8 citations · 9 across the 4 of their papers we have counts for
5 papers
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…
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…
Hybrid Quantum Physics-informed Neural Network: Towards Efficient Learning of High-speed Flows
Fong Yew Leong, Wei-Bin Ewe, Tran Si Bui Quang +2
This study benchmarks hybrid quantum physics-informed neural network (HQPINN) to model high-speed flows, compared against classical physics-informed neural networks (PINNs) and ful…
Solving Fractional Differential Equations on a Quantum Computer: A Variational Approach
Fong Yew Leong, Dax Enshan Koh, Jian Feng Kong +6
We introduce an efficient variational hybrid quantum-classical algorithm designed for solving Caputo time-fractional partial differential equations. Our method employs an iterable…
Variational Quantum Simulation of Partial Differential Equations: Applications in Colloidal Transport
Fong Yew Leong, Dax Enshan Koh, Wei-Bin Ewe +1
We assess the use of variational quantum imaginary time evolution for solving partial differential equations. Our results demonstrate that real-amplitude ansaetze with full circula…