3 papers
physics.flu-dyn2026
NeuralFVM: Neural-physics-based Finite Volume Method for Turbulent Flows Using the - Model
Tingkai Xue, Yu Jiao, Te Ba +9
In this work, we develop a neural-physics solver based on finite volume method (FVM), namely NeuralFVM, for turbulent flows by implementing the standard - model designed for…
physics.soc-ph2025
CompARE: A Computational framework for Airborne Respiratory disease Evaluation integrating flow physics and human behavior
Fong Yew Leong, Jaeyoung Kwak, Zhengwei Ge +7
The risk of indoor airborne transmission among co-located individuals is generally non-uniform, which remains a critical challenge for public health modelling. Thus, we present Com…
physics.comp-ph2025
Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations
Tingkai Xue, Chin Chun Ooi, Zhengwei Ge +3
Numerical simulations provide key insights into many physical, real-world problems. However, while these simulations are solved on a full 3D domain, most analysis only require a re…