Xiang Gao

Orcid: 0000-0002-8216-7482

According to our database1, Xiang Gao authored at least 8 papers between 2016 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
FlowDNN: a physics-informed deep neural network for fast and accurate flow prediction.
Frontiers Inf. Technol. Electron. Eng., 2022

2021
Research on the Role of Hybrid Mesh Warm-up in Flow Prediction Based on Deep Learning.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

2020
FlowGAN: A Conditional Generative Adversarial Network for Flow Prediction in Various Conditions.
Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2019
Parallel Mesh Deformation Method Using Support Vector Regression for Aerodynamics.
Proceedings of the Eleventh International Conference on Advanced Computational Intelligence, 2019

2018
Developing a parallel density-based implicit solver with mesh deformation in OpenFOAM.
J. Comput. Sci., 2018

Improved grid partitioning algorithms for load-balancing high-order structured aerodynamics simulations.
Comput. Electr. Eng., 2018

2017
Performance modeling and optimization of parallel LU-SGS on many-core processors for 3D high-order CFD simulations.
J. Supercomput., 2017

2016
Parallelizing and optimizing large-scale 3D multi-phase flow simulations on the Tianhe-2 supercomputer.
Concurr. Comput. Pract. Exp., 2016


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