Published March 1, 2020 | Version v1
Journal article

An efficient space-time phase field discretization for ferroelectrics

  • 1. School of Materials Science and Engineering, Hanoi University of Science and Technology, No. 1, Dai Co Viet Street, Hanoi (Viet Nam)
  • 2. Department of Civil and Environmental Engineering, Tokyo Institute of Technology, 2-12-1-W8-22, Ookayama, Meguro-ku, Tokyo 152-8552 (Japan)
  • 3. Institute of Computational Engineering, University of Luxembourg, 6 Avenue de la Fonte, 4362 Esch-sur-Alzette (Luxembourg)
  • 4. Department of Engineering Mechanics & Key Laboratory of Soft Machines and Smart Devices of Zhejiang Province, Zhejiang University, Zheda Road 38, Hangzhou 310027 (China)

Description

Recent developments of phase field model based on the Ginzburg–Landau theory have provided an unprecedented look at the formation of polarization domain structures and rich phenomena of polarization behaviors in nanoscale ferroelectrics under electrical and mechanical multi-fields. However, the phase field simulations are often computationally expensive. One of the major reasons behind this inefficiency is due to the complex spatio-temporal effects on the dynamical behavior of polarization. In this work, an efficient scheme with error control and adaptive time-stepping is introduced to the phase field model in the context of Ginzburg–Landau theory. The proposed time adaptivity algorithm is based on the discrete maximum norm of the difference in numerical solutions at three consecutive time steps. In addition, the energy stability of the proposed scheme is demonstrated. Several benchmarks of convergence tests are presented to validate the model. The performance of proposed technique is illustrated through numerical examples involving behaviors of polarization in complex ferroelectric nanostructures in three dimensions. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1361-651X/ab620a

Additional details

Identifiers

Publishing Information

Journal Title
Modelling and Simulation in Materials Science and Engineering
Journal Volume
28
Journal Issue
2
Journal Page Range
[21 p.]
ISSN
0965-0393

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53021265
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALGORITHMS; CONTROL; DOMAIN STRUCTURE; ERRORS; FERROELECTRIC MATERIALS; INDIUM COMPLEXES; NANOSTRUCTURES; NUMERICAL SOLUTION; PERFORMANCE; POLARIZATION; SIMULATION; SPACE-TIME; STABILITY
Descriptors DEC
COMPLEXES; DIELECTRIC MATERIALS; MATERIALS; MATHEMATICAL LOGIC; MATHEMATICAL SOLUTIONS