404 citations · 596 across the 19 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…