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

1.2k citations

Showing 2018Show all

11 papers · 1 filter

cond-mat.mtrl-sci2018★ 57 cited

PNADIS: An automated Peierls-Nabarro Analyzer for DISlocation core structure and slip resistance

S. H. Zhang, D. Legut, R. F. Zhang

Dislocation is one of the most critical and fundamental crystal defects that dominate the mechanical behavior of crystalline solids, however, a quantitative determination of its ch…

stat.AP2018★ 67 cited

LQD-RKHS-based distribution-to-distribution regression methodology for restoring the probability distributions of missing SHM data

Zhicheng Chen, Yuequan Bao, Hui Li +1

Data loss is a critical problem in structural health monitoring (SHM). Probability distributions play a highly important role in many applications. Improving the quality of distrib…

physics.app-ph2018★ 273 cited

Arbitrarily routed mode-division multiplexed photonic circuits for dense integration

Yingjie Liu, Ke Xu, Shuai Wang +8

Mode-division multiplexing (MDM) is becoming an enabling technique for large-capacity data communications via encoding the information on orthogonal guiding modes. However, the on-…

cond-mat.str-el2018★ 6 cited

Magnetically-driven structural phase transition in hexamethylbenzene

Fei Yen

The methyl groups in hexamethylbenzene C(CH) become magnetically ordered at the molecular level below 118 K. This is also near the temperature at which the system struc…

cond-mat.mtrl-sci2018★ 54 cited

ADAIS: Automatic Derivation of Anisotropic Ideal Strength via high-throughput first-principles computations

S. H. Zhang, Z. H. Fu, R. F. Zhang

Anisotropic ideal strength is a fundamental and important plasticity parameter in scaling the intrinsic strength of strong crystalline materials, and is a potential descriptor in s…

cond-mat.mtrl-sci2018★ 69 cited

Towards Air Stability of Ultra-Thin GaSe Devices: Avoiding Environmental and Laser-Induced Degradation by Encapsulation

Qinghua Zhao, Riccardo Frisenda, Patricia Gant +7

Gallium selenide (GaSe) is a novel two-dimensional material, which belongs to the layered III-VIA semiconductors family and attracted interest recently as it displays single-photon…

cs.CV2018★ 10 cited

In Defense of Single-column Networks for Crowd Counting

Ze Wang, Zehao Xiao, Kai Xie +3

Crowd counting usually addressed by density estimation becomes an increasingly important topic in computer vision due to its widespread applications in video surveillance, urban pl…

cond-mat.str-el2018★ 6 cited

Isotope Effect on the Magnetic Properties of Hexamethylbenzene: Evidence of Magnetism Based on Correlated Motion of Deuterons

Fei Yen

The associated magnetic moments of the periodic rotational motion of methyl groups in hexamethylbenzene C(CH) were recently identified to contribute to its overall magn…

cond-mat.mtrl-sci2018★ 1 cited

Orientational migration of halide ion in lead halide perovskites

Ningbo Yi, Gang Li, Yuhan Wang +4

With the rapid evolution of lead halide perovskite solar cells, there are considerable evidences that the mobile ions strongly impact their properties. However, except the activati…

cs.DB2018★ 6 cited

Improving Machine-based Entity Resolution with Limited Human Effort: A Risk Perspective

Zhaoqiang Chen, Qun Chen, Boyi Hou +2

Pure machine-based solutions usually struggle in the challenging classification tasks such as entity resolution (ER). To alleviate this problem, a recent trend is to involve the hu…

cs.LG2018★ 40 cited

General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning

Shiyin Wei, Xiaowei Jin, Hui Li

A universal rule-based self-learning approach using deep reinforcement learning (DRL) is proposed for the first time to solve nonlinear ordinary differential equations and partial…