Tianbai Xiao

According to our database, Tianbai Xiao authored at least 20 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Solving continuum and rarefied flows using differentiable programming.

Tianbai Xiao

J. Comput. Phys., 2025

2024

Research, Application and Future Prospect of Mode Decomposition in Fluid Mechanics.

Yun Long, Xi'an Guo, Tianbai Xiao

Symmetry, February, 2024

A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties.

Mingliang Zhong, Tianbai Xiao, Mathias J. Krause, Martin Frank, Stephan Simonis

J. Comput. Phys., 2024

An Efficient Explicit-Implicit Adaptive Method for Peridynamic Modelling of Quasi-Static Fracture Formation and Evolution.

Shiwei Hu, Tianbai Xiao, Mingshuo Han, Zuoxu Li, Erkan Oterkus, Selda Oterkus, Yonghao Zhang

CoRR, 2024

Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations.

Jae Yong Lee, Steffen Schotthöfer, Tianbai Xiao, Sebastian Krumscheid, Martin Frank

CoRR, 2024

2023

KiT-RT: An Extendable Framework for Radiative Transfer and Therapy.

Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao

ACM Trans. Math. Softw., December, 2023

A Flux Reconstruction Stochastic Galerkin Scheme for Hyperbolic Conservation Laws.

Tianbai Xiao, Jonas Kusch, Julian Koellermeier, Martin Frank

J. Sci. Comput., April, 2023

Predicting continuum breakdown with deep neural networks.

Tianbai Xiao, Steffen Schotthöfer, Martin Frank

J. Comput. Phys., 2023

RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator.

Tianbai Xiao, Martin Frank

J. Comput. Phys., 2023

2022

A Well-Balanced Unified Gas-Kinetic Scheme for Multicomponent Flows under External Force Field.

Tianbai Xiao

Entropy, 2022

Neural network-based, structure-preserving entropy closures for the Boltzmann moment system.

Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck

CoRR, 2022

Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation.

Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck

Proceedings of the International Conference on Machine Learning, 2022

2021

Kinetic.jl: A portable finite volume toolbox for scientific and neural computing.

Tianbai Xiao

J. Open Source Softw., 2021

Using neural networks to accelerate the solution of the Boltzmann equation.

Tianbai Xiao, Martin Frank

J. Comput. Phys., 2021

A stochastic kinetic scheme for multi-scale flow transport with uncertainty quantification.

Tianbai Xiao, Martin Frank

J. Comput. Phys., 2021

A stochastic kinetic scheme for multi-scale plasma transport with uncertainty quantification.

Tianbai Xiao, Martin Frank

J. Comput. Phys., 2021

A flux reconstruction kinetic scheme for the Boltzmann equation.

Tianbai Xiao

J. Comput. Phys., 2021

A structure-preserving surrogate model for the closure of the moment system of the Boltzmann equation using convex deep neural networks.

Steffen Schotthöfer, Tianbai Xiao, Martin Frank, Cory D. Hauck

CoRR, 2021

2020

A velocity-space adaptive unified gas kinetic scheme for continuum and rarefied flows.

Tianbai Xiao, Chang Liu, Kun Xu, Qingdong Cai

J. Comput. Phys., 2020

2017

A well-balanced unified gas-kinetic scheme for multiscale flow transport under gravitational field.

Tianbai Xiao, Qingdong Cai, Kun Xu

J. Comput. Phys., 2017