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20192026
most citedMolecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials

104 citations

Showing 2024Show all

26 papers · 1 filter

eess.SP2024★ 4 cited

A Simplified Algorithm for Joint Real-Time Synchronization, NLoS Identification, and Multi-Agent Localization

Yili Deng, Jie Fan, Jiguang He +3

Real-time, high-precision localization in large-scale wireless networks faces two primary challenges: clock offsets caused by network asynchrony and non-line-of-sight (NLoS) condit…

cs.LG2024★ 3 cited

PGD-Imp: Rethinking and Unleashing Potential of Classic PGD with Dual Strategies for Imperceptible Adversarial Attacks

Jin Li, Zitong Yu, Ziqiang He +2

Imperceptible adversarial attacks have recently attracted increasing research interests. Existing methods typically incorporate external modules or loss terms other than a simple $…

cond-mat.mtrl-sci2024★ 29 cited

Insight into the effect of force error on the thermal conductivity from machine-learned potentials

Wenjiang Zhou, Nianjie Liang, Xiguang Wu +3

Machine-learned potentials (MLPs) have been extensively used to obtain the lattice thermal conductivity via atomistic simulations. However, the impact of force errors in various ML…

cond-mat.mes-hall2024★ 4 cited

Random-Flux-Induced Transition Sequence between Weak and Strong Topological Phases with Anisotropic Localization Properties

Chang-An Li, Bo Fu, Jian Li +1

We demonstrate that random flux is able to drive nontrivial topological phase transitions, in particular between weak topological insulators (WTIs) and Chern insulators (CIs), illu…

cs.IT2024★ 4 cited

Covariance-Based Device Activity Detection with Massive MIMO for Near-Field Correlated Channels

Ziyue Wang, Yang Li, Ya-Feng Liu +1

This paper studies the device activity detection problem in a massive multiple-input multiple-output (MIMO) system for near-field communications (NFC). In this system, active devic…

eess.SP2024

Hawk: An Efficient NALM System for Accurate Low-Power Appliance Recognition

Zijian Wang, Xingzhou Zhang, Yifan Wang +2

Non-intrusive Appliance Load Monitoring (NALM) aims to recognize individual appliance usage from the main meter without indoor sensors. However, existing systems struggle to balanc…

cond-mat.str-el2024★ 3 cited

Resonant inelastic x-ray scattering spectra of spinon, doublon, and quarton excitations of a spin- antiferromagnetic Heisenberg trimer chain

Junli Li, Jun-Qing Cheng, Trinanjan Datta +1

We investigate the excitation spectra of a spin-1/2 antiferromagnetic Heisenberg trimer spin chain by employing a combination of numerical and theoretical techniques. Utilizing the…

cond-mat.mtrl-sci2024★ 30 cited

Highly efficient path-integral molecular dynamics simulations with GPUMD using neuroevolution potentials: Case studies on thermal properties of materials

Penghua Ying, Wenjiang Zhou, Lucas Svensson +10

Path-integral molecular dynamics (PIMD) simulations are crucial for accurately capturing nuclear quantum effects in materials. However, their computational intensity and reliance o…

cond-mat.str-el2024★ 3 cited

Tuning competition between charge order and superconductivity in the square-lattice -- model

Xin Lu, Huaiming Guo, Wei-Qiang Chen +2

Recently, a flurry of works have found strong competition between charge density wave (CDW) and superconductivity (SC) in the doped Hubbard and - models on the square lattice…

cs.RO2024★ 3 cited

Safe and Real-Time Consistent Planning for Autonomous Vehicles in Partially Observed Environments via Parallel Consensus Optimization

Lei Zheng, Rui Yang, Minzhe Zheng +2

Ensuring safety and driving consistency is a significant challenge for autonomous vehicles operating in partially observed environments. This work introduces a consistent parallel…

cond-mat.quant-gas2024

Distinct many-body scars and emergent quantum phases driven by competing interactions in two-species Rydberg arrays

Lei-Yi-Nan Liu, Shun-Yao Yu, Shi-Rong Peng +6

Rydberg atom arrays composed of multiple atomic species stand as a highly promising platform for quantum computation. However, the underlying physics of these systems as quantum ma…

cond-mat.mes-hall2024

Disordered Parity Anomalous Semimetal

Shi-Hao Bi, Bo Fu, Shun-Qing Shen

The parity anomalous semimetal is a topological state of matter characterized by its semi-metallic nature and a quantum Hall conductance of one-half ( is the elementar…

math.DG2024★ 1 cited

Nijenhuis geometry of parallel tensors

Andrzej Derdzinski, Paolo Piccione, Ivo Terek

A tensor -- meaning here a tensor field of any type on a manifold -- may be called integrable if it is parallel relative to some torsion-free connection. We provide ana…

cond-mat.mes-hall2024★ 20 cited

Phonon heat conduction across slippery interfaces in twisted graphite

Fuwei Yang, Wenjiang Zhou, Zhibin Zhang +12

Interlayer rotation in van der Waals (vdW) materials offers great potential for manipulating phonon dynamics and heat flow in advanced electronics with ever higher compactness and…

cond-mat.str-el2024★ 6 cited

Density matrix renormalization group study of quantum-geometry-facilitated pair density wave order

Hao-Xin Wang, Wen Huang

Understanding the formation of novel pair density waves (PDWs) in strongly correlated electronic systems remains challenging. Recent mean-field studies suggest that PDW phases may…

cond-mat.mes-hall2024★ 7 cited

Dirac Fermions and Topological Phases in Magnetic Topological Insulator Films

Kai-Zhi Bai, Bo Fu, Shun-Qing Shen

We develop a Dirac fermion theory for topological phases in magnetic topological insulator films. The theory is based on exact solutions of the energies and the wave functions for…

cs.CV2024★ 4 cited

Multi-modal Document Presentation Attack Detection With Forensics Trace Disentanglement

Changsheng Chen, Yongyi Deng, Liangwei Lin +2

Document Presentation Attack Detection (DPAD) is an important measure in protecting the authenticity of a document image. However, recent DPAD methods demand additional resources,…

cond-mat.mes-hall2024★ 69 cited

Orbital Magneto-Nonlinear Anomalous Hall Effect in Kagome Magnet FeSn

Lujunyu Wang, Jiaojiao Zhu, Haiyun Chen +14

It has been theoretically predicted that perturbation of the Berry curvature by electromagnetic fields gives rise to intrinsic nonlinear anomalous Hall effects that are independent…

hep-th2024★ 1 cited

Detecting quantum chaos via pseudo-entropy

Song He, Pak Hang Chris Lau, Long Zhao

Quantum informatic quantities such as entanglement entropy are useful in detecting quantum phase transitions. Recently, a new entanglement measure called pseudo-entropy was propose…

cs.RO2024★ 8 cited

Barrier-Enhanced Parallel Homotopic Trajectory Optimization for Safety-Critical Autonomous Driving

Lei Zheng, Rui Yang, Michael Yu Wang +1

Enforcing safety while preventing overly conservative behaviors is essential for autonomous vehicles to achieve high task performance. In this paper, we propose a barrier-enhanced…

cond-mat.str-el2024★ 11 cited

Quantum phase transitions and composite excitations of antiferromagnetic spin trimer chains in a magnetic field

Jun-Qing Cheng, Zhi-Yao Ning, Han-Qing Wu +1

Motivated by recent advancements in theoretical and experimental studies of the high-energy excitations on an antiferromagnetic trimer chain, we numerically investigate the quantum…

cond-mat.mtrl-sci2024★ 4 cited

Isotope engineering of carrier mobility via Fröhlich electron-phonon interaction

Wenjiang Zhou, Te-Huan Liu, Bai Song

Isotope effects on phonon properties and transport have been predicted and observed for decades. However, despite the crucial impact of electron-phonon interactions, the effect of…

cond-mat.mtrl-sci2024★ 104 cited

Molecular dynamics simulations of heat transport using machine-learned potentials: A mini review and tutorial on GPUMD with neuroevolution potentials

Haikuan Dong, Yongbo Shi, Penghua Ying +9

Molecular dynamics (MD) simulations play an important role in understanding and engineering heat transport properties of complex materials. An essential requirement for reliably pr…

cond-mat.mtrl-sci2024★ 41 cited

Correcting force error-induced underestimation of lattice thermal conductivity in machine learning molecular dynamics

Xiguang Wu, Wenjiang Zhou, Haikuang Dong +5

Machine learned potentials (MLPs) have been widely employed in molecular dynamics (MD) simulations to study thermal transport. However, literature results indicate that MLPs genera…