activity
20182023
most citedOptical skyrmions and other topological quasiparticles of light

404 citations · 596 across the 19 of their papers we have counts for

collaborators

19 papers

physics.optics2023★ 3 cited

The hidden spin-momentum locking and topological defects in unpolarized light fields

Peng Shi, Min Lin, Xinxin Gou +3

Electromagnetic waves characterized by intensity, phase, and polarization degrees of freedom are widely applied in data storage, encryption, and communications. However, these prop…

physics.plasm-ph2023★ 1 cited

Critical roles of edge turbulent transport in the formation of high-field-side high-density front and density limit disruption in J-TEXT tokamak

Peng Shi, Yuhan Wang, Li Gao +16

This article presents an in-depth study of the sequence of events leading to density limit disruption in J-TEXT tokamak plasmas, with an emphasis on boudary turbulent transport and…

cond-mat.mtrl-sci2023★ 11 cited

Non-Equilibrium Nature of Fracture Determines the Crack Paths

Pengjie Shi, Shizhe Feng, Zhiping Xu

A high-fidelity neural network-based force field, NN-F, is developed to cover the strain states up to material failure and the non-equilibrium, intermediate nature of fractur…

physics.optics2023★ 1 cited

Topological state transitions in electromagnetic topological defects

Peng Shi, Qiang Zhang, Xiaocong Yuan

The recent emergence of electromagnetic topological defects has attracted wide interest in fields from topological photonics to deep-subwavelength light-mater interactions. Previou…

stat.ME2023★ 4 cited

Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching

Pengfei Shi, Xinyu Zhang, Wei Zhong

We propose a model averaging approach, combined with a partition and matching method to estimate the conditional average treatment effects under heteroskedastic error settings. The…

physics.optics2022★ 19 cited

Spin/momentum properties of the paraxial optical beams

Peng Shi, Heng Li, Luping Du +1

Spin angular momentum, an elementary dynamical property of classical electromagnetic fields, plays an important role in spin-orbit and light-matter interactions, especially in near…

cs.LG2022

COVID-Net Assistant: A Deep Learning-Driven Virtual Assistant for COVID-19 Symptom Prediction and Recommendation

Pengyuan Shi, Yuetong Wang, Saad Abbasi +1

As the COVID-19 pandemic continues to put a significant burden on healthcare systems worldwide, there has been growing interest in finding inexpensive symptom pre-screening and rec…

physics.plasm-ph2022

Effect of mismatch on Doppler backscattering in MAST and MAST-U plasmas

Valerian H. Hall-Chen, Felix I. Parra, Jon C. Hillesheim +14

The Doppler backscattering (DBS) diagnostic, also referred to as Doppler reflectometry, measures turbulent density fluctuations of intermediate length scales. However, when the bea…

physics.flu-dyn2022

Reformulating the Governing Equations from the Total Energy of a Fluid Parcel: From Internal, Kinetic, and Flow-Work to Stagnation-Enthalpy Balance

Peng Shi

The classical governing equations of fluid dynamics perform well for most flow problems, yet they assign pressure two different roles: as a measure of elastic energy of a fluid par…

physics.optics2022★ 404 cited

Optical skyrmions and other topological quasiparticles of light

Yijie Shen, Qiang Zhang, Peng Shi +3

Skyrmions are topologically stable quasiparticles that have been predicted and demonstrated in quantum fields, solid-state physics, and magnetic materials, but only recently observ…

physics.class-ph2022

Fluid dynamics described from new dynamic hypothesis

Peng Shi

In order to address the difficulties of classical fluid kinematics in describing vorticity and the paradox of linear correlation between viscous force and vorticity in the Navier-S…

physics.optics2022★ 34 cited

Intrinsic spin-momentum dynamics of surface electromagnetic waves in complex dispersive system

Peng Shi, Xinrui Lei, Qiang Zhang +3

Spin-momentum locking is an intrinsic property of surface electromagnetic fields and its study has led to the discovery of photonic spin lattices and diverse applications. Previous…

cs.LG2022★ 1 cited

Physics-informed ConvNet: Learning Physical Field from a Shallow Neural Network

Pengpeng Shi, Zhi Zeng, Tianshou Liang

Big-data-based artificial intelligence (AI) supports profound evolution in almost all of science and technology. However, modeling and forecasting multi-physical systems remain a c…

physics.optics2021★ 2 cited

Spin decomposition and topological properties in a generic electromagnetic field

Peng Shi, Aiping Yang, Xiaojin Yin +3

Electromagnetic spins, including longitudinal and transverse ones, have been playing important roles in light-matter interactions. Here, we formulate a unified equation to uncover…

eess.SP2021

Parallel frequency function-deep neural network for efficient complex broadband signal approximation

Zhi Zeng, Pengpeng Shi, Fulei Ma +1

A neural network is essentially a high-dimensional complex mapping model by adjusting network weights for feature fitting. However, the spectral bias in network training leads to u…

physics.optics2021★ 40 cited

Symmetry-protected photonic chiral spin textures by spin-orbit coupling

Peng Shi, Luping Du, Mingjie Li +1

Chiral spin textures are researched widely in condensed matter systems and show potential for spintronics and storage applications. Along with extensive condensed-matter studies of…

physics.optics2020★ 43 cited

Mapping the near-field spin angular momenta in the structured surface plasmon polaritons field

Congcong Li, Peng Shi, Luping Du +1

Optical spin angular momenta in a confined electromagnetic field exhibit remarkable difference with their free space counterparts, in particular, the optical transverse spin that i…

physics.plasm-ph2018★ 7 cited

Observation of non-local effects in ion transport channel in J-TEXT plasmas

Yuejiang Shi

In cold pulse experiments in J-TEXT, the ion transport shows similar non-local response as the electron transport channel. Very fast ion temperatures decreases are observed in the…

cs.CL2018★ 26 cited

IcoRating: A Deep-Learning System for Scam ICO Identification

Shuqing Bian, Zhenpeng Deng, Fei Li +9

Cryptocurrencies (or digital tokens, digital currencies, e.g., BTC, ETH, XRP, NEO) have been rapidly gaining ground in use, value, and understanding among the public, bringing asto…