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Tianbai Xiao
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2020 – today
- 2024
- [j13]Yun Long, Xi'an Guo, Tianbai Xiao:
Research, Application and Future Prospect of Mode Decomposition in Fluid Mechanics. Symmetry 16(2): 155 (2024) - [i4]Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank:
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations. CoRR abs/2402.16613 (2024) - 2023
- [j12]Tianbai Xiao, Steffen Schotthöfer, Martin Frank:
Predicting continuum breakdown with deep neural networks. J. Comput. Phys. 489: 112278 (2023) - [j11]Tianbai Xiao, Martin Frank:
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator. J. Comput. Phys. 490: 112317 (2023) - [j10]Tianbai Xiao, Jonas Kusch, Julian Koellermeier, Martin Frank:
A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws. J. Sci. Comput. 95(1): 18 (2023) - [j9]Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao:
KiT-RT: An Extendable Framework for Radiative Transfer and Therapy. ACM Trans. Math. Softw. 49(4): 38:1-38:24 (2023) - 2022
- [j8]Tianbai Xiao:
A Well-Balanced Unified Gas-Kinetic Scheme for Multicomponent Flows under External Force Field. Entropy 24(8): 1110 (2022) - [c1]Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck:
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation. ICML 2022: 19406-19433 - [i3]Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck:
Neural network-based, structure-preserving entropy closures for the Boltzmann moment system. CoRR abs/2201.10364 (2022) - [i2]Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao:
KiT-RT: An extendable framework for radiative transfer and therapy. CoRR abs/2205.08417 (2022) - 2021
- [j7]Tianbai Xiao, Martin Frank:
A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification. J. Comput. Phys. 432: 110139 (2021) - [j6]Tianbai Xiao, Martin Frank:
A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification. J. Comput. Phys. 437: 110337 (2021) - [j5]Tianbai Xiao, Martin Frank:
Using neural networks to accelerate the solution of the Boltzmann equation. J. Comput. Phys. 443: 110521 (2021) - [j4]Tianbai Xiao:
A flux reconstruction kinetic scheme for the Boltzmann equation. J. Comput. Phys. 447: 110689 (2021) - [j3]Tianbai Xiao:
Kinetic.jl: A portable finite volume toolbox for scientific and neural computing. J. Open Source Softw. 6(62): 3060 (2021) - [i1]Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck:
A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks. CoRR abs/2106.09445 (2021) - 2020
- [j2]Tianbai Xiao, Chang Liu, Kun Xu, Qingdong Cai:
A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows. J. Comput. Phys. 415: 109535 (2020)
2010 – 2019
- 2017
- [j1]Tianbai Xiao, Qingdong Cai, Kun Xu:
A well-balanced unified gas-kinetic scheme for multiscale flow transport under gravitational field. J. Comput. Phys. 332: 475-491 (2017)
Coauthor Index
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