output
20142026
most citedNSFnets (Navier-Stokes Flow nets): Physics-informed neural networks for the incompressible Navier-Stokes equations

1.2k citations

Showing 2025Show all

28 papers · 1 filter

astro-ph.SR2025★ 1 cited

Constraining the outer boundary condition for the Babcock-Leighton dynamo models

Yukun Luo, Jie Jiang, Binghang Li +2

The evolution of the Sun's large-scale surface magnetic field is well captured by surface flux transport models, which can therefore provide a natural constraint on the outer bound…

astro-ph.SR2025★ 1 cited

Prediction of the Solar Polar Fields in 2026: An Unusually Weak Level Across the Last Five Solar Cycles

Ruihui Wang, Jie Jiang, Yukun Luo

Solar polar fields are essential for the solar cycle and the heliospheric magnetic field. Cycle 25 is now entering its declining phase, the critical period during which most of the…

cs.NI2025★ 1 cited

BlockSDN: Towards a High-Performance Blockchain via Software-Defined Cross Networking optimization

Wenyang Jia, Jingjing Wang, Ziwei Yan +2

The scalability of blockchain systems is constrained by inefficient P2P broadcasting, as most existing optimizations focus only on the logical layer without considering physical ne…

hep-th2025

Towards mixed phase correlators in monomial matrix models

A. Popolitov

Correlators in monomial Hermitian matrix model strongly depend on the choice of eigenvalue integration contours. We express Schur correlator in case of several different integratio…

cond-mat.mes-hall2025★ 1 cited

Crystal Orientation Dependence of Extreme Near-Field Heat Transfer between Polar Materials Governed by Surface Phonon Modes

Wei-Zhe Yuan, Yangyu Guo, Hong-Liang Yi

Due to the rapid development of micro- and nano-manufacturing and electronic devices, heat transfer at the transition regime between radiation and conduction becomes increasingly i…

physics.flu-dyn2025★ 4 cited

Super-resolution reconstruction of turbulent flows from a single Lagrangian trajectory

Hua-Lin Wu, Ao Xu, Heng-Dong Xi

We studied the reconstruction of turbulent flow fields from trajectory data recorded by actively migrating Lagrangian agents. We propose a deep-learning model, track-to-flow (T2F),…

cond-mat.str-el2025

Emergence of quantum spin liquid and spin-flop phase in Kitaev antiferromagnets in a [111] magnetic field

Shuai Liu, Hao Wu, Jinbin Li +2

Kitaev magnets have emerged as pivotal systems for investigating frustrated magnetism, providing a unique platform to explore quantum phases governed by the interplay between bond-…

eess.SP2025★ 1 cited

Spectrum Cognition: Semantic Situation for Next-Generation Spectrum Management

Hao Zhang, Fuhui Zhou, Qihui Wuand Chau Yuen

In response to the growing complexity and demands of future wireless communication networks, spectrum cognition has emerged as an essential technique for optimizing spectrum utiliz…

cs.NI2025★ 1 cited

An Efficient and Adaptive Framework for Achieving Underwater High-performance Maintenance Networks

Yu Gou, Tong Zhang, Jun Liu +2

With the development of space-air-ground-aqua integrated networks (SAGAIN), high-speed and reliable network services are accessible at any time and any location. However, the long…

hep-th2025

Non-commutative creation operators for symmetric polynomials

A. Mironov, A. Morozov

We reconsider in modern terms the old discovery by A. Kirillov and M. Noumi, who devised peculiar operators adding columns to Young diagrams enumerating the Schur, Jack and Macdona…

hep-th2025★ 1 cited

Operator lift of Reshetikhin-Turaev formalism to Khovanov-Rozansky TQFTs

Dmitry Galakhov, Elena Lanina, Alexei Morozov

Topological quantum field theory (TQFT) is a powerful tool to describe homologies, which normally involve complexes and a variety of maps/morphisms, what makes a functional integra…

eess.SP2025★ 15 cited

Federated Learning in Active STARS-Aided Uplink Networks

Xinwei Yue, Xinning Guo, Xidong Mu +4

Active simultaneously transmitting and reflecting surfaces (ASTARS) have attracted growing research interest due to its ability to alleviate multiplicative fading and reshape the e…

cs.CR2025★ 1 cited

Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks

Yucheng Wu, Yuncong Yang, Xiao Han +2

Publishing graph data is widely desired to enable a variety of structural analyses and downstream tasks. However, it also potentially poses severe privacy leakage, as attackers may…

astro-ph.SR2025★ 6 cited

Minimal Roles of Solar Subsurface Meridional Flow in the distributed-shear Babcock-Leighton Dynamo

Jie Jiang, Zebin Zhang

The subsurface meridional flow has long been recognized as a critical factor in driving the solar cycle. Specifically, the equatorward return flow in the tachocline is widely belie…

cs.NI2025★ 3 cited

A Disentangled Representation Learning Framework for Low-altitude Network Coverage Prediction

Xiaojie Li, Zhijie Cai, Nan Qi +5

The expansion of the low-altitude economy has underscored the significance of Low-Altitude Network Coverage (LANC) prediction for designing aerial corridors. While accurate LANC fo…

cs.CV2025★ 2 cited

Visual hallucination detection in large vision-language models via evidential conflict

Tao Huang, Zhekun Liu, Rui Wang +2

Despite the remarkable multimodal capabilities of Large Vision-Language Models (LVLMs), discrepancies often occur between visual inputs and textual outputs--a phenomenon we term vi…

hep-th2025★ 1 cited

On geometric bases for A-polynomials II: and Kuberberg bracket

Dmitry Galakhov, Alexei Morozov

We continue the study of quantum A-polynomials -- equations for knot polynomials with respect to their coloring (representation-dependence) -- as the relations between different li…

cs.CV2025★ 1 cited

Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting

Feng Yang, Wenliang Qian, Wangmeng Zuo +1

Score Distillation Sampling (SDS) leverages pretrained 2D diffusion models to advance text-to-3D generation but neglects multi-view correlations, being prone to geometric inconsist…

cond-mat.mtrl-sci2025

Interface phonon modes governing the ideal limit of thermal transport across diamond/cubic boron nitride interfaces

Xiaonan Wang, Xin Wu, Penghua Ying +2

Understanding the ideal limit of interfacial thermal conductance (ITC) across semiconductor heterointerfaces is crucial for optimizing heat dissipation in practical applications. B…

hep-th2025

Twisted Baker-Akhiezer function from determinants

A. Mironov, A. Morozov, A. Popolitov

General description of eigenfunctions of integrable Hamiltonians associated with the integer rays of Ding-Iohara-Miki (DIM) algebra, is provided by the theory of Chalykh Baker-Akhi…

hep-th2025

Itzykson-Zuber correlators from character expansion

Alexei Morozov, Hasib Sifat

We demonstrate the consistency of character expansion for the Itzykson-Zuber (IZ) model in terms of Schur polynomials with the old formulas for pair correlators with the IZ measure…

cond-mat.str-el2025★ 6 cited

High Chern numbers and topological flat bands in high-field polarized Kitaev magnets on the star lattice

Zixuan Zou, Qiang Luo

The geometrically frustrated Kitaev magnets are demonstrated to be fertile playgrounds that allow for the occurrence of exotic phenomena, including topological phases and the therm…

cs.LG2025

Spatial Distillation based Distribution Alignment (SDDA) for Cross-Headset EEG Classification

Dingkun Liu, Siyang Li, Ziwei Wang +2

A non-invasive brain-computer interface (BCI) enables direct interaction between the user and external devices, typically via electroencephalogram (EEG) signals. However, decoding…

cond-mat.mtrl-sci2025★ 9 cited

Intrinsic exciton transport and recombination in single-crystal lead bromide perovskite

Zhixuan Bi, Yunfei Bai, Ying Shi +13

Photogenerated carrier transport and recombination in metal halide perovskites are critical to device performance. Despite considerable efforts, sample quality issues and measureme…