Phase‐Field Simulations in Ferroic Nanodomains: Defect‐Field Driven Microstructure–Functionality Manipulation

The quest for precise defect-field-driven microstructure-functionality manipulation represents a frontier in the design of next-generation ferroic materials. In ferroelastics, ferroelectrics, and ferromagnetics alike, nanoscale domain configurations-such as strain glass, relaxor, and spin glass states-govern critical functional properties, including colossal caloric effects, giant piezoelectricity, and ultralow hysteresis. However, a fragmented understanding for ferroic nanostructure-functionality relations persist across these material classes, largely because existing theoretical and computational descriptions lack a unified treatment of the local fields generated by defects. Based on phase-field modeling, a particularly powerful route to bridge microstructure and functionality, this review synthesizes cross-disciplinary research to establish a universal physical paradigm: defect-induced local suppression fields act as the common microscopic origin that disrupts long-range domain percolation, pins domain walls, and stabilizes functional nanodomains. We demonstrate a cohesive phase-field framework uniquely capable of such targeted microstructure-functionality manipulation, which integrates conventional energy descriptions with quantitatively derived local defect fields, obtained from atomistic simulations and experimental strain mapping, to predictively simulate and rationally tailor complex domain patterns. This review not only unifies the physics governing nanodomain formation and glassy transitions but also hopes to provide a predictive computational toolkit for high-performance applications in sensing, actuation, energy conversion, and solid-state cooling.

Authors

Institutions

Publication Details

Journal
Advanced Materials
Published
2026-03-12
DOI
https://doi.org/10.1002/adma.202515831
Primary Topic
Ferroelectric and Piezoelectric Materials
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phase‐Field Simulations in Ferroic Nanodomains: Defect‐Field Driven Microstructure–Functionality Manipulation

Chuanxin Liang, Liqiang He, Dong Wang, Le Zhang
Advanced Materials
Ferroelectric and Piezoelectric Materials
article

Phase‐Field Simulations in Ferroic Nanodomains: Defect‐Field Driven Microstructure–Functionality Manipulation

Chuanxin Liang, Liqiang He, Dong Wang, Le Zhang
article en

Abstract

The quest for precise defect-field-driven microstructure-functionality manipulation represents a frontier in the design of next-generation ferroic materials. In ferroelastics, ferroelectrics, and ferromagnetics alike, nanoscale domain configurations-such as strain glass, relaxor, and spin glass states-govern critical functional properties, including colossal caloric effects, giant piezoelectricity, and ultralow hysteresis. However, a fragmented understanding for ferroic nanostructure-functionality relations persist across these material classes, largely because existing theoretical and computational descriptions lack a unified treatment of the local fields generated by defects. Based on phase-field modeling, a particularly powerful route to bridge microstructure and functionality, this review synthesizes cross-disciplinary research to establish a universal physical paradigm: defect-induced local suppression fields act as the common microscopic origin that disrupts long-range domain percolation, pins domain walls, and stabilizes functional nanodomains. We demonstrate a cohesive phase-field framework uniquely capable of such targeted microstructure-functionality manipulation, which integrates conventional energy descriptions with quantitatively derived local defect fields, obtained from atomistic simulations and experimental strain mapping, to predictively simulate and rationally tailor complex domain patterns. This review not only unifies the physics governing nanodomain formation and glassy transitions but also hopes to provide a predictive computational toolkit for high-performance applications in sensing, actuation, energy conversion, and solid-state cooling.

Advanced Materials
Xi'an Jiaotong University (CN)
Affordable and clean energy
Openalex Percentile: Top 26%
Ferroelectric and Piezoelectric Materials
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.