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

1.2k citations

Showing 2019Show all

17 papers · 1 filter

physics.app-ph2019★ 18 cited

Continuum approach based on radiation distribution function for radiative heat transfer in densely packed particulate system

Baokun Liu, Junming Zhao, Linhua Liu

The study of radiative heat transfer in particulate system is usually based on radiative transfer equation (RTE) with effective radiative properties. However, for non-random, dense…

cond-mat.mes-hall2019★ 86 cited

Magnetic-tunable nanoscale thermal radiation between twisted graphene gratings

Mingjian He, Hong Qi, Yatao Ren +2

This paper presents a comprehensive theoretical study of the magnetic-tunable near-field radiative heat transfer (NFRHT) between two twisted graphene gratings. As a result of the q…

cond-mat.mes-hall2019★ 53 cited

Graphene-based thermal repeater

Mingjian He, Hong Qi, Yatao Ren +2

In this letter, we have demonstrated the possibility to efficiently relay the radiative heat flux between two nanoparticles by opening a smooth channel for heat transfer. By coatin…

cs.NI2019★ 1 cited

Traffic-aware Two-stage Queueing Communication Networks: Queue Analysis and Energy Saving

Nan Qi, Nikolaos I. Miridakis, Ming Xiao +3

To boost energy saving for the general delay-tolerant IoT networks, a two-stage and single-relay queueing communication scheme is investigated. Concretely, a traffic-aware -thre…

cond-mat.mes-hall2019★ 46 cited

Giant resonant radiative heat transfer between nanoparticles

Yong Zhang, Hong-Liang Yi, He-Ping Tan +1

We show that periodic multilayered structures allow to drastically enhance near-field radiative heat transfer between nanoparticles. In particular, when the two nanoparticles are p…

cs.CV2019★ 268 cited

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li

Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer vision function by on-board cameras and embedded systems, have become popular in a wide range of applicatio…

math.NA2019★ 3 cited

Tensor train-Karhunen-Loève expansion for continuous-indexed random fields using higher-order cumulant functions

Ling-Ze Bu, Wei Zhao, Wei Wang

The goals of this work are two-fold: firstly, to propose a new theoretical framework for representing random fields on a large class of multidimensional geometrical domain in the t…

eess.SP2019★ 1 cited

A Block Alternating Optimization Method for Direction-of-Arrival Estimation with Nested Array

Yunmei Shi, Xing-Peng Mao, Chunlei Zhao +1

In this paper, direction-of-arrival estimation using nested array is studied in the framework of sparse signal representation. With the vectorization operator, a new real-valued no…

hep-th2019★ 14 cited

Chiral vortical conductivity across a topological phase transition from holography

Xuanting Ji, Yan Liu, Xin-Meng Wu

We study the chiral vortical conductivity in a holographic Weyl semimetal model, which describes a topological phase transition from the strongly coupled topologically nontrivial p…

cond-mat.mes-hall2019★ 68 cited

Metasurface-mediated anisotropic radiative heat transfer between nanoparticles

Yong Zhang, Mauro Antezza, Hong-Liang Yi +1

Metasurfaces, the two-dimensional (2D) counterpart of metamaterials, have recently attracted a great attention due to their amazing properties such as negative refraction, hyperbol…

cs.IR2019★ 1 cited

Mutual Clustering on Comparative Texts via Heterogeneous Information Networks

Jianping Cao, Senzhang Wang, Danyan Wen +3

Currently, many intelligence systems contain the texts from multi-sources, e.g., bulletin board system (BBS) posts, tweets and news. These texts can be ``comparative'' since they m…

cs.NE2019★ 36 cited

CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling

Yasir Hussain, Zhiqiu Huang, Yu Zhou +1

Recently deep learning based Natural Language Processing (NLP) models have shown great potential in the modeling of source code. However, a major limitation of these approaches is…

cs.CV2019★ 1 cited

A laboratory-created dataset with ground-truth for hyperspectral unmixing evaluation

Min Zhao, Jie Chen, Zhe He

Spectral unmixing is an important and challenging problem in hyperspectral data processing. This topic has been extensively studied and a variety of unmixing algorithms have been p…

cond-mat.mes-hall2019★ 30 cited

Valley filtering effect of phonons in graphene with a grain boundary

Xiaobin Chen, Yong Xu, Jian Wang +1

Due to their possibility to encode information and realize low-energy-consumption quantum devices, control and manipulation of the valley degree of freedom have been widely studied…

cond-mat.mtrl-sci2019★ 10 cited

A Facile Method for Precise Layer Number Identification of Two-Dimensional Materials through Optical Images

Jiayu Lei, Jiafan Qu, Peng Wang +4

Optical microscopy is believed to be an efficient method for identifying layer number of two-dimensional 2D materials. However, since illuminants, cameras and their parameters are…

math.NA2019★ 1 cited

Second order hierarchical partial least squares regression-polynomial chaos expansion for global sensitivity and reliability analyses of high-dimensional models

Ling-Ze Bu, Wei Zhao, Wei Wang

To tackle the curse of dimensionality and multicollinearity problems of polynomial chaos expansion for analyzing global sensitivity and reliability of models with high stochastic d…

physics.chem-ph2019★ 24 cited

Anisotropic Charge Carrier and Coherent Acoustic Phonon Dynamics of Black Phosphorus Studied by Transient Absorption Microscopy

Shengjie Meng, Hongyan Shi, Hu Jiang +2

Due to its corrugated hexagonal lattice structure, Black phosphorus (BP) has unique anisotropic physical properties, which provides an additional freedom for designing devices. Man…