Bo Zhu
Cited by
Cited by
Two-scale topology optimization with microstructures
B Zhu, M Skouras, D Chen, W Matusik
ACM Transactions on Graphics (TOG) 36 (4), 1, 2017
Computational discovery of extremal microstructure families
D Chen, M Skouras, B Zhu, W Matusik
Science advances 4 (1), eaao7005, 2018
Narrow-band topology optimization on a sparsely populated grid
H Liu, Y Hu, B Zhu, W Matusik, E Sifakis
ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018
Interactive design space exploration and optimization for CAD models
A Schulz, J Xu, B Zhu, C Zheng, E Grinspun, W Matusik
ACM Transactions on Graphics (TOG) 36 (4), 1-14, 2017
Computational multicopter design
T Du, A Schulz, B Zhu, B Bickel, W Matusik
Association for Computing Machinery (ACM), 2016
Learning to fly: computational controller design for hybrid uavs with reinforcement learning
J Xu, T Du, M Foshey, B Li, B Zhu, A Schulz, W Matusik
ACM Transactions on Graphics (TOG) 38 (4), 1-12, 2019
A new grid structure for domain extension
B Zhu, W Lu, M Cong, B Kim, R Fedkiw
ACM Transactions on Graphics (TOG) 32 (4), 1-12, 2013
A hybrid deformable model for real-time surgical simulation
B Zhu, L Gu
Computerized Medical Imaging and Graphics 36 (5), 356-365, 2012
Sketch-based dynamic illustration of fluid systems
B Zhu, M Iwata, R Haraguchi, T Ashihara, N Umetani, T Igarashi, ...
Proceedings of the 2011 SIGGRAPH Asia Conference, 1-8, 2011
Codimensional surface tension flow on simplicial complexes
B Zhu, E Quigley, M Cong, J Solomon, R Fedkiw
ACM Transactions on Graphics (TOG) 33 (4), 1-11, 2014
Creating and preserving vortical details in sph fluid
B Zhu, X Yang, Y Fan
Computer Graphics Forum 29 (7), 2207-2214, 2010
Codimensional non-Newtonian fluids
B Zhu, M Lee, E Quigley, R Fedkiw
ACM Transactions on Graphics (TOG) 34 (4), 1-9, 2015
Evolutionary black-box topology optimization: Challenges and promises
D Guirguis, N Aulig, R Picelli, B Zhu, Y Zhou, W Vicente, F Iorio, M Olhofer, ...
IEEE Transactions on Evolutionary Computation 24 (4), 613-633, 2019
Animating Sand as a Surface Flow.
B Zhu, X Yang
Eurographics (short papers), 9-12, 2010
Symplectic neural networks in Taylor series form for Hamiltonian systems
Y Tong, S Xiong, X He, G Pan, B Zhu
Journal of Computational Physics 437, 110325, 2021
A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension
W Zheng, B Zhu, B Kim, R Fedkiw
Journal of Computational Physics 280, 96-142, 2015
Learning physical constraints with neural projections
S Yang, X He, B Zhu
Advances in Neural Information Processing Systems 33, 5178-5189, 2020
Fluidlab: A differentiable environment for benchmarking complex fluid manipulation
Z Xian, B Zhu, Z Xu, HY Tung, A Torralba, K Fragkiadaki, C Gan
arXiv preprint arXiv:2303.02346, 2023
Clebsch gauge fluid
S Yang, S Xiong, Y Zhang, F Feng, J Liu, B Zhu
ACM Transactions on Graphics (TOG) 40 (4), 1-11, 2021
Sparse symplectically integrated neural networks
D DiPietro, S Xiong, B Zhu
Advances in Neural Information Processing Systems 33, 6074-6085, 2020
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Articles 1–20