--Electric properties.

LC Class. No.: TA403.6

Dewey Class. No.: 620.11297

First-principles and machine learning study of anharmonic vibration and dielectric properties of materials
LDR:02845nmm a2200349 a 4500 001 2410529
003 DE-He213
005 20250531130238.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819640249 $q (electronic bk.)
020 $a 9789819640232 $q (paper)
024 7 $a 10.1007/978-981-96-4024-9 $2 doi
035 $a 978-981-96-4024-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA403.6
072 7 $a PHU $2 bicssc
072 7 $a SCI040000 $2 bisacsh
072 7 $a PHU $2 thema
082 0 4 $a 620.11297 $2 23
090 $a TA403.6 $b .A484 2025
100 1 $a Amano, Tomohito. $3 3784474
245 1 0 $a First-principles and machine learning study of anharmonic vibration and dielectric properties of materials $h [electronic resource] / $c by Tomohito Amano.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xviii, 219 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5061
500 $a "Doctoral thesis accepted by The University of Tokyo, Tokyo, Japan."
505 0 $a Chapter 1 Introduction -- Chapter 2 Density Functional Theory -- Chapter 3 Anharmonic Phonon Theory -- Chapter 4 Modern Theory and Machine Learning of Polarization -- Chapter 5 Dielectric Properties of Strongly Anharmonic TiO2 -- Chapter 6 Dielectric Properties of Liquid Alcohols and Its Polymers -- Chapter 7 Conclusion.
520 $a 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. The second method is molecular dynamics with Wannier centers-the mass centers of Wannier functions. The author constructs a machine learning model that learns Wannier centers for each chemical bond from atomic coordinates to accurately predict the dipole moments. The developed method is, in principle, applicable to molecules of arbitrary size. Its effectiveness is demonstrated and the dielectric properties of several alcohols, including dipole moments, dielectric constants, and absorption spectra, are analyzed. This book benefits students and researchers interested in anharmonic phonons, machine learning, and dielectric properties.
650 0 $a Materials $x Electric properties. $3 654572
650 0 $a Dielectrics. $3 658719
650 1 4 $a Computational Physics and Simulations. $3 3538874
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Semiconductors. $3 516162
650 2 4 $a Condensed Matter Physics. $3 1067080
650 2 4 $a Condensed Matter. $3 890855
650 2 4 $a Electronic Structure Calculations. $3 3601508
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Springer theses. $3 1314442
856 4 0 $u https://doi.org/10.1007/978-981-96-4024-9
950 $a Physics and Astronomy (SpringerNature-11651)