3 papers
physics.flu-dyn2025
Quantum machine learning for efficient reduced order modelling of turbulent flows
Han Li, Yutong Lou, Dunhui Xiao
Accurately predicting turbulent flows remains a central challenge in fluid dynamics due to their high dimensionality and intrinsic nonlinearity. Recent developments in quantum algo…
cs.LG2025
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng, Marc Bocquet, Weiping Ding +20
Unstructured grid data are essential for modelling complex geometries and dynamics in computational physics. Yet, their inherent irregularity presents significant challenges for co…
cs.CE2023
An Intrinsic Integrity-Driven Rating Model for a Sustainable Reputation System
H. Wen, T. Huang, D. Xiao
In the era of digital markets, the challenge for consumers is discerning quality amidst information asymmetry. While traditional markets use brand mechanisms to address this issue,…