$$
\varsigma~Trending~Now~\jmath
$$
A data-driven approach to real-time reconstruction of turbulent flow fields above a coarse-grain bed using sparse observational boundary data
<aside> <img src="/icons/duck_yellow.svg" alt="/icons/duck_yellow.svg" width="40px" />
Highlights:
✅ Boundary-to-field reconstruction: infer domain-wide turbulence using only upstream boundary profiles (sparse observations).
✅ Model: a CNN autoencoder architecture with a physics-informed training strategy.
✅ What we reconstruct: velocity components and turbulent kinetic energy (TKE) in a 100 mm × 100 mm region above a rough bed -- in real time.
✅ Key results: strong performance for horizontal/total velocity, with time-averaging further reducing errors; vertical velocity and high-TKE regions remain more challenging.
✅ Robustness: generally stable and consistent performance under different levels of incomplete/corrupted inputs.
</aside>
🎉 A good way to kickstart the New Year! Thanks to our coauthors: Yushu Xie, Julia Mullarney, and Dong Shao.
7 - 11 December 2025, Durham
<aside> <img src="/icons/exclamation-mark_yellow.svg" alt="/icons/exclamation-mark_yellow.svg" width="40px" />
Wuhan University and Durham University will establish a Joint Institute for cooperative dual-degree undergraduate programs. This JI will start student admission from September 2026, initially covering 6 bachelor programs, primarily based at WHU, and potentially providing students “3+1” option to study at DU for a year.
It is an honour to join the WHU delegation with our president, Prof Pingwen Zhang, and colleagues from other five schools and the International Office. We look forward to finalise the details and kickstarting the JI as soon as possible.
</aside>
3 - 5 December 2025 (Online)