HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows
Regular Papers|Updated:2026-01-07
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HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows
Enhanced Publication
HADF:面向湍流重构的哈希自适应双融合隐式网络
“In the field of fluid dynamics, a breakthrough has been made in reconstructing high-fidelity turbulence flow representations from sparse measurements. Expert researchers developed the HADF system, which provides solutions to address the challenges of high computational costs and limitations in multi-scale reconstruction.”
Frontiers of Information Technology & Electronic EngineeringVol. 26, Issue 11, Pages: 2159-2175(2025)
Affiliations:
1.National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, Changsha 410073, China
2.Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, Changsha 410073, China
3.College of Computer Science and Technology, National University of Defense Technology, Changsha 410073, China
Yunfei LIU, Xinhai CHEN, Gen ZHANG, et al. HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2159-2175.
DOI:
Yunfei LIU, Xinhai CHEN, Gen ZHANG, et al. HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flows[J]. Frontiers of Information Technology & Electronic Engineering, 2025, 26(11): 2159-2175. DOI: 10.1631/FITEE.2500419.
HADF: a hash-adaptive dual fusion implicit network for super-resolution of turbulent flowsEnhanced Publication