Publications (35)
A class of new high-order finite-volume TENO schemes for hyperbolic conservation laws with unstructured meshes
Zhe Ji, Tian Liang, Lin Fu
The recently proposed high-order TENO scheme [Fu et al., Journal of Computational Physics, 305, pp.333-359] has shown great potential in predicting complex fluids owing to the nove…
A Consistent Parallel Isotropic Unstructured Mesh Generation Method based on Multi-phase SPH
Zhe Ji, Lin Fu, Xiangyu Hu +1
In this paper, we propose a consistent parallel unstructured mesh generator based on a multi-phase SPH method. A set of physics-motivated modeling equations are developed to achiev…
A Lagrangian Inertial Centroidal Voronoi Particle method for dynamic load balancing in particle-based simulations
Zhe Ji, Lin Fu, Xiangyu Y. Hu +1
In this paper we develop a Lagrangian Inertial Centroidal Voronoi Particle (LICVP) method to extend the original CVP method \cite{fu2017physics} to dynamic load balancing in partic…
Sci-VBench: Evaluating Knowledge- and Reasoning-Intensive Video Generation in Science Domains
Diandian Zhang, Tingyu Song, Lin Fu +2
We introduce Sci-VBench, a comprehensive benchmark for evaluating knowledge- and reasoning-intensive video generation across scientific domains. It contains 1,253 expert-annotated…
A six-point neuron-based ENO (NENO6) scheme for compressible fluid dynamics
Yue Li, Lin Fu, Nikolaus A. Adams
In this work, we introduce a deep artificial neural network (ANN) that can detect locations of discontinuity and build a six-point ENO-type scheme based on a set of smooth and disc…
TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction
Chengye Wang, Lin Fu, Zexi Kuang +1
Existing document OCR largely targets plain text or Markdown, discarding the structural and executable properties that make LaTeX essential for scientific publishing. We study page…
Multiscale Cross-Modal Mapping of Molecular, Pathologic, and Radiologic Phenotypes in Lipid-Deficient Clear Cell Renal CellCarcinoma
Ying Cui, Dongzhe Zheng, Ke Yu +8
Clear cell renal cell carcinoma (ccRCC) exhibits extensive intratumoral heterogeneity on multiple biological scales, contributing to variable clinical outcomes and limiting the eff…
A hierarchical approach to deep learning and its application to tomographic reconstruction
Lin Fu, Bruno De Man
Deep learning (DL) has shown unprecedented performance for many image analysis and image enhancement tasks. Yet, solving large-scale inverse problems like tomographic reconstructio…
Near-wall model for compressible turbulent boundary layers based on an inverse velocity transformation
Kevin Patrick Griffin, Lin Fu, Parviz Moin
In this work, a near-wall model, which couples the inverse of a recently developed compressible velocity transformation [Griffin, Fu, & Moin, PNAS, 118:34, 2021] and an algebraic t…
Multi-level adaptive particle refinement method with large refinement scale ratio and new free-surface detection algorithm for complex fluid-structure interaction problems
Tianrun Gao, Huihe Qiu, Lin Fu
Fluid-Structure Interaction (FSI) is a crucial problem in ocean engineering. The smoothed particle hydrodynamics (SPH) method has been employed recently for FSI problems in light o…
Shock-induced heating and transition to turbulence in a hypersonic boundary layer
Lin Fu, Michael Karp, Sanjeeb T. Bose +2
The interaction between an incident shock wave and a Mach-6 undisturbed hypersonic laminar boundary layer over a cold wall is addressed using direct numerical simulations (DNS) and…
A new ODE-based turbulence wall model accounting for pressure gradient and Reynolds number effects
Kevin Patrick Griffin, Lin Fu
In wall-modeled large-eddy simulations (WMLES), the near-wall model plays a significant role in predicting the skin friction, although the majority of the boundary layer is resolve…
A resolvent-based prediction framework for incompressible turbulent channel flow with limited measurements
Anjia Ying, Tian Liang, Zhigang Li +1
A new resolvent-based method is developed to predict the space-time properties of the flow field. To overcome the deterioration of the prediction accuracy with the increasing dista…
A new smoothed particle hydrodynamics method based on high-order moving-least-square targeted essentially non-oscillatory scheme for compressible flows
Tianrun Gao, Tian Liang, Lin Fu
In this study, we establish a hybrid high-order smoothed particle hydrodynamics (SPH) framework (MLS-TENO-SPH) for compressible flows with discontinuities, which is able to achieve…
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding
Lin Fu, Zheyuan Yang, Yang Wang +3
We introduce VideoKR, the first large-scale training corpus specifically designed to strengthen knowledge- and reasoning-intensive video understanding. It comprises 315K video reas…
Assembly of hard spheres in a cylinder: a computational and experimental study
Lin Fu, Ce Bian, C. Wyatt Shields +3
Hard spheres are an important benchmark of our understanding of natural and synthetic systems. In this work, colloidal experiments and Monte Carlo simulations examine the equilibri…
Consistency between the attached-eddy model and the inner-outer interaction model: a study of streamwise wall-shear stress fluctuations in a turbulent channel flow
Cheng Cheng, Lin Fu
The inner-outer interaction model (Marusic, Mathis & Hutchins, Science, vol. 329, 2010, 193-196) and the attached-eddy model (Townsend, Cambridge University Press, 1976) are two fu…
A Feature-aware SPH for Isotropic Unstructured Mesh Generation
Zhe Ji, Lin Fu, Xiangyu Hu +1
In this paper, we present a feature-aware SPH method for the concurrent and automated isotropic unstructured mesh generation. Two additional objectives are achieved with the propos…
Prediction of aerothermal characteristics of a generic hypersonic inlet flow
Lin Fu, Sanjeeb Bose, Parviz Moin
The accurate prediction of aerothermal surface loading is of paramount importance for the design of high speed flight vehicles. In this work, we consider the numerical solution of…
A scale-based study of the Reynolds number scaling for the near-wall streamwise turbulence intensity in wall turbulence
Cheng Cheng, Lin Fu
Very recently, a defect model which depicts the growth tendency of the near-wall peak of the streamwise turbulence intensity has been developed (Chen Sreenivasan, J. Fluid Mec…
Phase Transformations in Binary Colloidal Monolayers
Ye Yang, Lin Fu, Catherine Marcoux +3
Phase transformations can be difficult to characterize at the microscopic level due to the inability to directly observe individual atomic motions. Model colloidal systems, by cont…
Glassy, Gardner-like Phenomenology in Minimally Polydisperse Crystalline Systems
Patrick Charbonneau, Eric I. Corwin, Lin Fu +2
We report on a non-equilibrium phase of matter, the minimally disordered crystal phase, which we find exists between the maximally amorphous glasses and the ideal crystal. Even tho…
Correlation lengths in quasi-one-dimensional systems via transfer matrices
Yi Hu, Lin Fu, Patrick Charbonneau
Using transfer matrices up to next-nearest-neighbour (NNN) interactions, we examine the structural correlations of quasi-one-dimensional systems of hard disks confined by two paral…
Hard sphere packings within cylinders
Lin Fu, William Steinhardt, Hao Zhao +2
The packing of hard spheres (HS) of diameter in a cylinder has been used to model experimental systems, such as fullerenes in nanotubes and colloidal wire assembly. Finding th…
Velocity transformation for compressible wall-bounded turbulent flows with and without heat transfer
Kevin Patrick Griffin, Lin Fu, Parviz Moin
In this work, a transformation, which maps the mean velocity profiles of compressible wall-bounded turbulent flows to the incompressible law of the wall is proposed. Unlike existin…
General method for determining the boundary layer thickness in nonequilibrium flows
Kevin Patrick Griffin, Lin Fu, Parviz Moin
While the computation of the boundary-layer thickness is straightforward for canonical equilibrium flows, there are no established definitions for general non-equilibrium flows. In…
Large-scale motions and self-similar structures in compressible turbulent channel flows
Cheng Cheng, Lin Fu
In this work, we study the scale characteristics of the log- and outer-region motions and structures in subsonic and supersonic turbulence. To this end, a series of direct numerica…
Very-high-order TENO schemes with adaptive accuracy order and adaptive dissipation control
Lin Fu
In this paper, a new family of very-high-order TENO schemes with adaptive accuracy order and adaptive dissipation control (TENO-AA) is proposed. The new framework allows for constr…
Time-Accurate and highly-Stable Explicit operators for stiff differential equations
Maxime Bassenne, Lin Fu, Ali Mani
Unconditionally stable implicit time-marching methods are powerful in solving stiff differential equations efficiently. In this work, a novel framework to handle stiff physical ter…
A Block-based Adaptive Particle Refinement SPH Method for Fluid-Structure Interaction Problems
Tianrun Gao, Huihe Qiu, Lin Fu
The multi-resolution method, e.g., the Adaptive Particle Refinement (APR) method, has been developed to increase the local particle resolution and therefore the solution quality wi…
A low-dissipation shock-capturing framework with flexible nonlinear dissipation control
Yue Li, Lin Fu, Nikolaus A. Adams
In this work, a framework to construct arbitrarily high-order low-dissipation shock-capturing schemes with flexible and controllable nonlinear dissipation for convection-dominated…
Streamwise inclination angle of wall-attached eddies in turbulent channel flows
Cheng Cheng, Wei Shyy, Lin Fu
We develop a new methodology to assess the streamwise inclination angles (SIAs) of the wall-attached eddies populating the logarithmic region with a given wall-normal height. To re…
A five-point TENO scheme with adaptive dissipation based on a new scale sensor
Haohan Huang, Tian Liang, Lin Fu
In this paper, a new five-point targeted essentially non-oscillatory (TENO) scheme with adaptive dissipation is proposed. With the standard TENO weighting strategy, the cut-off par…
Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac CT
Amirkoushyar Ziabari, Dong Hye Ye, Lin Fu +4
With the recent introduction of CT scanners with large cone angles, wide coverage detectors now provide a desirable scanning platform for cardiac CT that allows whole heart imaging…
Compressible Velocity Transformations for Various Noncanonical Wall-Bounded Turbulent Flows
Tianyi Bai, Kevin P. Griffin, Lin Fu
This work assesses several popular transformations for the velocity profile through their application to several types of non-canonical compressible wall-bounded turbulent flows. S…