Prof. Lin Fu 傅林 @HKUST

440 posts

Prof. Lin Fu 傅林 @HKUST banner
Prof. Lin Fu 傅林 @HKUST

Prof. Lin Fu 傅林 @HKUST

@linf1017

Computational fluid dynamics and fluid mechanics. Ph.D. from the Technical University of Munich. Postdoc from CTR, Stanford University. Editorial board of PRF.

HKUST, Hong Kong Katılım Haziran 2017
3.7K Takip Edilen3.5K Takipçiler
Sabitlenmiş Tweet
Prof. Lin Fu 傅林 @HKUST
Prof. Lin Fu 傅林 @HKUST@linf1017·
Animation of compressible isotropic turbulence decay computed by high-order TENO scheme, I developed.
English
2
14
87
0
Prof. Lin Fu 傅林 @HKUST retweetledi
HKUST
HKUST@hkust·
11 HKUST Subjects Ranked Among World's Top 50 in QS Subject Rankings 2026 In the latest QS World University Rankings by Subject 2026, 11 subjects at HKUST are ranked in the top 50 globally. Among them, 3 subjects are placed in the global top 30, including Data Science and Artificial Intelligence, which ranks 25th worldwide — a standout achievement for the University. The other two are Engineering - Civil and Structural (27th) and Business and Management Studies (30th). Demonstrating strength in key disciplines, our No. 1 in Hong Kong rankings include: 🏅 Business and Management Studies 🏅 Statistics and Operational Research As HKUST continues to advance across teaching, research, and knowledge transfer, it is further strengthening its global impact and competitiveness while expanding opportunities for interdisciplinary learning and international collaboration. Learn more about HKUST rankings: hkust.edu.hk/about/ranking #HKUST #HKUST35 #QSWorldUniversityRankingsbySubject #SubjectRankings #HigherEducation #AcademicExcellence
English
0
2
3
327
Prof. Lin Fu 傅林 @HKUST retweetledi
Physical Review Fluids
Physical Review Fluids@PhysRevFluids·
🚨 Next PRFluids Journal Club: author Christian Reartes discusses the paper "Extreme vertical drafts as drivers of Lagrangian dispersion in stably stratified turbulent flows" 🕒 March 24, 12 p.m. ET. Read ahead: go.aps.org/4poLQHm Registration: go.aps.org/46QNX0g
Physical Review Fluids tweet media
English
0
2
9
1.4K
Prof. Lin Fu 傅林 @HKUST retweetledi
Physical Review Fluids
Physical Review Fluids@PhysRevFluids·
To celebrate 10 years of PRFluids, we're revisiting exceptional papers from the journal. In the first #PRF10 Author Reflections video, Prof. Steve Brunton discusses the motivation, key findings, and impact of one of their Phys. Rev. Fluids papers. youtube.com/watch?v=loebSU…
YouTube video
YouTube
English
1
6
16
1.4K
Prof. Lin Fu 傅林 @HKUST
15 years ago, when I was a master student, I was wondering if I can have my own CFD code with my own numerics and turbulence model. In our latest paper in JCP, a new CFD solver with our own TENO and WMLES method is proposed: researchgate.net/publication/40…
English
0
2
12
533
Prof. Lin Fu 傅林 @HKUST retweetledi
Math Cafe
Math Cafe@Riazi_Cafe_en·
NASA's An Introduction to Tensors for Students of Physics and Engineering by Joseph C. Kolecki PDF: grc.nasa.gov/WWW/k-12/Numbe…
Math Cafe tweet media
English
6
272
2.1K
70.9K
Prof. Lin Fu 傅林 @HKUST
Since the invention of Time–Accurate and highly–Stable Explicit (TASE) scheme by Maxime Bassenne et al. [JCP, 424 (2021): 109847], it has been popular in solving stiff PDEs and ODEs, we now provide a comprehensive review on the recent developments: researchgate.net/publication/39…
English
0
1
4
407
Prof. Lin Fu 傅林 @HKUST
In our latest paper in JFM, we introduced a new temperature transformation for compressible turbulent boundary layers with adiabatic and isothermal walls. The proposed transformation maps the mean temperature profiles to the incompressible reference: researchgate.net/publication/39…
English
0
1
5
282
Prof. Lin Fu 傅林 @HKUST
In our new JCP paper collaborated with Prof. Yanglong Lu, a novel physics-informed deep learning framework, called sparse finite-volume informed U-net (SFVnet), is developed to predict compressible flow fields with sparse data under ill-conditions: researchgate.net/publication/39…
English
0
0
3
296
Prof. Lin Fu 傅林 @HKUST
I am glad to see that the citation of first high-order TENO scheme paper has reached 500. This is my first paper during my PhD. I hope that it will be helpful for DNS and LES of compressible turbulent flows.
Prof. Lin Fu 傅林 @HKUST tweet media
English
0
2
12
498
Prof. Lin Fu 傅林 @HKUST
In our latest JCP paper, a general smoothed particle-mesh hydrodynamics (SPMH) method is developed for fluid-structure interaction (FSI), particularly for those involving thin structures. SPMH shows higher accuracy than the previous SPH method. researchgate.net/publication/39…
English
0
1
4
227
Prof. Lin Fu 傅林 @HKUST
I am glad to join European Journal of Mechanics - B/Fluids as an associate editor, I look forward to serving this community.
Prof. Lin Fu 傅林 @HKUST tweet media
English
0
1
6
354
Prof. Lin Fu 傅林 @HKUST
Physical Review Journal Club is back with a discussion with author Blaise Delmotte, presenting their published Physical Review Fluids article "Modeling complex particle suspensions: Perspectives on the rigid multiblob method". Free registration: apsphysics.zoom.us/meeting/regist…
English
0
1
3
418
Prof. Lin Fu 傅林 @HKUST
Happy to receive University Faculty recognition award with my advisor, my family and my students.
Prof. Lin Fu 傅林 @HKUST tweet mediaProf. Lin Fu 傅林 @HKUST tweet mediaProf. Lin Fu 傅林 @HKUST tweet mediaProf. Lin Fu 傅林 @HKUST tweet media
English
0
0
4
484
Prof. Lin Fu 傅林 @HKUST retweetledi
The Nobel Prize
The Nobel Prize@NobelPrize·
Tu Youyou discovered a substance called artemisinin, which can be used to treat malaria. Tu not only found a way to extract artemisinin from a traditional Chinese medicine, she also tested the new drug on herself to speed up the time needed for development. Her discovery led to development of a new drug that has saved the lives of millions of people. Learn more: bit.ly/2X17ODo
The Nobel Prize tweet media
English
74
305
1.5K
93.4K
Prof. Lin Fu 傅林 @HKUST
In this paper published in Computers and Fluids, we extended our previous improved Baldwin-Lomax Turbulence Model (JFM, 987 (2024): A7) for hypersonic flows from 2D to real 3D complex cases, making it useful in practical applications: researchgate.net/publication/39…
English
0
1
4
312
Prof. Lin Fu 傅林 @HKUST
Our paper in Journal of Fluid Mechanics, for the first time, we derive the analytical temperature-velocity relation for laminar adiabatic and diabatic hypersonic boundary layers, which is crucial for wall modeling but never been achieved before: researchgate.net/publication/39…
English
0
1
2
263