output
20172019
most citedA new prediction method of unsteady wake flow by the hybrid deep neural network

189 citations

6 papers

physics.soc-ph2019★ 10 cited

Dependency-based targeted attacks in interdependent networks

Dong Zhou, Amir Bashan

Modern large network systems normally work in cooperation and incorporate dependencies between their components for purposes of efficiency and regulation. Such dependencies may bec…

physics.flu-dyn2019★ 189 cited

A new prediction method of unsteady wake flow by the hybrid deep neural network

Renkun Han, Yixing Wang, Yang Zhang +1

The fast and accurate prediction of unsteady flow becomes a serious challenge in fluid dynamics, due to the high-dimensional and nonlinear characteristics. A novel hybrid deep neur…

hep-ph2019★ 3 cited

Parity-odd Parton Distribution Functions from -Vacuum

Weihua Yang

Quantum chromodynamics is a fundamental non-abelian gauge theory of strong interactions. The physical quantum chromodynamics vacuum state, , is a linear superposition of…

hep-ph2019★ 4 cited

Parity odd Fragmentation Functions

Weihua Yang

Quantum chromodynamics is a non-Abelian gauge theory of strong interactions, in which the parity symmetry can be violated by the non-trivial -vacuum tunneling effects. The -v…

physics.soc-ph2018★ 153 cited

Scale-free Resilience of Real Traffic Jams

Limiao Zhang, Guanwen Zeng, Daqing Li +3

The concept of resilience can be realized in natural and engineering systems, representing the ability of system to adapt and recover from various disturbances. Although resilience…

physics.soc-ph2017★ 4 cited

Design of endurable networks in the presence of aging

Yuansheng Lin, Amikam Patron, Shu Guo +4

Networks are designed to satisfy given objectives under specific requirements. While the static connectivity of networks is normally analyzed and corresponding design principles fo…