3 papers
math.NA2024
Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
Seung Whan Chung, Youngsoo Choi, Pratanu Roy +6
Computational physics simulation can be a powerful tool to accelerate industry deployment of new scientific technologies. However, it must address the challenge of computationally…
math.NA2024
Scaled-up prediction of steady Navier-Stokes equation with component reduced order modeling
Seung Whan Chung, Youngsoo Choi, Pratanu Roy +6
Scaling up new scientific technologies from laboratory to industry often involves demonstrating performance on a larger scale. Computer simulations can accelerate design and predic…
cs.LG2024
Exact Enforcement of Temporal Continuity in Sequential Physics-Informed Neural Networks
Pratanu Roy, Stephen Castonguay
The use of deep learning methods in scientific computing represents a potential paradigm shift in engineering problem solving. One of the most prominent developments is Physics-Inf…