papers

Publications (112)

cond-mat.supr-con2015

Oxygen Vacancy Induced Flat Phonon Mode at FeSe /SrTiO3 interface

Yun Xie, Hai-Yuan Cao, Yang Zhou +3

A high-frequency optical phonon mode of SrTiO3 (STO) was found to assist the high-temperature superconductivity observed recently at the interface between monolayer FeSe and STO su…

cond-mat.mtrl-sci2025

Orbital Order Triggered Out-of-Plane Ferroelectricity in Magnetic Transition Metal di-halide Monolayers

Xiao-Feng Luo, Xu He, Rui Wang +2

Although multiferroics have undergone extensive examination for several decades, the occurrence of ferroelectricity induced by orbital order is only scarcely documented. In this st…

cond-mat.mtrl-sci2014

Origin of Polar Distortion in LiNbO3-type "Ferroelectric" Metals: Role of A-site Instability and Short-Range Interactions

Hongjun Xiang

Since conduction electrons of a metal screen effectively the local electric dipole moments, it was widely believed that the ferroelectric-like distortion cannot occur in metals. Re…

cond-mat.mtrl-sci2026

Switchable Altermagnetism via Spin-Induced Improper Polarization

Zhihao Dai, Michele Reticcioli, Wei Ren +2

Enabling reversible spin-splitting switching in stray-field-free altermagnets is promising for spintronic applications, but currently limited to a narrow class of polar materials.…

cond-mat.mtrl-sci2026

Topological-transition-driven Giant Enhancement of Second-harmonic Generation in Ferroelectric Bismuth Monolayer

Wen-Zheng Chen, Hongjun Xiang, Yusheng Hou

The interplay between band topology and light in condensed materials could unlock intriguing nonlinear optical phenomena, enabling modern photonic technologies such as quantum ligh…

cond-mat.mtrl-sci2019

Magnetoelectricity in Multiferroics: a Theoretical Perspective

Shuai Dong, Hongjun Xiang, Elbio Dagotto

The key physical property of multiferroic materials is the existence of a coupling between magnetism and polarization, i.e. magnetoelectricity. The origin and manifestations of mag…

cond-mat.mtrl-sci2024

Identifying Direct Bandgap Silicon Structures with High-throughput Search and Machine Learning Methods

Rui Wang, Hongyu Yu, Yang Zhong +1

Utilizations of silicon-based luminescent devices are restricted by the indirect-gap nature of diamond silicon. In this study, the high-throughput method is employed to expedite di…

physics.comp-ph2026

Tangent-Plane Evidential Uncertainty in Active Learning for Magnetic Interatomic Potentials

Yang Cheng, Hongyu Yu, Hongjun Xiang

Magnetic interatomic potentials need to account for coupled lattice and spin degrees of freedom, yet constructing reliable training sets remains costly because noncollinear first-p…

cond-mat.mtrl-sci2025

ABACUS: An Electronic Structure Analysis Package for the AI Era

Weiqing Zhou, Daye Zheng, Qianrui Liu +55

ABACUS (Atomic-orbital Based Ab-initio Computation at USTC) is an open-source software for first-principles electronic structure calculations and molecular dynamics simulations. It…

cond-mat.mtrl-sci2020

Tunable spin textures in polar antiferromagnetic hybrid organic inorganic perovskites by electric and magnetic fields

Feng Lou, Teng Gu, Junyi Ji +3

The hybrid organic inorganic perovskites (HOIPs) have attracted much attention for their potential applications as novel optoelectronic devices. Remarkably, the Rashba band splitti…

cond-mat.mtrl-sci2020

Berezinskii-Kosterlitz-Thouless Phase in Two-dimensional Ferroelectrics

Changsong Xu, Yousra Nahas, Sergei Prokhorenko +2

The celebrated Berezinskii-Kosterlitz-Thouless (BKT) phase transition refers to a topological transition characterized, e.g., by the dissociation of vortex-antivortex pairs in two-…

cond-mat.mes-hall2020

Two-dimensional Topological Semimetals Protected by Symmorphic Symmetries

Wei Luo, Junyi Ji, Jinlian Lu +2

Two-dimensional (2D) band crossing semimetals (BCSMs) could be used to build a range of novel nanoscale devices such as superlenses and transistors. We find that symmorphic symmetr…

cond-mat.mtrl-sci2025

Design and theory of switchable linear magnetoelectricity by ferroelectricity in Type-I multiferroics

Hui-Min Zhang, Cheng-Ao Ji, Tong Zhu +5

We present a comprehensive theoretical investigation of magnetoelectric (ME) coupling mechanisms in 19 altermagnetic and 4 ferrimagnetic Type-I multiferroics using electronic band…

cond-mat.mtrl-sci2020

Linear versus nonlinear electro-optic effects in materials

Zhijun Jiang, Charles Paillard, Hongjun Xiang +1

Two schemes are proposed to compute the nonlinear electro-optic (EO) tensor for the first time. In the first scheme, we compute the linear EO tensor of the structure under a finite…

cond-mat.mtrl-sci2025

A Universal Spin-Orbit-Coupled Hamiltonian Model for Accelerated Quantum Material Discovery

Yang Zhong, Rui Wang, Xingao Gong +1

The accurate modeling of spin-orbit coupling (SOC) effects in diverse complex systems remains a significant challenge due to the high computational demands of density functional th…

physics.comp-ph2025

Efficient construction of effective Hamiltonians with a hybrid machine learning method

Yang Cheng, Binhua Zhang, Xueyang Li +3

The effective Hamiltonian method is a powerful tool for simulating large-scale systems across a wide range of temperatures. However, previous methods for constructing effective Ham…

cond-mat.str-el2022

Electronically phase separated nano-network in antiferromagnetic insulating LaMnO3/PrMnO3/CaMnO3 tricolor superlattice

Qiang Li, Tian Miao, Huimin Zhang +15

Strongly correlated materials often exhibit an electronic phase separation (EPS) phenomena whose domain pattern is random in nature. The ability to control the spatial arrangement…

cond-mat.mtrl-sci2018

Interplay between Kitaev interaction and single ion anisotropy in ferromagnetic CrI and CrGeTe monolayers

Changsong Xu, Junsheng Feng, Hongjun Xiang +1

Magnetic anisotropy is crucially important for the stabilization of two-dimensional (2D) magnetism, which is rare in nature but highly desirable in spintronics and for advancing fu…

physics.comp-ph2024

Efficient prediction of potential energy surface and physical properties with Kolmogorov-Arnold Networks

Rui Wang, Hongyu Yu, Yang Zhong +1

The application of machine learning methodologies for predicting properties within materials science has garnered significant attention. Among recent advancements, Kolmogorov-Arnol…

cond-mat.mtrl-sci2022

Two-Dimensional Organic-Inorganic Room-Temperature Multiferroic

Yali Yang, Junyi Ji, Junsheng Feng +3

Organic-inorganic multiferroics are promising for the next generation of electronic devices. To date, dozens of organic-inorganic multiferroics have been reported; however, most of…

cond-mat.mtrl-sci2022

Light-induced Magnetic Phase Transition in van der Waals Antiferromagnets

Jiabin Chen, Yang Li, Hongyu Yu +4

Based on a simple tight-binding model, we propose a general theory of light-induced magnetic phase transition (MPT) in antiferromagnets based on the general conclusion that the ban…

cond-mat.mtrl-sci2019

Magnetic Skyrmion State in Janus Monolayers of Chromium Trihalides Cr(I,X)3

Changsong Xu, Junsheng Feng, Hongjun Xiang +1

Magnetic skyrmions are nano-scale spin structures that are promising for ultra-dense memory and logic devices. Recent progresses in two-dimensional magnets encourage the idea to re…

cond-mat.supr-con2014

Antiferromagnetic ground state with pair-checkboard order in FeSe

Hai-Yuan Cao, Shiyou Chen, Hongjun Xiang +1

Monolayer FeSe thin film grown on SrTiO_{3}(001) (STO) shows the sign of T_{c}> 77 K, which is higher than the T_{c}-record of 56 K for the bulk FeAs-based superconductors. However…

cond-mat.mtrl-sci2022

Computational studies on magnetism and ferroelectricity

Ke Xu, Junsheng Feng, Hongjun Xiang

Magnetics, ferroelectrics and multiferroics have attracted great attentions because they are not only extremely important for investigating fundamental physics, but also have impor…

cond-mat.mtrl-sci2024

General time-reversal equivariant neural network potential for magnetic materials

Hongyu Yu, Boyu Liu, Yang Zhong +5

This study introduces time-reversal E(3)-equivariant neural network and SpinGNN++ framework for constructing a comprehensive interatomic potential for magnetic systems, encompassin…

cond-mat.mtrl-sci2024

Intrinsic breakdown strength: theoretical derivation and first-principles calculations

Shixu Liu, Hongjun Xiang, Xin-Gao Gong +1

Intrinsic breakdown strength (F_bd), as the theoretical upper limit of electric field strength that a material can sustain, plays important roles in determining dielectric and safe…

physics.comp-ph2023

Transferable Machine Learning Approach for Predicting Electronic Structures of Charged Defects

Yuxing Ma, Yang Zhong, Yu Hongyu +2

The study of the electronic properties of charged defects is crucial for our understanding of various electrical properties of materials. However, the high computational cost of de…

cond-mat.mtrl-sci2025

Symmetry Analysis of Magnetoelectric Coupling Effect in All Point Groups

Xinhai Tu, Di Wang, Hanjing Zhou +4

Symmetry analysis provides crucial insights into the magnetoelectric coupling effect in type-II multiferroics. In this Letter, we comprehensively investigate couplings between elec…

cond-mat.mtrl-sci2017

Two-Dimensional Hyperferroelectric Metals: a Different Route to Ferromagnetic-Ferroelectric Multiferroics

Wei Luo, Ke Xu, Hongjun Xiang

Recently, two-dimensional (2D) multiferroics have attracted numerous attention due to their fascinating properties and promising applications. Although the ferroelectric (FE)-ferro…

cond-mat.mtrl-sci2026

Multiferroic VHfO with Strain-Tunable Magnetism

Qisheng Yu, Tianyuan Zhu, Boyu Liu +2

The coexistence of ferroelectricity and magnetism in a single-phase oxide is rare because the electronic requirements for these two orders are often incompatible. Here, using first…

cond-mat.mtrl-sci2023

Evaluating Gilbert Damping in Magnetic Insulators from First Principles

Liangliang Hong, Changsong Xu, Hongjun Xiang

Magnetic damping has a significant impact on the performance of various magnetic and spintronic devices, making it a long-standing focus of research. The strength of magnetic dampi…

cond-mat.mtrl-sci2022

Convert widespread paraelectric perovskite to ferroelectrics

Hongwei Wang, Fujie Tang, Massimiliano Stengel +4

While nature provides a plethora of perovskite materials, only a few exhibits large ferroelectricity and possibly multiferroicity. The majority of perovskite materials have the non…

cond-mat.mtrl-sci2025

General First-Principles Approach to Crystals in Finite Magnetic Fields

Chengye Lü, Yingwei Chen, Yuzhi Wang +5

We introduce a general first-principles methodology for computing electronic structure in a finite uniform magnetic field which allows for an arbitrary rational magnetic flux and n…

cond-mat.str-el2012

Spin reorientation in the square-lattice antiferromagnets RMnAsO (R = Ce, Nd): Density functional analysis of the spin exchange interactions between the rare-earth and transition-metal ions

Changhoon Lee, Erjun Kan, Hongjun Xiang +4

The spin reorientation (SR) phenomenon of the square-lattice antiferromagnets RMnAsO (R = Ce, Nd) was investigated by analyzing the spin exchange interactions between the rare-eart…

cond-mat.mtrl-sci2009

Magnetic structure and ferroelectric polarization of MnWO4 investigated by density functional calculations and classical spin analysis

Chuan Tian, Changhoon Lee, Hongjun Xiang +4

The ordered magnetic states of MnWO4 at low temperatures were examined by evaluating the spin exchange interactions between the Mn2+ ions of MnWO4 on the basis of first principles…

cond-mat.mtrl-sci2021

Ultrahigh energy storage density in epitaxial AlN/ScN superlattices

Zhijun Jiang, Bin Xu, Hongjun Xiang +1

Dielectric and antiferroelectric materials are particularly promising for high-power energy-storage applications. However, relatively low energy density greatly hinders their usage…

cond-mat.mtrl-sci2019

Band splitting with vanishing spin polarizations in noncentrosymmetric crystals

Kai Liu, Wei Luo, Junyi Ji +3

The Dresselhaus and Rashba effects are well-known phenomena in solid-state physics, in which spin-orbit coupling (SOC) splits spin-up and spin-down energy bands of nonmagnetic non-…

cond-mat.mtrl-sci2018

Intrinsic Origin of Enhancement of Ferroelectricity in SnTe Ultrathin Films

Kai Liu, Jinlian Lu, Silvia Picozzi +2

Previous studies showed that, as ferroelectric films become thinner, their Curie temperature (Tc) and polarization below Tc both typically decrease. In contrast, a recent experimen…

cond-mat.str-el2014

Most spin-1/2 transition-metal ions do have single ion anisotropy

Jia Liu, Hyun-Joo Koo, Hongjun Xiang +2

The cause for the preferred spin orientation in magnetic systems containing spin-1/2 transition-metal ions was explored by studying the origin of the easy-plane anisotropy of the s…

cond-mat.mtrl-sci2015

Room Temperature Quantum Spin Hall Insulators with a Buckled Square Lattice

Wei Luo, Hongjun Xiang

Two-dimensional (2D) topological insulators (TIs), also known as quantum spin Hall (QSH) insulators, are excellent candidates for coherent spin transport related applications becau…

cond-mat.mtrl-sci2023

Moiré Magnetic Exchange Interactions in Twisted Magnets

Baishun Yang, Yang Li, Hongjun Xiang +2

Besides moiré superlattice, twisting can also generate moiré magnetic exchange interactions (MMEIs) in van der Waals magnets. However, due to the extreme complexity and twist-ang…

physics.comp-ph2023

Spin-Dependent Graph Neural Network Potential for Magnetic Materials

Hongyu Yu, Yang Zhong, Liangliang Hong +4

The development of machine learning interatomic potentials has immensely contributed to the accuracy of simulations of molecules and crystals. However, creating interatomic potenti…

cond-mat.mtrl-sci2023

Triple-Well Charge Density Wave Transition Driven by Cooperation between Peierls-like Effect and Antiferromagnetic Order in FeGe

Binhua Zhang, Junyi Ji, Changsong Xu +1

Kagome materials provide a promising platform to explore intriguing correlated phenomena including magnetism, charge density wave (CDW), and nontrivial band topology. Recently, a C…

cond-mat.mtrl-sci2022

Flat-band based ferromagnetic semiconducting state in the graphitic CN monolayer

Chaoyu He, Yujie Liao, Tao Ouyang +3

A new set of lattice-models based on the hexagonal super-cells of the well-known honeycomb lattice with single-hole defect (HL-D-1/2N) are proposed to real…

cond-mat.str-el2016

Spin orientations of the spin-half Ir4+ ions in Sr3NiIrO6, Sr2IrO4 and Na2IrO3: Density functional, perturbation theory and Madelung potential analyses

Elijah E. Gordon, Hongjun Xiang, Jürgen Köhler +1

The spins of the low-spin Ir4+ (S = 1/2, d5) ions at the octahedral sites of the oxides Sr3NiIrO6, Sr2IrO4 and Na2IrO3 exhibit preferred orientations with respect to their IrO6 oct…

cond-mat.mtrl-sci2018

Discovery of Intrinsic Ferromagnetic Ferroelectricity in Transition Metal Halides Monolayer

Chengxi Huang, Yongping Du, Haiping Wu +3

The realization of multiferroics in nanostructures, combined with a large electric dipole and ferromagnetic ordering, could lead to new applications, such as high-density multi-sta…

cond-mat.mtrl-sci2015

Intrinsic Instability of the Hybrid Halide Perovskite Semiconductor CH3NH3PbI3

Yue-Yu Zhang, Shiyou Chen, Peng Xu +4

The organic-inorganic hybrid perovskite CH3NH3PbI3 has attracted significant interest for its high performance in converting solar light into electrical power with an efficiency ex…

cond-mat.supr-con2024

Emergent spin-charge-orbital order in superconductor LaNiO

Binhua Zhang, Changsong Xu, Hongjun Xiang

The bilayer nickelate LaNiO (LNO) exhibits a remarkably high-temperature superconductivity of approximately 80 K under pressure, sparking considerable attentions. Howev…

cond-mat.mes-hall2015

Structural Evolution and Optoelectronic Applications of Multilayer Silicene

Zhi-Xin Guo, Yue-Yu Zhang, Hongjun Xiang +2

Despite the recent progress on two-dimensional multilayer materials (2DMM) with weak interlayer interactions, the investigation on 2DMM with strong interlayer interactions is far f…

cond-mat.mtrl-sci2025

Linear Scaling Calculation of Atomic Forces and Energies with Machine Learning Local Density Matrix

Zaizhou Xin, Yang Zhong, Xingao Gong +1

Accurately calculating energies and atomic forces with linear-scaling methods is a crucial approach to accelerating and improving molecular dynamics simulations. In this paper, we…

cond-mat.str-el2023

Realistic Spin Model for Multiferroic NiI

Xuanyi Li, Changsong Xu, Boyu Liu +3

A realistic first-principle-based spin Hamiltonian is constructed for the type-II multiferroic NiI, using a symmetry-adapted cluster expansion method. Besides single ion anisot…

cond-mat.mtrl-sci2013

What Is Armchair-Zigzag Grain Boundary Structure in Graphene?

Zheng-Lu Li, Hai-Yuan Cao, Ji-Hui Yang +4

We have developed a new global optimization method for the determination of interface structure based on the differential evolution algorithm. Here, we applied this method to searc…

cond-mat.mtrl-sci2026

A Fully Ab-Initio Spin-Lattice Dynamics Framework for Magnetic Materials

Xianxi Zhang, Hongyu Yu, Liangliang Hong +1

Coupled spin-lattice dynamics (SLD) underlie a wide range of magnetic phenomena, yet a unified first-principles framework that propagates both degrees of freedom without empirical…

cond-mat.mtrl-sci2026

General Theory for Ferroelectric Control of Spin Splitting in Collinear Antiferromagnets

Zhihao Dai, Yingwei Chen, Junyi Ji +2

Electrical control of magnetism is crucial for next-generation spintronics. While recent advances have demonstrated ferroelectric switching in two-dimensional magnets, a general de…

physics.comp-ph2019

Ferroelectricity with Asymmetric Hysteresis in Metallic LiOsO3 Ultrathin Films

Jinlian Lu, Gong Chen, Wei Luo +3

Bulk LiOsO3 was experimentally identified as a "ferroelectric" metal where polar distortions coexist with metallicity [Shi et al., Nature Materials 12, 1024 (2013)]. It is generall…

cond-mat.mes-hall2012

Unexpected large thermal rectification in asymmetric grain boundary of graphene

Hai-Yuan Cao, Hongjun Xiang, Xin-Gao Gong

We have investigated the lattice thermal transport across the asymmetric tilt grain boundary between armchair and zigzag graphene by nonequilibrium molecular dynamics (NEMD). We ha…

cond-mat.mtrl-sci2013

Prediction of (TiO2)x(Cu2O)y Alloys for Photoelectrochemical Water Splitting

Heng-Rui Liu, Ji-Hui Yang, Yue-Yu Zhang +5

The formation of (TiO2)x(Cu2O)y solid-solutions are investigated using a global optimization evolutionary algorithm. First-principles calculations based on density functional theor…

cond-mat.mtrl-sci2025

Moiré-Induced Magnetoelectricity in Twisted Bilayer NiI2

Haiyan Zhu, Hongyu Yu, Weiqin Zhu +3

Twisted magnetic van der Waals (vdW) materials offer a promising route for multiferroic engineering, yet modeling large-scale moiré superlattices remains challenging. Leveraging a…

cond-mat.str-el2011

Density functional theory analysis of the interplay between Jahn-Teller instability, uniaxial magnetism, spin arrangement, metal-metal interaction and spin-orbit coupling in Ca3CoMO6 (M = Co, Rh, Ir)

Yuemei Zhang, Erjun Kan, Hongjun Xiang +2

In the isostructural oxides Ca3CoMO6 (M = Co, Rh, Ir), the CoMO6 chains made up of face-sharing CoO6 trigonal prisms and MO6 octahedra are separated by Ca atoms. We analyzed the ma…

cond-mat.mtrl-sci2012

Ordered Semiconducting Nitrogen-Graphene Alloys

Hongjun Xiang, Bing Huang, Zhenyu Li +3

The interaction between substitutional nitrogen atoms in graphene is studied by performing first principles calculations. The nearest neighbor interaction between nitrogen dopants…

cond-mat.str-el2024

Effects of Kitaev Interaction on Magnetic Orders and Anisotropy

Lianchuang Li, Binhua Zhang, Zefeng Chen +2

We systematically investigate the effects of Kitaev interaction on magnetic orders and anisotropy in both triangular and honeycomb lattices. Our study highlights the critical role…

cond-mat.mtrl-sci2012

Si3AlP: A new promising material for solar cell absorber

Ji-Hui Yang, Yingteng Zhai, Hengrui Liu +3

First-principles calculations are performed to study the structural and optoelectronic properties of the newly synthesized nonisovalent and lattice-matched (Si2)0.6(AlP)0.4 alloy […

cond-mat.mtrl-sci2026

Efficient E(3)-equivariant framework for universal charge density prediction

Xiwen Li, Zaizhou Xin, Hongyu Yu +3

Electronic structure is ubiquitously obtained via density functional theory (DFT), where the charge density plays a central role. This work presents EdenGNN (Equivariant Density Gr…

cond-mat.mtrl-sci2022

Edge-based Tensor prediction via graph neural networks

Yang Zhong, Hongyu Yu, Xingao Gong +1

Message-passing neural networks (MPNN) have shown extremely high efficiency and accuracy in predicting the physical properties of molecules and crystals, and are expected to become…

cond-mat.mtrl-sci2009

"Narrow" Graphene Nanoribbons Made Easier by Partial Hydrogenation

Hongjun Xiang, Erjun Kan, Su-Huai Wei +2

It is a challenge to synthesize graphene nanoribbons (GNRs) with narrow widths and smooth edges in large scale. Our first principles study on the hydrogenation of GNRs shows that t…

cond-mat.str-el2013

Unveiling the Origin of the Insulating Ferromagnetism in LaMnO3 Thin Film

Yusheng Hou, Hongjun Xiang, Xingao Gong

By combining genetic algorithm optimizations, first-principles calculations and the double-exchange model studies, we have unveiled that the exotic insulating ferromagnetism in LaM…

cond-mat.mtrl-sci2024

Role of Domain Walls on Imprint and Fatigue in HfO2-Based Ferroelectrics

Muting Xie, Hongyu Yu, Binhua Zhang +2

HfO2-based ferroelectric materials are promising for the next generation of memory devices, attracting significant attention. However, their potential applications are significantl…

cond-mat.mtrl-sci2011

Predicting Two-Dimensional Boron-Carbon Compounds by the Global Optimization Method

Xinyu Luo, Jihui Yang, Hanyu Liu +6

We adopt a global optimization method to predict two-dimensional (2D) nanostructures through the particle-swarm optimization (PSO) algorithm. By performing PSO simulations, we pred…

cond-mat.mes-hall2011

Controlling doping in graphene through a SiC substrate: A first-principles study

Bing Huang, Hongjun Xiang, Su-Huai Wei

Controlling the type and density of charge carriers by doping is the key step for developing graphene electronics. However, direct doping of graphene is rather a challenge. Based o…

cond-mat.mtrl-sci2025

Hidden integer quantum ferroelectricity in chiral Tellurium

Wei Luo, Sihan Deng, Muting Xie +3

Ferroelectricity is a cornerstone of functional materials research, enabling diverse technologies from non-volatile memory to optoelectronics. Recently, type-I integer quantum ferr…

cond-mat.mtrl-sci2024

Switchable Ferroelectricity in Subnano Silicon Thin Films

Hongyu Yu, Shihan deng, Muting Xie +5

Recent advancements underscore the critical need to develop ferroelectric materials compatible with silicon. We systematically explore possible ferroelectric silicon quantum films…

cond-mat.mtrl-sci2024

Atomistic Origin of Diverse Charge Density Wave States in CsVSb

Binhua Zhang, Hengxin Tan, Binghai Yan +2

Kagome metals AV3Sb5 (A=K,Rb,or Cs) exhibit intriguing charge density wave (CDW) instabilities, which interplay with superconductivity and band topology. However, despite firm obse…

cond-mat.mtrl-sci2025

Generation of Pure Spin Current with Insulating Antiferromagnetic Materials

Yingwei Chen, Junyi Ji, Liangliang Hong +2

The generation of pure spin currents is critical for low-dissipation spintronic applications, yet existing methods relying on spin-orbit coupling or ferromagnetic interfaces face c…

cond-mat.mtrl-sci2024

Strain-induced bent domains in ferroelectric nitrides

Zhijun Jiang, Zhenlong Zhang, Charles Paillard +2

Ferroelectric nitrides have emerged as promising semiconductor materials for modern electronics. However, their domain structures and associated properties are basically unknown, d…

cond-mat.mtrl-sci2021

Complex Spin Hamiltonian Represented by Artificial Neural Network

Hongyu Yu, Changsong Xu, Feng Lou +4

The effective spin Hamiltonian method is widely adopted to simulate and understand the behavior of magnetism. However, the magnetic interactions of some systems, such as itinerant…

cond-mat.mtrl-sci2024

Deterministic and Efficient Switching of Sliding Ferroelectrics

Shihan Deng, Hongyu Yu, Junyi Ji +2

Recent studies highlight the scientific importance and broad application prospects of two-dimensional (2D) sliding ferroelectrics, which prevalently exhibit vertical polarization w…

cond-mat.mtrl-sci2025

Recent Advances in Unconventional Ferroelectrics and Multiferroics

Hongyu Yu, Junyi Ji, Wei Luo +2

Emerging ferroic materials may pave a new way to next-generation nanoelectronic and spintronic devices due to their interesting physical properties. Here, we systematically review…

cs.CL2026

Rethinking Scientific Discovery in the Agentic Era

Yining Zheng, Yuxin Wang, Jiahao Lu +27

Artificial intelligence has advanced scientific discovery, but most AI4Science systems remain fragmented tools that rely on humans to coordinate problem formulation, literature gro…

cond-mat.mtrl-sci2023

Towards Ultimate Memory with Single-Molecule Multiferroics

Yali Yang, Liangliang Hong, Laurent Bellaiche +1

The demand for high-density storage is urgent in the current era of data explosion. Recently, several single-molecule (-atom) magnets/ferroelectrics have been reported to be promis…

cond-mat.str-el2016

Magnetic Properties from the Viewpoints of Electronic Hamiltonian: Spin Exchange Parameters, Spin Orientation and Spin-Half Misconception

Myung-Hwan Whangbo, Hongjun Xiang

In this chapter we review the quantitative and qualitative aspects of describing the properties of magnetic solids on the basis of electronic Hamiltonian. We show that a spin Hamil…

cond-mat.mtrl-sci2016

Two Dimensional Phosphorus Oxides as Energy and Information Materials

Wei Luo, Hongjun Xiang

Two-dimensional (2D) black phosphorus (i.e., phosphorene) has become a rising star in electronics. Recently, 2D phosphorus oxides with higher stability have been synthesized. In th…

physics.comp-ph2023

Transferable E(3) equivariant parameterization for Hamiltonian of molecules and solids

Yang Zhong, Hongyu Yu, Mao Su +2

Using the message-passing mechanism in machine learning (ML) instead of self-consistent iterations to directly build the mapping from structures to electronic Hamiltonian matrices…

cond-mat.mtrl-sci2026

Unified definition of ferroelectricity

Wei Luo, Shihan Deng, Hongjun Xiang +1

Recent theoretical and experimental advances in quantum ferroelectrics suggest that ferroelectricity can also emerge in non-polar space group, highlighting the limitations of conve…

physics.comp-ph2026

Physics-Informed Long-Range Coulomb Correction for Machine-learning Hamiltonians

Yang Zhong, Xiwen Li, Xingao Gong +1

Machine-learning electronic Hamiltonians achieve orders-of-magnitude speedups over density-functional theory, yet current models omit long-range Coulomb interactions that govern ph…

cond-mat.mtrl-sci2024

Origin of zigzag antiferromagnetic orders in XPS3 (X= Fe, Ni) monolayers

Ping Li, Xueyang Li, Junsheng Feng +3

Recently, two monolayer magnetic materials, i.e., FePS3 and NiPS3, have been successfully fabricated. Despite that they have the same atomic structure, the two monolayers exhibit d…

cond-mat.mes-hall2011

Layer and size dependence of thermal conductivity in multilayer graphene nanoribbons

Hai-Yuan Cao, Zhi-Xin Guo, Hongjun Xiang +1

Using non-equilibrium molecular dynamics method(NEMD), we have found that the thermal conductivity of multilayer graphene nanoribbons monotonously decreases with the increase of th…

cond-mat.str-el2024

Strength of Kitaev Interaction in NaCoSbO and NaNiBiO

Zefeng Chen, Binhua Zhang, Weiqin Zhu +5

Kitaev spin liquid is proposed to be promisingly realized in low spin-orbit coupling systems, represented by NaCoSbO and NaNiBiO. However, the existenc…

cond-mat.mtrl-sci2014

Understanding the Magnetic Puzzles of Double Perovskites A2FeOsO6 (A=Ca, Sr)

Yusheng Hou, Hongjun Xiang, Xingao Gong

Double perovskites Sr2FeOsO6 and Ca2FeOsO6 show puzzling magnetic properties, the former a low-temperature antiferromagnet while the later a high-temperature insulating ferrimagnet…

cond-mat.mtrl-sci2026

Machine learning Hamiltonian enables scalable and accurate defect calculations: The case of oxygen vacancies in amorphous SiO

Zhenxing Dai, Zhong Yang, Mingjue Ni +4

Point defects critically influence the properties of materials and devices, yet density functional theory (DFT) remains computationally demanding for defect supercell calculations.…

cond-mat.mtrl-sci2022

Capturing long-range interaction with reciprocal space neural network

Hongyu Yu, Liangliang Hong, Shiyou Chen +2

Machine Learning (ML) interatomic models and potentials have been widely employed in simulations of materials. Long-range interactions often dominate in some ionic systems whose dy…

cond-mat.mtrl-sci2021

Pressure-induced charge orders and their coupling to magnetism in hexagonal multiferroic LuFe2O4

Fengliang Liu, Yiqing Hao, Jinyang Ni +13

Hexagonal LuFe2O4 is a promising charge-order (CO) driven multiferroic material with high charge and spin ordering temperatures. The coexisting charge and spin orders on Fe3+/Fe2+…

physics.comp-ph2024

Universal Machine Learning Kohn-Sham Hamiltonian for Materials

Yang Zhong, Hongyu Yu, Jihui Yang +3

While density functional theory (DFT) serves as a prevalent computational approach in electronic structure calculations, its computational demands and scalability limitations persi…

cond-mat.mes-hall2026

Microscopic evidence of spin-driven multiferroicity and topological spin textures in monolayer NiI2

Haitao Wang, Tianxing Jiang, Weiyi Pan +12

In type II multiferroics, noncollinear spin textures are expected to induce electric polarization directly, leading to strong magnetoelectric coupling. Realizing such spin driven m…

cond-mat.mtrl-sci2015

Prediction of Silicon-Based Layered Structures for Optoelectronic Applications

Wei Luo, Yanming Ma, Xingao Gong +1

A method based on the particle swarm optimization (PSO) algorithm is presented to design quasi-two-dimensional (Q2D) materials. With this development, various single-layer and bi-l…

cond-mat.supr-con2013

The interfacial effects on the spin density wave in FeSe/SrTiO3 thin film

Hai-Yuan Cao, Shiyong Tan, Hongjun Xiang +2

Recently, the signs of both superconducting transition temperature (Tc) beyond 60 K and spin density wave (SDW) have been observed in FeSe thin film on SrTiO3 (STO) substrate, whic…

cond-mat.mtrl-sci2011

First Principles Study of Adsorption of on Al Surface with Hybrid Functionals

Heng-Rui Liu, Hongjun Xiang, X. G. Gong

Adsorption of molecule on Al surface has been a long standing puzzle for the first principles calculation. We have studied the adsorption of molecule on the Al(111)…

cond-mat.mtrl-sci2020

Possible Kitaev Quantum Spin Liquid State in 2D Materials with S=3/2

Changsong Xu, Junsheng Feng, Mitsuaki Kawamura +6

Quantum spin liquids (QSLs) form an extremely unusual magnetic state in which the spins are highly correlated and fluctuate coherently down to the lowest temperatures, but without…

cond-mat.mtrl-sci2023

Accelerating the electronic-structure calculation of magnetic systems by equivariant neural networks

Yang Zhong, Binhua Zhang, Hongyu Yu +2

Complex spin-spin interactions in magnets can often lead to magnetic superlattices with complex local magnetic arrangements, and many of the magnetic superlattices have been found…

cond-mat.mtrl-sci2025

Piezomagnetism-driven magnetoelectric coupling in altermagnetic multiferroic K3Cr2F7

Ying Zhou, Hui-Min Zhang, Cheng-Ao Ji +4

Ferroelectric control of altermagnetism in momentum space has been studied widely, while the control of magnetism in real space of altermagnets are still rare. We present a design…

physics.comp-ph2024

Advancing Nonadiabatic Molecular Dynamics Simulations for Solids: Achieving Supreme Accuracy and Efficiency with Machine Learning

Changwei Zhang, Yang Zhong, Zhi-Guo Tao +7

Non-adiabatic molecular dynamics (NAMD) simulations have become an indispensable tool for investigating excited-state dynamics in solids. In this work, we propose a general framewo…