1 code implementation • 6 Dec 2023 • Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong
Physics-informed neural networks (PINNs) are at the forefront of scientific machine learning, making possible the creation of machine intelligence that is cognizant of physical laws and able to accurately simulate them.
no code implementations • 1 Feb 2023 • Jian Cheng Wong, Chin Chun Ooi, Joyjit Chattoraj, Lucas Lestandi, Guoying Dong, Umesh Kizhakkinan, David William Rosen, Mark Hyunpong Jhon, My Ha Dao
Computational Intelligence (CI) techniques have shown great potential as a surrogate model of expensive physics simulation, with demonstrated ability to make fast predictions, albeit at the expense of accuracy in some cases.
no code implementations • 24 Nov 2022 • Kong Yuan Ho, Chin Seng Lim, Matthena A. Kattar, Bharathi Boppana, Liya Yu, Chin Chun Ooi
Traffic emissions are known to contribute significantly to air pollution around the world, especially in heavily urbanized cities such as Singapore.
no code implementations • 24 Nov 2022 • Jordon Kho, Winston Koh, Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi
Thus, we investigate the use of physics-informed neural networks as a tool to infer key parameters in reaction-diffusion systems in the steady-state for scientific discovery or design.
no code implementations • 22 Nov 2022 • Jian Cheng Wong, Pao-Hsiung Chiu, Chin Chun Ooi, My Ha Da
Physics-Informed Neural Networks (PINNs) have been shown to be an effective way of incorporating physics-based domain knowledge into neural network models for many important real-world systems.
no code implementations • 22 Nov 2022 • Shi Jer Low, Venugopalan, S. G. Raghavan, Harish Gopalan, Jian Cheng Wong, Justin Yeoh, Chin Chun Ooi
Hence, it can be beneficial to urban planners to have a fast surrogate model to predict urban characteristics of a hypothetical layout, e. g. pedestrian-level wind velocity, without having to run computationally expensive and time-consuming high-fidelity numerical simulations.
no code implementations • 9 Dec 2021 • Nigel Yuan Yun Ng, Harish Gopalan, Venugopalan S. G. Raghavan, Chin Chun Ooi
Weather Research and Forecasting (WRF) model is run in both global and regional mode to provide an estimate for solar irradiance.
no code implementations • 11 May 2021 • Quang Tuyen Le, Pao-Hsiung Chiu, Chin Chun Ooi
The surrogate model is fast, easy to set-up and can be used to predict and assess the flow velocity and pressure fields across the domain for new designs of interest via the input of a geometry-encoding matrix.
no code implementations • 9 May 2021 • Quang Tuyen Le, Chin Chun Ooi
Algebraic or geometric multigrid methods are commonly used in numerical solvers as they are a multi-resolution method able to handle problems with multiple scales.