The DOI matches its Crossref record; 32 of the 37 references it cites were found in a registry or an index.
Predictive-corrective incompressible SPH
Open accessAbstract
We present a novel, incompressible fluid simulation method based on the Lagrangian Smoothed Particle Hydrodynamics (SPH) model. In our method, incompressibility is enforced by using a prediction-correction scheme to determine the particle pressures. For this, the information about density fluctuations is actively propagated through the fluid and pressure values are updated until the targeted density is satisfied. With this approach, we avoid the computational expenses of solving a pressure Poisson equation, while still being able to use large time steps in the simulation. The achieved results show that our predictive-corrective incompressible SPH (PCISPH) method clearly outperforms the commonly used weakly compressible SPH (WCSPH) model by more than an order of magnitude while the computations are in good agreement with the WCSPH results.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
An Introduction to Fluid Dynamics
Batchelor, G. K. (2000) · doi:10.1017/cbo9780511800955 · Cited by 12,360
Smoothed Particle Hydrodynamics
Monaghan, J. J. (1992) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.astro.30.1.543 · Cited by 5,183
Smoothed particle hydrodynamics
Monaghan, J. J. (2005) · Reports on Progress in Physics · doi:10.1088/0034-4885/68/8/r01 · Cited by 2,770
On the Partial Difference Equations of Mathematical Physics
Courant, R., Friedrichs, K. O., & Lewy, H. (1967) · IBM Journal of Research and Development · doi:10.1147/rd.112.0215 · Cited by 2,513
On the Partial Difference Equations of Mathematical Physics
Courant, R., Friedrichs, K. O., & Lewy, H. (2002) · Birkhäuser Boston eBooks · doi:10.1007/978-1-4612-2080-0_6 · Cited by 1,353
Particle-Based Fluid Simulation for Interactive Applications
Müller, M., Charypar, D., & Groß, M. H. (2003) · doi:10.2312/sca03/154-159 · Cited by 1,000
Cummins, S. J., & Rudman, M. J. (1999) · Journal of Computational Physics · doi:10.1006/jcph.1999.6246 · Cited by 902
Zhu, Y., & Bridson, R. (2005) · ACM Transactions on Graphics · doi:10.1145/1073204.1073298 · Cited by 654
Proceedings of Eurographics 79
Bramer, B. (1980) · Advances in Engineering Software (1978) · doi:10.1016/0141-1195(80)90022-4 · Cited by 631
Animation and rendering of complex water surfaces
Enright, D. P., Marschner, S. R., & Fedkiw, R. P. (2002) · ACM SIGGRAPH Annual Conference on Computer Graphics and Interactive Techniques (SIGGRAPH) · doi:10.1145/566570.566645 · Cited by 524
Flagged first, then by citations
5 of the 37 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 358
Advanced Hybrid Particle‐Grid Method with Sub‐Grid Particle Correction
Um, K., Baek, S., & Han, J. (2014) · Computer Graphics Forum · doi:10.1111/cgf.12489 · Cited by 20
A micropolar material model for turbulent SPH fluids
Bender, J., Koschier, D., Kugelstadt, T., & Weiler, M. (2017) · ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) · doi:10.1145/3099564.3099578 · Cited by 20
An Efficient Hybrid Incompressible SPH Solver with Interface Handling for Boundary Conditions
Takahashi, T., Dobashi, Y., Nishita, T., & Lin, M. C. (2017) · Computer Graphics Forum · doi:10.1111/cgf.13292 · Cited by 20
Continuous-Scale Kinetic Fluid Simulation
Li, W., Bai, K., & Liu, X. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2859931 · Cited by 20
A Lagrangian framework for simulating granular material with high detail
Ihmsen, M., Wahl, A., & Teschner, M. (2013) · Computers & Graphics · doi:10.1016/j.cag.2013.04.010 · Cited by 20
Incompressible SPH using the Divergence‐Free Condition
Kang, N., & Sagong, D. (2014) · Computer Graphics Forum · doi:10.1111/cgf.12490 · Cited by 20
Rapid Simulation of 3D Liquid Sloshing in the Lunar Soft-Landing Spacecraft
Yu, Q., Wang, T., & Li, Z. (2019) · AIAA Journal · doi:10.2514/1.j058160 · Cited by 19
Modelling of Eulerian incompressible fluid flows by using peridynamic differential operator
Nguyen, C. T., Oterkus, S., Oterkus, E., Amin, I., Ozdemir, M., El‐Aassar, A. H. M., & Shawky, H. A. (2021) · Ocean Engineering · doi:10.1016/j.oceaneng.2021.109815 · Cited by 19
Adaptive cloud simulation using position based fluids
Barbosa, C. W. F., Dobashi, Y., & Yamamoto, T. (2015) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1657 · Cited by 19
Self-refining games using player analytics
Stanton, M., Humberston, B., Kase, B., O’Brien, J. F., Fatahalian, K., & Treuille, A. (2014) · ACM Transactions on Graphics · doi:10.1145/2601097.2601196 · Cited by 19
Baroclinic Turbulence with Varying Density and Temperature
Kim, D., Lee, S.-W., Song, O.-Y., & Ko, H. (2011) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2011.264 · Cited by 19
Incorporating stochastic turbulence in particle-based fluid simulation
Yuan, Z., Zhao, Y., & Chen, F. (2011) · The Visual Computer · doi:10.1007/s00371-011-0626-3 · Cited by 19
Peng, C., Bauinger, C., Szewc, K., Wu, W., & Cao, H. (2019) · Journal of Hydrodynamics · doi:10.1007/s42241-019-0058-5 · Cited by 19
Consistent surface model for SPH-based fluid transport
Orthmann, J., Hochstetter, H., Bader, J., Bayraktar, S., & Kolb, A. (2013) · ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) · doi:10.1145/2485895.2485902 · Cited by 19
Stable and Fast Fluid–Solid Coupling for Incompressible SPH
Shao, X., Zhou, Z., Magnenat‐Thalmann, N., & Wu, W. (2014) · Computer Graphics Forum · doi:10.1111/cgf.12467 · Cited by 18
FluidsNet: End-to-end learning for Lagrangian fluid simulation
Zhang, Y., Ban, X., Du, F., & Wu, D. (2020) · Expert Systems with Applications · doi:10.1016/j.eswa.2020.113410 · Cited by 17
GPU-accelerated SPH fluids surface reconstruction using two-level spatial uniform grids
Wu, W. J., Li, H., Su, T., Liu, H., & Lv, Z. (2016) · The Visual Computer · doi:10.1007/s00371-016-1289-x · Cited by 17
Takahashi, T., Nishita, T., & Fujishiro, I. (2014) · Computers & Graphics · doi:10.1016/j.cag.2014.06.002 · Cited by 16
High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows
Li, W., Wang, T., Pan, Z., Gao, X., Wu, K., & Desbrun, M. (2023) · ACM Transactions on Graphics · doi:10.1145/3618341 · Cited by 15
A Prediction-correction approach for stable SPH fluid simulation from liquid to rigid
Dagenais, F., Gagnon, J., & Paquette, E. (2012) · Cited by 15
Real-time high-quality surface rendering for large scale particle-based fluids
Xiao, X., Zhang, S., & Yang, X. (2017) · ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) · doi:10.1145/3023368.3023377 · Cited by 15
A Divergence‐free Mixture Model for Multiphase Fluids
Jiang, Y., Li, C., Deng, S., & Hu, S. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14102 · Cited by 15
Huang, J.-B., Liu, F., Richter, F., & Yip, M. C. (2021) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra48506.2021.9561624 · Cited by 15
Ferrario, A., Palyanov, A. Y., Koutsikou, S., Li, W., Soffe, S. R., Roberts, A., & Borisyuk, R. M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009654 · Cited by 16
Boundary handling and porous flow for fluid–hair interactions
Lin, W.-C. (2015) · Computers & Graphics · doi:10.1016/j.cag.2015.06.005 · Cited by 15
Zhang, S., Yang, X., Wu, Z., & Liu, H. (2015) · ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) · doi:10.1145/2699276.2699287 · Cited by 15
An Efficient Surface Reconstruction Pipeline for Particle-Based Fluids
Akinci, G., Akinci, N., Ihmsen, M., & Teschner, M. (2012) · Eurographics · doi:10.2312/pe/vriphys/vriphys12/061-068 · Cited by 15
Shao, X., Zhou, Z., Zhang, J., & Wu, W. (2014) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1607 · Cited by 14
A new approach to boiling simulation using a discrete particle based method
Prakash, M., Cleary, P. W., Pyo, S. H., & Woolard, F. (2015) · Computers & Graphics · doi:10.1016/j.cag.2015.08.010 · Cited by 14
Real-Time Incompressible Fluid Simulation on the GPU
Nie, X. B., Chen, L., & Xiang, T. (2015) · International Journal of Computer Games Technology · doi:10.1155/2015/417417 · Cited by 14
Fluid Simulation with Adaptive Staggered Power Particles on GPUs
Zhai, X., Hou, F., Qin, H., & Hao, A. (2018) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2018.2886322 · Cited by 14
Visual Simulation of Multiple Fluids in Computer Graphics: A State-of-the-Art Report
Ren, B., Yang, X., Lin, M. C., Thuerey, N., Teschner, M., & Li, C. (2018) · Journal of Computer Science and Technology · doi:10.1007/s11390-018-1829-0 · Cited by 14
Consistent shepard interpolation for SPH-based fluid animation
Reinhardt, S., Krake, T., Eberhardt, B., & Weiskopf, D. (2019) · ACM Transactions on Graphics · doi:10.1145/3355089.3356503 · Cited by 14
Unified particle system for multiple-fluid flow and porous material
Ren, B., Xu, B. L., & Li, C. (2021) · ACM Transactions on Graphics · doi:10.1145/3450626.3459764 · Cited by 13
Fluid-Solid Coupling in Kinetic Two-Phase Flow Simulation
Li, W., & Desbrun, M. (2023) · ACM Transactions on Graphics · doi:10.1145/3592138 · Cited by 13
Regional Time Stepping for SPH
Goswami, P., & Batty, C. (2014) · doi:10.2312/egsh.20141011 · Cited by 13
DYVERSO: A Versatile Multi‐Phase Position‐Based Fluids Solution for VFX
Alduán, I., Tena, A., & Otaduy, M. Á. (2016) · Computer Graphics Forum · doi:10.1111/cgf.12992 · Cited by 13
A Multilevel SPH Solver with Unified Solid Boundary Handling
Takahashi, T., & Lin, M. C. (2016) · Computer Graphics Forum · doi:10.1111/cgf.13048 · Cited by 12
Efficient Smoke Simulation on Curvilinear Grids
Azevedo, V. C., & Oliveira, M. M. (2013) · Computer Graphics Forum · doi:10.1111/cgf.12231 · Cited by 12
Takahashi, T., Dobashi, Y., Fujishiro, I., & Nishita, T. (2014) · The Visual Computer · doi:10.1007/s00371-014-1055-x · Cited by 12
Mass-Conserving Eulerian Liquid Simulation
Chentanez, N., & Müller, M. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.19 · Cited by 12
Numerical simulation of weld pool dynamics using a SPH approach
Trautmann, M., Hertel, M., & Füssel, U. (2018) · Welding in the World · doi:10.1007/s40194-018-0615-5 · Cited by 12
An fast simulation tool for fluid animation in VR application based on GPUs
Zhang, F., Wei, Q., & Xu, L. (2019) · Multimedia Tools and Applications · doi:10.1007/s11042-019-08002-4 · Cited by 12
Particle hydrodynamic simulation of thrombus formation using velocity decay factor
Wang, F., Xu, S., Jiang, D., Zhao, B., Dong, X., Zhou, T., & Luo, X. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106173 · Cited by 12
Evaporation and condensation of SPH-based fluids
Hochstetter, H., & Kolb, A. (2017) · ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) · doi:10.1145/3099564.3099580 · Cited by 12
Adapted SIMPLE Algorithm for Incompressible SPH Fluids With a Broad Range Viscosity
Liu, S., He, X., Wang, W., & Wu, E. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3055789 · Cited by 11
Versatile interactions at interfaces for SPH-based simulations
Yang, T., Lin, M. C., Martin, R. R., Chang, J. M., & Hu, S. (2016) · ORCA Online Research @Cardiff (Cardiff University) · doi:10.5555/2982818.2982827 · Cited by 11
Köster, M., & Krüger, A. (2016) · International Journal of Computer Graphics & Animation · doi:10.5121/ijcga.2016.6301 · Cited by 11
Wang, X., Ban, X., Zhang, Y., Liu, S., & Ye, P. (2017) · Journal of Computer Science and Technology · doi:10.1007/s11390-017-1793-0 · Cited by 11
The reduced immersed method for real-time fluid-elastic solid interaction and contact simulation
Brandt, C., Scandolo, L., Eisemann, E., & Hildebrandt, K. (2019) · ACM Transactions on Graphics · doi:10.1145/3355089.3356496 · Cited by 11
Dual-time smoothed particle hydrodynamics for incompressible fluid simulation
Ramachandran, P., Muta, A., & Ramakrishna, M. (2021) · Computers & Fluids · doi:10.1016/j.compfluid.2021.105031 · Cited by 11
Realistic paint simulation based on fluidity, diffusion, and absorption
You, M., Jang, T., Cha, S., Kim, J., & Noh, J. (2013) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1500 · Cited by 10
Geometry‐Aware Volume‐of‐Fluid Method
Cho, J., & Ko, H. (2013) · Computer Graphics Forum · doi:10.1111/cgf.12058 · Cited by 10
Zhang, Y., Correa, C. D., & Ma, K. (2011) · ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) · doi:10.1145/2019406.2019431 · Cited by 10
Real-time smoke simulation based on vorticity preserving lattice Boltzmann method
Wen, J., & Ma, H. (2018) · The Visual Computer · doi:10.1007/s00371-018-1514-x · Cited by 10
Turbulent Details Simulation for SPH Fluids via Vorticity Refinement
Liu, S., Wang, X., Ban, X., Xu, Y., Zhou, J. E., Kosinka, J., & Telea, A. C. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14095 · Cited by 10
Incompressibility Enforcement for Multiple-Fluid SPH Using Deformation Gradient
Ren, B., He, W., Li, C., & Chen, X. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3062643 · Cited by 10
A General Novel Parallel Framework for SPH-centric Algorithms
Huang, K., Ruan, J., Zipeng, Z., Li, C., Wang, C., & Qin, H. (2019) · Proceedings of the ACM on Computer Graphics and Interactive Techniques · doi:10.1145/3321360 · Cited by 10
A completely parallel surface reconstruction method for particle-based fluids
Yang, W., & Gao, C. (2020) · The Visual Computer · doi:10.1007/s00371-020-01898-2 · Cited by 10
Multimedia support from cloud computing: A review
Harnal, S., & Chauhan, R. (2016) · International Conference on Microelectronics, Computing and Communications · doi:10.1109/microcom.2016.7522440 · Cited by 9
Fire Sprite Animation Using Fire-Flake Texture and Artificial Motion Blur
Kim, J., & Lee, J. (2019) · IEEE Access · doi:10.1109/access.2019.2934163 · Cited by 9
Survey on Smoothed Particle Hydrodynamics and the Particle Systems
Xi, R., Luo, Z., Feng, D. D., Zhang, Y., Zhang, X., & Han, T. (2019) · IEEE Access · doi:10.1109/access.2019.2962082 · Cited by 9
Smoothed particle hydrodynamics simulation of biphasic soft tissue and its medical applications
Chang, Y.-J., Benharash, P., Dutson, E., & Eldredge, J. D. (2021) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-020-02283-w · Cited by 9
Haptic Interaction with Fluid Based on Smooth Particles and Finite Elements
Wang, Z., & Wang, Y. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-09144-0_56 · Cited by 9
A Dual-Particle Approach for Incompressible SPH Fluids
Liu, S., He, X., Guo, Y., Yue, C., & Wang, W. (2024) · ACM Transactions on Graphics · doi:10.1145/3649888 · Cited by 8
ISPH–PBD: coupled simulation of incompressible fluids and deformable bodies
Rumman, N. A., Nair, P. M., Müller, P., Barthe, L., & Vanderhaeghe, D. (2019) · The Visual Computer · doi:10.1007/s00371-019-01700-y · Cited by 8
Learning task outcome prediction for robot control from interactive environments
Haidu, A., Kohlsdorf, D., & Beetz, M. (2014) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2014.6943183 · Cited by 8
AMulti-GPU PCISPH Implementation with Efficient Memory Transfers
Verma, K., Peng, C., Szewc, K., & Wille, R. (2018) · IEEE High Performance Extreme Computing Conference · doi:10.1109/hpec.2018.8547542 · Cited by 8
Accelerating Liquid Simulation With an Improved Data‐Driven Method
Gao, Y., Zhang, Q., Li, S., Hao, A., & Qin, H. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14010 · Cited by 8
Semi‐analytical Solid Boundary Conditions for Free Surface Flows
Yue, C., Liu, S., He, X., Li, S., & Wang, G. (2020) · Computer Graphics Forum · doi:10.1111/cgf.14132 · Cited by 8
A Fully Lagrangian Advection Scheme
Bowman, J. C., Yassaei, M. A., & Basu, A. (2014) · Journal of Scientific Computing · doi:10.1007/s10915-014-9928-8 · Cited by 8
A Symmetry Particle Method towards Implicit Non‐Newtonian Fluids
Zhang, Y., Ban, X., Wang, X., & Liu, X. (2017) · Symmetry · doi:10.3390/sym9020026 · Cited by 8
Parallel SPH fluid control with dynamic details
Zhang, X., & Liu, S. (2018) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1801 · Cited by 8
Robust turbulence simulation for particle-based fluids using the Rankine vortex model
Wang, X., Liu, S., Ban, X., Xu, Y., Zhou, J. E., & Kosinka, J. (2020) · The Visual Computer · doi:10.1007/s00371-020-01914-5 · Cited by 8
A new SPH fluid simulation method using ellipsoidal kernels
Jo, E., Kim, D., & Song, O.-Y. (2011) · Journal of Visualization · doi:10.1007/s12650-011-0092-z · Cited by 7
Adaptively stepped SPH for fluid animation based on asynchronous time integration
Ban, X., Wang, X., He, L., Zhang, Y., & Wang, L. (2016) · Neural Computing and Applications · doi:10.1007/s00521-016-2286-8 · Cited by 7
Adaptive Surface Reconstruction for SPH using 3-Level Uniform Grids
Akinci, G., Akinci, N., Oswald, E., & Teschner, M. (2013) · Digital Library (University of West Bohemia) · Cited by 7
GPU-Accelerated Meshless CFD Methods for Solving Engineering Problems in the Automotive Industry
Szewc, K., Mangold, J., Bauinger, C., Schifko, M., & Peng, C. (2018) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2018-01-0492 · Cited by 7
Wang, F., Lin, S., Luo, X., & Wang, R. (2018) · IEEE Access · doi:10.1109/access.2018.2872420 · Cited by 7
A hybrid Eulerian-DFSPH scheme for efficient surface band liquid simulation
Roy, B., & Poulin, P. (2018) · Computers & Graphics · doi:10.1016/j.cag.2018.10.007 · Cited by 7
Simulation and control of breaking waves using an external force model
Brousset, M., Darles, E., Méneveaux, D., Poulin, P., & Crespin, B. (2016) · Computers & Graphics · doi:10.1016/j.cag.2016.03.003 · Cited by 7
Fluid Simulation by the Smoothed Particle Hydrodynamics Method: A Survey
Weaver, T., & Xiao, Z. (2016) · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) · doi:10.5220/0005673702130223 · Cited by 7
Parallel‐optimizing SPH fluid simulation for realistic VR environments
Huang, C., Zhu, J. L., Sun, H., & Wu, E. (2013) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1564 · Cited by 6
Palyanov, A. Y., & Khayrulin, S. (2015) · Russian Journal of Genetics Applied Research · doi:10.1134/s2079059715060052 · Cited by 6
Heat-based bidirectional phase shifting simulation using position-based dynamics
Villa, S., Larico, J. A. T., Torchelsen, R., Nedel, L., & Maciel, A. (2018) · Computers & Graphics · doi:10.1016/j.cag.2018.09.004 · Cited by 6
Narrow‐Band Screen‐Space Fluid Rendering
Oliveira, F., & Paiva, A. (2022) · Computer Graphics Forum · doi:10.1111/cgf.14510 · Cited by 6
Muddy water animation with different details
Baek, S., Um, K., & Han, J. (2015) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1646 · Cited by 6
Hybrid modeling of multiphysical processes for particle‐based volcano animation
Zhang, S., Kong, F., Li, C., Wang, C., & Qin, H. (2017) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1758 · Cited by 6
Physics-preserving fluid reconstruction from monocular video coupling with SFS and SPH
Nie, X., Hu, Y., & Shen, X. (2019) · The Visual Computer · doi:10.1007/s00371-019-01735-1 · Cited by 6
A SPH-based method for interactive fluids simulation on the multi-GPU
Zhang, F., Hu, L., Wu, J., & Shen, X. (2011) · ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI) · doi:10.1145/2087756.2087834 · Cited by 6
Liquid Splash Modeling with Neural NetworksPreprint
Um, K., Hu, X., & Thuerey, N. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1704.04456 · Cited by 6
A geometric approach to animating thin surface features in smoothed particle hydrodynamics water
Jang, T., & Noh, J. (2014) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1568 · Cited by 5
Real‐time generation of smoothed‐particle hydrodynamics‐based special effects in character animation
Xu, T., Wu, W., & Wu, E. (2013) · Computer Animation and Virtual Worlds · doi:10.1002/cav.1545 · Cited by 5
Photorealistic rendering: a survey on evaluation
Kolivand, H., Sunar, M. S., Kakh, S. Y., Alrousan, R., & Ismail, I. (2018) · Multimedia Tools and Applications · doi:10.1007/s11042-018-5834-7 · Cited by 5
Thin-Feature-Aware Transport-Velocity Formulation for SPH-Based Liquid Animation
Si, W., Qin, J., Chen, Z., Liao, X., Wang, Q., & Heng, P. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2825888 · Cited by 5
Real-time simulation of violent boiling in concentrated sulfuric acid dilution
Chen, W., Sang, T., Ma, Y., Chen, Q., Xiao, Y., Pan, Z., & Yang, X. (2021) · The Visual Computer · doi:10.1007/s00371-021-02208-0 · Cited by 5
Yarn-Level Simulation of Hygroscopicity of Woven Textiles
Mao, A., Dong, W., Xie, C., Wang, H., Liu, Y., Li, G., & He, Y. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3206579 · Cited by 5
Particle-based parallel fluid simulation in three-dimensional scene with implicit surfaces
Nakata, S., & Sakamoto, Y. (2015) · The Journal of Supercomputing · doi:10.1007/s11227-014-1323-6 · Cited by 5
Versatile numerical fractures removal for SPH-based free surface liquids
Si, W., Liao, X., Qian, Y., Wang, Q., & Heng, P. (2019) · Computers & Graphics · doi:10.1016/j.cag.2019.03.015 · Cited by 5
Zeng, R., Wu, Z., Deng, S., Zhu, J. L., & Chi, X. (2021) · Virtual Reality & Intelligent Hardware · doi:10.1016/j.vrih.2018.12.001 · Cited by 5
Metadata
- Authors
- Solenthaler, B., & Pajarola, R.
- Affiliations
- University of Zurich (CH)
- Venue
- ACM Transactions on Graphics
- Published
- 2009-07-27
- Volume
- 28
- Issue
- 3
- Pages
- 1-6
- ISSN
- 0730-0301 (ISSN-L)
- 1557-7368
- OpenAlex
- W2045670663
- Cited by
- 362
- References
- 37
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 9 · 2023: 9 · 2022: 14 · 2021: 25 · 2020: 28 · 2019: 25 · 2018: 28 · 2017: 25 · 2016: 32 · 2015: 31 · 2014: 32 · 2013: 32 · 2012: 19
- FWCI
- 18.12
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- ACM Transactions on Graphics (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Physical Sciences › Engineering › Computational Mechanics › Fluid Dynamics Simulations and Interactions
- Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Computer Graphics and Visualization Techniques
- Physical Sciences › Engineering › Mechanics of Materials › Numerical methods in engineering
- Keywords
- incompressible fluid simulation, smoothed particle hydrodynamics, prediction-correction scheme, density fluctuations, large time steps, weakly compressible SPH
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
