Mu Bin

Professor

Supervisor of Doctorate Candidates

Supervisor of Master's Candidates

E-Mail:

Professional Title: Professor

Academic Titles: Professor & Deputy Dean

Discipline: Computer Science and Technology
Computer Software and Theory
Computer Applied Technology
Software Engineering
Electronic Information Engineering
Intelligent Science and technologyy

Recommended Ph.D.Supervisor Recommended MA Supervisor Team member

Achievements of The Thesis

Current Location: Home > Scientific Research > Achievements of The Thesis

A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptor

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Impact Factor:2.9

Affiliation of Author(s):计算机科学与技术学院

Journal:Frontiers in Earth Science

Co-author:Mu Bin

Indexed by:Periodical papers

Translation or Not:no

Date of Publication:2023-01-01

Included Journals:SCOPUS、WOS、CNKI

Prev One:Estimating the tropical cyclone wind structure using physics-incorporated networks
Next One:Error Evolutions and Analyses on Joint Effects of SST and SL via Intermediate Coupled Models and Conditional Nonlinear Optimal Perturbation Method

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Achievements of The Thesis

A radiative transfer deep learning model coupled into WRF with a generic fortran torch adaptor

Mu Bin