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Tianbai Xiao
Tianbai Xiao
Other names肖天白
Professor, Chinese Academy of Sciences
Verified email at imech.ac.cn - Homepage
Title
Cited by
Cited by
Year
A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows
T Xiao, C Liu, K Xu, Q Cai
Journal of Computational Physics 415, 109535, 2020
332020
A well-balanced unified gas-kinetic scheme for multiscale flow transport under gravitational field
T Xiao, Q Cai, K Xu
Journal of Computational Physics 332, 475-491, 2017
292017
Using neural networks to accelerate the solution of the Boltzmann equation
T Xiao, M Frank
Journal of Computational Physics 443, 110521, 2021
252021
An investigation of non-equilibrium heat transport in a gas system under external force field
T Xiao, K Xu, Q Cai, T Qian
International Journal of Heat and Mass Transfer 126, 362-379, 2018
222018
A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification
T Xiao, M Frank
Journal of Computational Physics 432, 110139, 2021
172021
A unified gas-kinetic scheme for multiscale and multicomponent flow transport
T Xiao, K Xu, Q Cai
Applied Mathematics and Mechanics 40 (3), 355-372, 2019
172019
A flux reconstruction kinetic scheme for the Boltzmann equation
T Xiao
Journal of Computational Physics 447, 110689, 2021
142021
Kinetic. jl: A portable finite volume toolbox for scientific and neural computing
T Xiao
Journal of Open Source Software 6 (62), 3060, 2021
142021
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation.
S Schotthöfer, T Xiao, M Frank, CD Hauck
ICML, 19406-19433, 2022
82022
Neural network-based, structure-preserving entropy closures for the Boltzmann moment system
S Schotthöfer, T Xiao, M Frank, CD Hauck
arXiv preprint arXiv:2201.10364, 2022
82022
A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification
T Xiao, M Frank
Journal of Computational Physics 437, 110337, 2021
82021
A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks
S Schotthöfer, T Xiao, M Frank, C Hauck
AIAA Aviation 2021 Forum, 2895, 2021
62021
有机硫恶臭气体治理方法的研究进展
张帆, 王祖武, 吴晓璇, 周思宇, 蒋遥, 肖天白, 向秀华
湖北理工学院学报 29 (4), 24-27, 2013
52013
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator
T Xiao, M Frank
Journal of Computational Physics 490, 112317, 2023
42023
KiT-RT: An extendable framework for radiative transfer and therapy
J Kusch, S Schotthöfer, P Stammer, J Wolters, T Xiao
ACM Transactions on Mathematical Software 49 (4), 1-24, 2023
22023
Predicting continuum breakdown with deep neural networks
T Xiao, S Schotthöfer, M Frank
Journal of Computational Physics 489, 112278, 2023
22023
A Well-Balanced Unified Gas-Kinetic Scheme for Multicomponent Flows under External Force Field
T Xiao
Entropy 24 (8), 1110, 2022
22022
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations
JY Lee, S Schotthöfer, T Xiao, S Krumscheid, M Frank
arXiv preprint arXiv:2402.16613, 2024
2024
Research, Application and Future Prospect of Mode Decomposition in Fluid Mechanics
Y Long, X Guo, T Xiao
Symmetry 16 (2), 155, 2024
2024
A Stochastic Galerkin Lattice Boltzmann Method for Incompressible Fluid Flows with Uncertainties
M Zhong, T Xiao, MJ Krause, M Frank, S Simonis
Available at SSRN 4739337, 2024
2024
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