papers

Publications (100)

cond-mat.mes-hall2026

Discovery of a symmetry-driven electronic cascade in a -wave altermagnet

Zhouyi Yin, Zheng Shi, Shuxuan Zhang +9

The paper reports the discovery of a symmetry-driven cascade of finite‑momentum charge‑density‑wave orders, including a primary density wave, a nematic component, and an off‑axis m…

#altermagnetism#charge density wave#nematic order#symmetry breaking
cond-mat.mtrl-sci2024

Observation of non-volatile anomalous Nernst effect in altermagnet with collinear Néel vector

Lei Han, Xizhi Fu, Wenqing He +11

Anomalous Nernst effect (ANE), a widely investigated transverse thermoelectric effect that converts waste heat into electrical energy with remarkable flexibility and integration ca…

physics.app-ph2019

In-Plane Ferroelectric Tunnel Junction

Huitao Shen, Junwei Liu, Kai Chang +1

The ferroelectric material is an important platform to realize non-volatile memories. So far, existing ferroelectric memory devices utilize out-of-plane polarization in ferroelectr…

cond-mat.mes-hall2026

Ising Dirac fermions across a topological phase transition

Aoqian Zhang, Yaqi Ma, Yifei Jin +14

Dirac fermions have attracted significant interest due to their relativistic dispersions and close connections to topological physics, yet they are generally expected to be gapped…

cond-mat.mes-hall2026

Observation of a Mott quantum spin Hall insulator in twisted WSe2

Yifei Jin, Yaqi Ma, Aoqian Zhang +9

Quantum spin Hall (QSH) insulators and Mott insulators are conventionally regarded as distinct insulating phases, arising from band topology and strong Coulomb interactions, respec…

cond-mat.mes-hall2026

Distinguishing and Separating In-Plane Hall Responses

Soumya Sankar, Xingkai Cheng, Junwei Liu +1

Electric Hall effects generated by an in-plane magnetic field have recently gained attention owing to their intrinsic origin in topological electronic states and potential applicat…

cond-mat.mtrl-sci2024

Ubiquitous van der Waals altermagnetism with sliding/moire ferroelectricity

Yuxuan Sheng, Junwei Liu, Jia Zhang +1

According to the recent studies on sliding/moire ferroelectricity, most 2D van der Waals nonferroelectric monolayers can become ferroelectric via multilayer stacking. In this paper…

cond-mat.mtrl-sci2016

Van der Waals Stacking Induced Topological Phase Transition in Layered Ternary Transition Metal Chalcogenides

Junwei Liu, Hua Wang, Chen Fang +2

Novel materials with nontrivial electronic and photonic band topology are crucial for realizing novel devices with low power consumption and heat dissipation, and quantum computing…

cond-mat.mes-hall2014

Quantum Spin Hall Effect and Topological Field Effect Transistor in Two-Dimensional Transition Metal Dichalcogenides

Xiaofeng Qian, Junwei Liu, Liang Fu +1

We report a new class of large-gap quantum spin Hall insulators in two-dimensional transition metal dichalcogenides, namely, MX with M=(Mo, W) and X=(S, Se, and Te), whose topo…

cond-mat.other2026

A Unified Theory of Deterministic Magnetic Switching

Xizhi Fu, Lei Han, Xi Liu +2

The deterministic switching of magnetic order parameters is critically important, as it forms the fundamental basis for manipulating information states in magnetic memory devices.…

cond-mat.str-el2024

Crystal-symmetry-paired spin-valley locking in a layered room-temperature antiferromagnet

Fayuan Zhang, Xingkai Cheng, Zhouyi Yin +19

Recent theoretical efforts predicted a type of unconventional antiferromagnet characterized by the crystal symmetry C (rotation or mirror), which connects antiferromagnetic sublatt…

cond-mat.str-el2016

Self-Learning Monte Carlo Method in Fermion Systems

Junwei Liu, Huitao Shen, Yang Qi +2

We develop the self-learning Monte Carlo (SLMC) method, a general-purpose numerical method recently introduced to simulate many-body systems, for studying interacting fermion syste…

cs.CV2024

SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation

Fangxin Shang, Jie Fu, Yehui Yang +3

Large-scale public datasets with high-quality annotations are rarely available for intelligent medical imaging research, due to data privacy concerns and the cost of annotations. I…

physics.optics2019

All Optical Neural Network with Nonlinear Activation Functions

Ying Zuo, Bohan Li, Yujun Zhao +6

Artificial neural networks (ANNs) have now been widely used for industry applications and also played more important roles in fundamental researches. Although most ANN hardware sys…

cs.RO2026

MinInter: Minimizing Trajectory Interpolation During Data Augmentation for Imitation Learning

Qingyang Wang, Xingang Liu, Changwei Yao +4

Imitation learning enables robots to acquire complex manipulation skills from demonstrations, but its effectiveness is limited by the cost of collecting high-quality data. Trajecto…

cond-mat.mtrl-sci2025

Chemical design of monolayer altermagnets

Runzhang Xu, Yifan Gao, Junwei Liu

The crystal-symmetry-paired spin-momentum locking (CSML) arisen from the intrinsic crystal symmetry connecting different magnetic sublattices in altermagnets enables many exotic sp…

eess.SY2025

Online Full ZVS Optimization for Modular Multi-Active Bridge Converter in MV PET

Haoyu Wang, Junwei Liu, Jialin Zheng +3

Multi-active bridge (MAB) converters, the core of the state-of-the-art medium-voltage power electronic transformers, can flexibly connect multiple DC ports among distributed DC gri…

cond-mat.mtrl-sci2016

Conetronics in 2D Metal-Organic Frameworks: Double Dirac Cones, Magnetic Half Dirac Cones and Quantum Anomalous Hall Effect

Menghao Wu, Zhijun Wang, Junwei Liu +8

Based on recently synthesized Ni3C12S12 class 2D metal-organic frameworks, we predict electronic properties of M3C12S12 and M3C12O12, where M is Zn, Cd, Hg, Be, or Mg with no M orb…

cond-mat.mtrl-sci2013

Weak Topological Insulators in PbTe/SnTe Superlattices

Gang Yang, Junwei Liu, Liang Fu +2

It is desirable to realize topological phases in artificial structures by engineering electronic band structures. In this paper, we investigate superlattice…

cond-mat.mtrl-sci2025

Catalogue of -paired spin-momentum locking in antiferromagnetic systems

Mengli Hu, Xingkai Cheng, Zhenqiao Huang +1

Antiferromagnetic materials (AFMs) have been gaining lots of attentions due to its great potential in spintronics devices and the recently discovered novel spin structure in the mo…

cond-mat.mes-hall2024

All-Electrical Layer-Spintronics in Altermagnetic Bilayer

Rui Peng, Jin Yang, Lin Hu +5

Electrical manipulation of spin-polarized current is highly desirable yet tremendously challenging in developing ultracompact spintronic device technology. Here we propose a scheme…

cond-mat.mtrl-sci2019

Effects of Hexagonal Boron Nitride Encapsulation on the Electronic Structure of Few-layer MoS

Xu Han, Jiangxiazi Lin, Junwei Liu +2

The hexagonal boron nitride (hBN) encapsulation has been widely used in the electronics applications of 2D materials to improve device performance by protecting 2D materials agains…

cs.CL2023

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Zhiqiang Yuan, Junwei Liu, Qiancheng Zi +3

In this work, we evaluate 10 open-source instructed LLMs on four representative code comprehension and generation tasks. We have the following main findings. First, for the zero-sh…

cond-mat.mtrl-sci2012

Topological Crystalline Insulators in the SnTe Material Class

Timothy H. Hsieh, Hsin Lin, Junwei Liu +3

Topological crystalline insulators are new states of matter in which the topological nature of electronic structures arises from crystal symmetries. Here we predict the first mater…

physics.optics2025

Photoswitchable exceptional points derived from bound states in the continuum

Lei Wang, Hang Liu, Junwei Liu +11

Bound states in the continuum (BICs) and exceptional points (EPs), as two distinct physical singularities represented by complex frequencies in non-Hermitian systems, have garnered…

cond-mat.mtrl-sci2014

Experimental observation of Dirac-like surface states and topological phase transition in PbSnTe(111) films

Chenhui Yan, Junwei Liu, Yunyi Zang +12

The surface of a topological crystalline insulator (TCI) carries an even number of Dirac cones protected by crystalline symmetry. We epitaxially grew high quality PbSnT…

cs.AI2025

Can Agents Fix Agent Issues?

Alfin Wijaya Rahardja, Junwei Liu, Weitong Chen +2

LLM-based agent systems are emerging as a new software paradigm and have been widely adopted across diverse domains such as medicine, robotics, and programming. However, maintainin…

cond-mat.supr-con2018

Transport evidence of asymmetric spin-orbit coupling in fewlayer superconducting 1TdMoTe

Jian Cui, Peiling Li, Jiadong Zhou +16

Two-dimensional (2D) transition metal dichalcogenides (TMDCs) MX2 (M=W, Mo, Nb, and X=Te, Se, S) with strong spin-orbit coupling (SOC) possess plenty of novel physics including sup…

cond-mat.mtrl-sci2015

Converting normal insulators into topological insulators via tuning orbital levels

Wu-Jun Shi, Junwei Liu, Yong Xu +3

Tuning the spin-orbit coupling strength via foreign element doping and/or modifying bonding strength via strain engineering are the major routes to convert normal insulators to top…

cs.IR2024

Global Estimation of Building-Integrated Facade and Rooftop Photovoltaic Potential by Integrating 3D Building Footprint and Spatio-Temporal Datasets

Qing Yu, Kechuan Dong, Zhiling Guo +8

This research tackles the challenges of estimating Building-Integrated Photovoltaics (BIPV) potential across various temporal and spatial scales, accounting for different geographi…

cond-mat.mes-hall2025

Room temperature observation of the anomalous in-plane Hall effect in epitaxial thin films of a Weyl ferromagnet

Soumya Sankar, Xingkai Cheng, Tahir Murtaza +7

Topologically nontrivial electronic states can give rise to novel anomalous Hall effects. The potential appearance of these effects at room temperature holds promise for their appl…

cond-mat.str-el2017

Self-Learning Monte Carlo Method: Continuous-Time Algorithm

Yuki Nagai, Huitao Shen, Yang Qi +2

The recently-introduced self-learning Monte Carlo method is a general-purpose numerical method that speeds up Monte Carlo simulations by training an effective model to propose unco…

cond-mat.mes-hall2025

Cryogenic in-memory computing using magnetic topological insulators

Yuting Liu, Albert Lee, Kun Qian +17

Machine learning algorithms have been proven effective for essential quantum computation tasks such as quantum error correction and quantum control. Efficient hardware implementati…

cond-mat.supr-con2024

Large-scale simulations of vortex Majorana zero modes in topological crystalline insulators

Chun Yu Wan, Yujun Zhao, Yaoyi Li +2

Topological crystalline insulators are known to support multiple Majorana zero modes (MZMs) at a single vortex, their hybridization is forbidden by a magnetic mirror symmetry

physics.optics2021

Scalability of all-optical neural networks based on spatial light modulators

Ying Zuo, Zhao Yujun, You-Chiuan Chen +2

Optical implementation of artificial neural networks has been attracting great attention due to its potential in parallel computation at speed of light. Although all-optical deep n…

cs.CL2025

EHR-R1: A Reasoning-Enhanced Foundational Language Model for Electronic Health Record Analysis

Yusheng Liao, Chaoyi Wu, Junwei Liu +12

Electronic Health Records (EHRs) contain rich yet complex information, and their automated analysis is critical for clinical decision-making. Despite recent advances of large langu…

cond-mat.quant-gas2020

Heuristic machinery for thermodynamic studies of SU(N) fermions with neural networks

Entong Zhao, Jeongwon Lee, Chengdong He +4

The power of machine learning (ML) provides the possibility of analyzing experimental measurements with an unprecedented sensitivity. However, it still remains challenging to probe…

cond-mat.str-el2014

Topological Crystalline Insulators and Dirac Octets in Anti-perovskites

Timothy H. Hsieh, Junwei Liu, Liang Fu

We predict a new class of topological crystalline insulators (TCI) in the anti-perovskite material family with the chemical formula ABX. Here the nontrivial topology arises fro…

cond-mat.mtrl-sci2024

Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb

Wenlong Lu, Shiyu Feng, Yuzhi Wang +10

As a special type of collinear antiferromagnetism (AFM), altermagnetism has garnered significant research interest recently. Altermagnets exhibit broken parity-time symmetry and ze…

cond-mat.mes-hall2023

Unconventional ferroelectricity in half-filling states of antiparallel stacking of twisted WSe2

Liheng An, Zishu Zhou, Xuemeng Feng +9

Abstract: We report on emergence of an abnormal electronic polarization in twisted double bilayer WSe2 in antiparallel interface stacking geometry, where local centrosymmetry of at…

cond-mat.mtrl-sci2021

Multifunctional Antiferromagnetic Materials with Giant Piezomagnetism and Noncollinear Spin Current

Hai-Yang Ma, Mengli Hu, Nana Li +4

We propose a new type of spin-valley locking (SVL), named -paired SVL, in antiferromagnetic systems, which directly connects the spin/valley space with the real space,…

cs.CL2025

MedResearcher-R1: Expert-Level Medical Deep Researcher via A Knowledge-Informed Trajectory Synthesis Framework

Ailing Yu, Lan Yao, Jingnan Liu +13

Recent developments in Large Language Model (LLM)-based agents have shown impressive capabilities spanning multiple domains, exemplified by deep research systems that demonstrate s…

cs.CL2025

GAPS: A Clinically Grounded, Automated Benchmark for Evaluating AI Clinicians

Xiuyuan Chen, Tao Sun, Dexin Su +37

Current benchmarks for AI clinician systems, often based on multiple-choice exams or manual rubrics, fail to capture the depth, robustness, and safety required for real-world clini…

cond-mat.str-el2018

Self-learning Monte Carlo with Deep Neural Networks

Huitao Shen, Junwei Liu, Liang Fu

Self-learning Monte Carlo (SLMC) method is a general algorithm to speedup MC simulations. Its efficiency has been demonstrated in various systems by introducing an effective model…

physics.comp-ph2026

Renormalization-Inspired Effective Field Neural Networks for Scalable Modeling of Classical and Quantum Many-Body Systems

Xi Liu, Yujun Zhao, Chun Yu Wan +2

We introduce Effective Field Neural Networks (EFNNs), a new architecture based on continued functions -- mathematical tools used in renormalization to handle divergent perturbative…

cs.CL2026

Evolving Interactive Diagnostic Agents in a Virtual Clinical Environment

Pengcheng Qiu, Chaoyi Wu, Junwei Liu +11

We present a framework for training large language models (LLMs) as diagnostic agents with reinforcement learning, enabling them to manage multi-turn interactive diagnostic process…

cs.CV2024

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Xiaoshuang Huang, Haifeng Huang, Lingdong Shen +4

With the rapid development of multimodal large language models (MLLMs), especially their capabilities in visual chat through refer and ground functionalities, their significance is…

cs.DB2022

Fast Online Hashing with Multi-Label Projection

Wenzhe Jia, Yuan Cao, Junwei Liu +1

Hashing has been widely researched to solve the large-scale approximate nearest neighbor search problem owing to its time and storage superiority. In recent years, a number of onli…

cond-mat.mtrl-sci2025

Ferroelastic Altermagnetism

Rui Peng, Shibo Fang, Pin Ho +3

Synergizing altermagnetism and other ferroic orders, such as ferroelectric switchable altermagnetism [Phys. Rev. Lett. 134, 106801 (2025) and ibid. 106802 (2025)], offers an effect…

cond-mat.mes-hall2019

The pseudo-Landau-level representation of twisted bilayer graphene: band topology and the implications on the correlated insulating phase

Jianpeng Liu, Junwei Liu, Xi Dai

We propose that the electronic structure of twisted bilayer graphene (TBG) can be understood as Dirac fermions coupled with opposite pseudo magnetic fields generated by the moiré…

cond-mat.mtrl-sci2017

Massive Dirac fermions in a ferromagnetic kagome metal

Linda Ye, Mingu Kang, Junwei Liu +10

The kagome lattice is a two-dimensional network of corner-sharing triangles known as a platform for exotic quantum magnetic states. Theoretical work has predicted that the kagome l…

cs.CV2026

PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis

Jiao Xu, Junwei Liu, Jiangwei Lao +9

Recent advances in medical multi-modal models focus on specialized image analysis like dermatology, pathology, or radiology. However, they do not fully capture the complexity of re…

cond-mat.mtrl-sci2024

Observation of Giant Spin Splitting and d-wave Spin Texture in Room Temperature Altermagnet RuO2

Zihan Lin, Dong Chen, Wenlong Lu +9

Recently, a novel magnetic phase called altermagnetism has been proposed, ushering in a third distinct magnetic phase beyond ferromagnetism and antiferromagnetism. It is expected t…

cond-mat.mes-hall2021

Chiral Interface States and Related Quantized Transport in Disordered Chern Insulators

Zhi-Qiang Zhang, Chui-Zhen Chen, Yijia Wu +4

In this Letter, we study an Anderson-localization-induced quantized transport in disordered Chern insulators (CIs). By investigating the disordered CIs with a step potential, we fi…

cond-mat.str-el2018

de Haas-van Alphen effect of correlated Dirac states in kagome metal Fe3Sn2

Linda Ye, Mun K. Chan, Ross D. McDonald +7

The field of topological electronic materials has seen rapid growth in recent years, in particular with the increasing number of weakly interacting systems predicted and observed t…

cs.SE2026

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution

Kai Yu, Zhenhao Zhou, Junhao Zeng +8

Repository-level issue resolution benchmarks have become a standard testbed for evaluating LLM-based agents, yet success is still predominantly measured by test pass rates. In prac…

cs.SE2024

STALL+: Boosting LLM-based Repository-level Code Completion with Static Analysis

Junwei Liu, Yixuan Chen, Mingwei Liu +2

Repository-level code completion is challenging as it involves complicated contexts from multiple files in the repository. To date, researchers have proposed two technical categori…

cs.CL2026

MedDialogRubrics: A Comprehensive Benchmark and Evaluation Framework for Multi-turn Medical Consultations in Large Language Models

Lecheng Gong, Weimin Fang, Ting Yang +9

Medical conversational AI (AI) plays a pivotal role in the development of safer and more effective medical dialogue systems. However, existing benchmarks and evaluation frameworks…

cond-mat.mtrl-sci2026

Observation of spin-valley locked nodal lines in a quasi-2D altermagnet

Quanxin Hu, Xingkai Cheng, Qingchen Duan +19

The interplay among quantum degrees of freedom-spin, orbital and momentum-has emerged as a fertile ground for realizing magnetic quantum states with transformative potential for el…

cs.RO2021

Instantaneous Capture Input for Balancing the Variable Height Inverted Pendulum

Junwei Liu, Hua Chen, Patrick M. Wensing +1

Balancing is a fundamental need for legged robots due to their unstable floating-base nature. Balance control has been thoroughly studied for simple models such as the linear inver…

cond-mat.mes-hall2015

Topological semimetals with Riemann surface states

Chen Fang, Ling Lu, Junwei Liu +1

Riemann surfaces are geometric constructions in complex analysis that may represent multi-valued holomorphic functions using multiple sheets of the complex plane. We show that the…

eess.SY2025

PE-TSFM: Self-Supervised Time-Series Learning for Generalizable Power Converter Health Monitoring under Unseen Conditions

Xinyuan Liao, Xinyue Zhang, Xing Wei +4

Data-driven health monitoring of power converters remains limited by poor generalization to unseen operating conditions. This work addresses this out-of-distribution (OOD) challeng…

cond-mat.str-el2016

Self-Learning Monte Carlo Method

Junwei Liu, Yang Qi, Zi Yang Meng +1

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum many-body systems. One of its bottlenecks is the lack of general and efficient update algori…

cs.CL2023

ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation

Xueying Du, Mingwei Liu, Kaixin Wang +7

In this work, we make the first attempt to evaluate LLMs in a more challenging code generation scenario, i.e. class-level code generation. We first manually construct the first cla…

cond-mat.mtrl-sci2015

Crystal Field Effect Induced Topological Crystalline Insulators In Monolayer IV-VI Semiconductors

Junwei Liu, Xiaofeng Qian, Liang Fu

Two-dimensional (2D) topological crystalline insulators (TCIs) were recently predicted in thin films of the SnTe class of IV-VI semiconductors, which can host metallic edge states…

cond-mat.mtrl-sci2021

Realistic tight-binding model for monolayer transition metal dichalcogenides in 1T' structure

Mengli Hu, Guofu Ma, Chun Yu Wan +1

Monolayer transition metal dichalcogenides ( = Mo,W and = Te, Se, S) in 1T' structure were predicted to be quantum spin Hall insulators based on first-principles calc…

cond-mat.mtrl-sci2020

Strain Tunable Semimetal-Topological-Insulator Transition in Monolayer 1T'-WTe2

Chenxiao Zhao, Mengli Hu, Jin Qin +8

A quantum spin hall insulator(QSHI) is manifested by its conducting edge channels that originate from the nontrivial topology of the insulating bulk states. Monolayer 1T'-WTe2 exhi…

cond-mat.mtrl-sci2015

Electrically Tunable Quantum Spin Hall State in Topological Crystalline Insulator Thin films

Junwei Liu, Liang Fu

Based on a combination of theory, band topology analysis and electronic structure calculations, we predict the (111) thin films of the SnTe class of three-dimensional (…

eess.IV2021

Robust Retinal Vessel Segmentation from a Data Augmentation Perspective

Xu Sun, Huihui Fang, Yehui Yang +4

Retinal vessel segmentation is a fundamental step in screening, diagnosis, and treatment of various cardiovascular and ophthalmic diseases. Robustness is one of the most critical r…

cond-mat.mtrl-sci2024

Electrical 180o switching of Néel vector in spin-splitting antiferromagnet

Lei Han, Xizhi Fu, Rui Peng +17

Antiferromagnetic spintronics have attracted wide attention due to its great potential in constructing ultra-dense and ultra-fast antiferromagnetic memory that suits modern high-pe…

cond-mat.mtrl-sci2021

Ferromagnetic helical nodal line and Kane-Mele spin-orbit coupling in kagome metal Fe3Sn2

Shiang Fang, Linda Ye, Madhav Prasad Ghimire +8

The two-dimensional kagome lattice hosts Dirac fermions at its Brillouin zone corners K and K', analogous to the honeycomb lattice. In the density functional theory electronic stru…

cs.AI2025

Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO

Haoyang Hong, Jiajun Yin, Yuan Wang +14

Multi-agent systems perform well on general reasoning tasks. However, the lack of training in specialized areas hinders their accuracy. Current training methods train a unified lar…

cond-mat.mtrl-sci2026

Direct observation of quadruple spin-texture locking in a 2D d-wave altermagnet

Dan Mu, Bei Jiang, Qingchen Duan +14

Altermagnets combine vanishing net magnetization with nonrelativistic, momentum-dependent spin splitting, offering a new paradigm for spintronics. Spin-crystal symmetry coupling, n…

cond-mat.mtrl-sci2013

Surface States of Topological Crystalline Insulators in IV-VI Semiconductors

Junwei Liu, Wenhui Duan, Liang Fu

Topological crystalline insulators (TCI) are new topological phases of matter protected by crystal symmetry of solids. Recently, the first realization of TCI has been predicted and…

cond-mat.mtrl-sci2025

Tunable altermagnetism via inter-chain engineering in parallelassembled atomic chains

Deping Guo, Canbo Zong, Weihan Zhang +3

Altermagnetism has recently drawn considerable attention in three- and twodimensional materials. Here, we extend this concept to quasi-one-dimensional (Q1D) monolayers assembled fr…

cond-mat.mes-hall2024

Robust Coulomb Gap and Varied-temperature Study of Epitaxial 1T'-WSe Monolayers

Wang Chen, Mengli Hu, Junyu Zong +13

The transition metal dichalcogenides (TMDCs) with a 1T' structural phase are predicted to be two-dimensional topological insulators at zero temperature. Although the quantized edge…

cond-mat.mes-hall2017

Observation of Ultrahigh Mobility Surface States in a Topological Crystalline Insulator by Infrared Spectroscopy

Ying Wang, Guoyu Luo, Junwei Liu +5

Topological crystalline insulators (TCIs) possess metallic surface states protected by crystalline symmetry, which are a versatile platform for exploring topological phenomena and…

cond-mat.mtrl-sci2025

Discovery of a large magnetic nonlinear Hall effect in an altermagnet

Lei Han, Xizhi Fu, Cheng Song +10

Since Edwin Halls groundbreaking discovery of the Hall effect in 1879, magnetism, spin, and quantization have been expanding the scope of Hall effects, continuously driving transfo…

cond-mat.str-el2025

Correlation-driven quantum geometry effects in a Kondo system

Ruizi Liu, Zehan Chen, Xingkai Cheng +9

Quantum geometry, including quantum metric and Berry curvature, which describes the topology of electronic states, can induce fascinating physical properties. Symmetry-dependent no…

cs.RO2023

Coordinated Defense Allocation in Reach-Avoid Scenarios with Efficient Online Optimization

Junwei Liu, Zikai Ouyang, Jiahui Yang +3

In this paper, we present a dual-layer online optimization strategy for defender robots operating in multiplayer reach-avoid games within general convex environments. Our goal is t…

cond-mat.supr-con2026

Excitonic-Superconducting Coexistence and Emergent Nematic Superconductivity Driven by Spontaneous Symmetry Breaking

Fei Yang, Ruigang Li, Junwei Liu +1

Excitonic insulating (EI) and superconducting (SC) orders are generally regarded as mutually exclusive electronic instabilities. Within a self-consistent microscopic theory, we stu…

cond-mat.mtrl-sci2024

Light-induced percolative topological phase transition in type-II Weyl semimetal WTe2

Xiaoyue Zhou, Fu Deng, Yifan Gao +5

We report on an ultrafast terahertz free-carrier dynamic study of a photo-excited WTe2 thin film. In the photo-excited state, we observe a metastable electronic state featuring neg…

cs.LG2026

MLB: A Scenario-Driven Benchmark for Evaluating Large Language Models in Clinical Applications

Qing He, Dongsheng Bi, Jianrong Lu +20

The proliferation of Large Language Models (LLMs) presents transformative potential for healthcare, yet practical deployment is hindered by the absence of frameworks that assess re…

cond-mat.mtrl-sci2014

Functionalized Germanene as a Prototype of Large-Gap Two-Dimensional Topological Insulators

Chen Si, Junwei Liu, Yong Xu +3

We propose new two-dimensional (2D) topological insulators (TIs) in functionalized germanenes (GeX, X=H, F, Cl, Br or I) using first-principles calculations. We find GeI is a 2D TI…

cs.LG2025

Quantum-Boosted High-Fidelity Deep Learning

Feng-ao Wang, Shaobo Chen, Yao Xuan +12

A fundamental limitation of probabilistic deep learning is its predominant reliance on Gaussian priors. This simplistic assumption prevents models from accurately capturing the com…

cond-mat.mtrl-sci2026

Ultrafast Magneto-optical Fingerprints of Altermagnetism in MnTe

Xu Yang, Xingkai Cheng, Zhuo Deng +9

Recently identified altermagnets exhibit a distinctive dual-space nature: they possess spin-split electronic bands akin to ferromagnets in momentum space while maintaining the full…

cond-mat.str-el2018

Symmetry Enforced Self-Learning Monte Carlo Method Applied to the Holstein Model

Chuang Chen, Xiao Yan Xu, Junwei Liu +3

Self-learning Monte Carlo method (SLMC), using a trained effective model to guide Monte Carlo sampling processes, is a powerful general-purpose numerical method recently introduced…

cond-mat.mes-hall2025

Multiple Topological Phases Controlled via Strain in Two-Dimensional Altermagnets

Zesen Fu, Mengli Hu, Aolin Li +3

Altermagnets (AMs) are an emergent class of magnetic materials that combine properties of ferromagnets and antiferromagnets, exhibiting spin-polarized Fermi surfaces and zero net m…

cond-mat.mes-hall2013

Spin-filtered Edge States with an Electrically Tunable Gap in a Two-Dimensional Topological Crystalline Insulator

Junwei Liu, Timothy H. Hsieh, Peng Wei +3

Three-dimensional topological crystalline insulators were recently predicted and observed in the SnTe class of IV-VI semiconductors, which host metallic surface states protected by…

cs.SE2026

Towards Iterative End-to-End Software Development: A Feature-Driven Multi-Agent Framework

Junwei Liu, Chen Xu, Chong Wang +5

Recent advances in large language model agents offer the promise of automating end-to-end software development from natural language requirements. However, existing approaches larg…

cs.SE2025

Large Language Model-Based Agents for Software Engineering: A Survey

Junwei Liu, Kaixin Wang, Yixuan Chen +4

The recent advance in Large Language Models (LLMs) has shaped a new paradigm of AI agents, i.e., LLM-based agents. Compared to standalone LLMs, LLM-based agents substantially exten…

cond-mat.mes-hall2016

Tunable Weyl fermions and Fermi arcs in magnetized topological crystalline insulators

Junwei Liu, Chen Fang, Liang Fu

Based on analysis and realistic tight-binding calculations, we find that time-reversal-breaking Weyl semimetals can be realized in magnetically-doped (Mn, Eu, Cr etc.) S…

cond-mat.mes-hall2025

Atomic-scale spin sensing of a 2D -wave altermagnet via helical tunneling

Zhuying Wang, Shuikang Yu, Xingkai Cheng +17

Altermagnetism simultaneously possesses nonrelativistic spin responses and zero net magnetization, thus combining advantages of ferromagnetism and antiferromagnetism. This superior…

cond-mat.str-el2016

Self-Learning Determinantal Quantum Monte Carlo Method

Xiao Yan Xu, Yang Qi, Junwei Liu +2

Self-learning Monte Carlo method [arXiv:1610.03137, 1611.09364] is a powerful general-purpose numerical method recently introduced to simulate many-body systems. In this work, we i…

cond-mat.mtrl-sci2024

Crystal design of altermagnetism

Zhiyuan Zhou, Xingkai Cheng, Mengli Hu +3

Symmetry plays a fundamental role in condensed matter. The unique entanglement between magnetic sublattices and alternating crystal environment in altermagnets provides a unique op…

cond-mat.mes-hall2025

Broadband nonlinear Hall response and multiple wave mixing in a room temperature altermagnet

Soumya Sankar, Xingkai Cheng, Xinyu Chen +10

Crystalline symmetries determine the linear and nonlinear response of materials to external stimuli such as mechanical pressure and electromagnetic fields, governing phenomena such…

cond-mat.mes-hall2014

Dirac mass generation from crystal symmetry breaking on the surfaces of topological crystalline insulators

Ilija Zeljkovic, Yoshinori Okada, Maksym Serbyn +12

The tunability of topological surface states (SS) and controllable opening of the Dirac gap are of fundamental and practical interest in the field of topological materials. In topo…

cond-mat.str-el2026

Odd spin symmetry and anisotropy switching in p-wave magnet CeNiAsO

Fayuan Zhang, Huaxun Li, Xingkai Cheng +18

Odd-parity magnets, complementary to altermagnets, exhibit unique properties such as high efficiency in charge-spin conversion and compatibility with conventional superconductivity…

cond-mat.mtrl-sci2021

Bridging the gap between atomically thin semiconductors and metal leads

Xiangbin Cai, Zefei Wu, Xu Han +15

Electrically interfacing atomically thin transition metal dichalcogenide semiconductors (TMDSCs) with metal leads is challenging because of undesired interface barriers, which have…

cond-mat.str-el2019

Band engineering of a magnetic thin film rare earth monopnictide

Hisashi Inoue, Minyong Han, Mengli Hu +3

Realizing quantum materials in few atomic layer morphologies is a key to both observing and controlling a wide variety of exotic quantum phenomena. This includes topological electr…