Large-Scale OD Matrix Estimation with A Deep Learning Method

no code implementations • 9 Oct 2023 • Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng

To alleviate this problem, some researchers incorporate a prior OD matrix as a target in the regression to provide more structural constraints.

A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence

no code implementations • 11 Jul 2023 • Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng

To this end, this paper proposes an integrated method, which uses deep learning methods to infer the structure of OD sequence and uses structural constraints to guide traditional numerical optimization.

g-SiC6 Monolayer: A New Graphene-like Dirac Cone Material with a High Fermi Velocity

no code implementations • 9 Feb 2021 • Tao Yang, Xingang Jiang, Wencai Yi, Xiaomin Cheng, Xiaobing Liu

In this work, using first-principles calculations, we have predicted a new Dirac cone material of silicon carbide with the new stoichiometries, named g-SiC6 monolayer, which is composed of sp2 hybridized with a graphene-like structure.

Materials Science