activity
20232026
collaborators

6 papers

cond-mat.mtrl-sci2026

Unlocking Static Polarization and Strain Density Waves in Perovskites by Softening a Hidden Antiferrodistortive Tilt Gradient Mode

Yajun Zhang, Devesh R. Kripalani, Xu He +9

Spin density waves (SDWs) represent a fundamental paradigm of spatially modulated order in condensed matter systems, yet their electrical and mechanical analogues polarization and…

physics.comp-ph2025

Are Foundational Atomistic Models Reliable for Finite-Temperature Molecular Dynamics?

Denan Li, Jiyuan Yang, Xiangkai Chen +2

Machine learning force fields have emerged as promising tools for molecular dynamics (MD) simulations, potentially offering quantum-mechanical accuracy with the efficiency of class…

cond-mat.mtrl-sci2024

Topological phase transitions in perovskite superlattices driven by temperature, electric field, and doping

Jiyuan Yang, Shi Liu

Many dipolar topological structures have been experimentally demonstrated in (PbTiO)/(SrTiO) superlattices, such as flux-closure, vortice, and skyrmion. In this wor…

cond-mat.mtrl-sci2024

Theoretical lower limit of coercive field in ferroelectric hafnia

Jiyuan Yang, Jing Wu, Jingxuan Li +4

The high coercive field () of hafnia-based ferroelectrics presents a major obstacle to their applications. The ferroelectric switching mechanisms in hafnia that dictate ,…

cond-mat.mtrl-sci2024

Giant piezoelectric effects of topological structures in stretched ferroelectric membranes

Yihao Hu, Jiyuan Yang, Shi Liu

Freestanding ferroelectric oxide membranes emerge as a promising platform for exploring the interplay between topological polar ordering and dipolar interactions that are continuou…

physics.chem-ph2023

DPA-2: a large atomic model as a multi-task learner

Duo Zhang, Xinzijian Liu, Xiangyu Zhang +40

The rapid advancements in artificial intelligence (AI) are catalyzing transformative changes in atomic modeling, simulation, and design. AI-driven potential energy models have demo…