Fetching the paper…
Reading the bibliography…
Computational Fluid Dynamics (CFD) is a hugely important subject with applications in almost every engineering field, however, fluid simulations are extremely computationally and memory demanding.
G. R. McNamara and G. Zanetti, “Use of the boltzmann equation to simulate lattice-gas automata,” Physical review letters
1988
Earlier work this paper cites.
X. Shan and H. Chen, “Lattice boltzmann model for simulating flows with multiple phases and components,” Physical Review E
1993
Earlier work this paper cites.
C. W. Rowley, T. Colonius, and R. M. Murray, “Model reduction for compressible flows using pod and galerkin projection,” Physica D: Nonlinear Phenomena
2004
Earlier work this paper cites.
K. Veroy and A. Patera, “Certified real-time solution of the parametrized steady incompressible navier–stokes equations: rigorous reduced-basis a posteriori error bounds,” International Journal for Numerical Methods in Fluids
2005
Earlier work this paper cites.
C. W. Rowley, “Model reduction for fluids, using balanced proper orthogonal decomposition,” International Journal of Bifurcation and Chaos
2005
Earlier work this paper cites.
L. Zhong, S. Feng, P. Dong, and S. Gao, “Lattice boltzmann schemes for the nonlinear schrödinger equation,” Physical Review E
2006
Earlier work this paper cites.
T. Kim, N. Thürey, D. James, and M. Gross, “Wavelet turbulence for fluid simulation,” in ACM Transactions on Graphics (TOG)
2008
Earlier work this paper cites.
M. F. Barone, I. Kalashnikova, M. R. Brake, and D. J. Segalman, “Reduced order modeling of fluid/structure interaction,” Sandia National Laboratories Report, SAND No
2009
Earlier work this paper cites.
M. Mendoza and J. Munoz, “Three-dimensional lattice boltzmann model for electrodynamics,” Physical Review E
2010
Earlier work this paper cites.
W. Xian and A. Takayuki, “Multi-gpu performance of incompressible flow computation by lattice boltzmann method on gpu cluster,” Parallel Computing
2011
Earlier work this paper cites.
N. Onodera, T. Aoki, T. Shimokawabe, and H. Kobayashi, “Large-scale les wind simulation using lattice boltzmann method for a 10 km × \times 10 km area in metropolitan tokyo,” TSUBAME e-Science Journal Global Scientific Information and Computing Center
2013
Cited alongside, same era.
D. P. Kingma and M. Welling, “Auto-encoding variational bayes,” arXiv preprint arXiv:1312.6114
2013
Cited alongside, same era.
World Scientific, 2013
Z. Guo and C. Shu, Lattice Boltzmann method and its applications in engineering · 2013
Cited alongside, same era.
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio, “Generative adversarial nets,” in Advances in neural information processing systems
2014
Cited alongside, same era.
D. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980
2016
Later among the works it cites.
X. Guo, W. Li, and F. Iorio, “Convolutional neural networks for steady flow approximation,” in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
2016
Later among the works it cites.
C. Yang, X. Yang, and X. Xiao, “Data-driven projection method in fluid simulation,” Computer Animation and Virtual Worlds
2016
Later among the works it cites.
C. Vondrick, H. Pirsiavash, and A. Torralba, “Generating videos with scene dynamics,” in Advances In Neural Information Processing Systems
2016
Later among the works it cites.
K. He, X. Zhang, S. Ren, and J. Sun, “Deep residual learning for image recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2014
Cited alongside, same era.
2014
Cited alongside, same era.
M. Watter, J. Springenberg, J. Boedecker, and M. Riedmiller, “Embed to control: A locally linear latent dynamics model for control from raw images,” in Advances in Neural Information Processing Systems
2015
Cited alongside, same era.
2015
Cited alongside, same era.
D. Pedroso, R. Durand, and S. Galindo, “Mechsys, multi-physics simulation library,” 2015
2015
Cited alongside, same era.
S. Galindo-Torres, A. Scheuermann, and R. Puscasu, “A lattice boltzmann solver for maxwell equations in dielectric media,”
Cited in the paper.
2016
Later among the works it cites.
G. B. Goh, N. O. Hodas, and A. Vishnu, “Deep learning for computational chemistry,” Journal of Computational Chemistry
2017
Closest in time.
2017
Closest in time.
G. Carleo and M. Troyer, “Solving the quantum many-body problem with artificial neural networks,” Science
2017
Closest in time.
M. Paganini, L. de Oliveira, and B. Nachman, “CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks,” ArXiv e-prints
2017
Closest in time.