| Hybrid grains: adaptive coupling of discrete and continuum simulations of granular media Y Yue, B Smith, PY Chen, M Chantharayukhonthorn, K Kamrin, ... ACM Transactions on Graphics (TOG) 37 (6), 1-19, 2018 | 86 | 2018 |
| PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification X Li, YL Qiao, PY Chen, KM Jatavallabhula, M Lin, C Jiang, C Gan International Conference on Learning Representations, 2023 | 28 | 2023 |
| CROM: Continuous reduced-order modeling of PDEs using implicit neural representations PY Chen, J Xiang, DH Cho, Y Chang, GA Pershing, HT Maia, ... International Conference on Learning Representations, 2023 | 27 | 2023 |
| Characterization of dough baked via blue laser JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson Journal of Food Engineering 232, 56-64, 2018 | 26 | 2018 |
| Visual modeling of laser-induced dough browning PY Chen, JD Blutinger, Y Meijers, C Zheng, E Grinspun, H Lipson Journal of Food Engineering 243, 9-21, 2019 | 24 | 2019 |
| Characterization of CO2 laser browning of dough JD Blutinger, Y Meijers, PY Chen, C Zheng, E Grinspun, H Lipson Innovative Food Science & Emerging Technologies 52, 145-157, 2019 | 22 | 2019 |
| Hybrid discrete-continuum modeling of shear localization in granular media PY Chen, M Chantharayukhonthorn, Y Yue, E Grinspun, K Kamrin Journal of the Mechanics and Physics of Solids 153, 104404, 2021 | 16 | 2021 |
| How Can Large Language Models Help Humans in Design and Manufacturing? L Makatura, M Foshey, B Wang, F HähnLein, P Ma, B Deng, ... arXiv preprint arXiv:2307.14377, 2023 | 13 | 2023 |
| Implicit Neural Spatial Representations for Time-dependent PDEs H Chen, R Wu, E Grinspun, C Zheng, PY Chen International Conference on Machine Learning, 5162-5177, 2023 | 13 | 2023 |
| Model reduction for the material point method via an implicit neural representation of the deformation map PY Chen, MM Chiaramonte, E Grinspun, K Carlberg Journal of Computational Physics 478, 111908, 2023 | 12 | 2023 |
| Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics P Ma, PY Chen, B Deng, JB Tenenbaum, T Du, C Gan, W Matusik International Conference on Machine Learning, 2023 | 12 | 2023 |
| Learning Preconditioner for Conjugate Gradient PDE Solvers Y Li, PY Chen, T Du, W Matusik International Conference on Machine Learning, 2023 | 7 | 2023 |
| Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients PY Chen, M Chiaramonte, E Grinspun, K Carlberg URL: http://arxiv. org/abs/2109.12390 v1, 2021 | 3 | 2021 |
| Neural Stress Fields for Reduced-order Elastoplasticity and Fracture Z Zong, X Li, M Li, MM Chiaramonte, W Matusik, E Grinspun, K Carlberg, ... ACM SIGGRAPH ASIA 2023 Conference Proceedings, 2023 | 1 | 2023 |
| Large Language Models for Design and Manufacturing L Makatura, M Foshey, B Wang, F Hähnlein, P Ma, B Deng, ... MIT, 2024 | | 2024 |
| LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Y Chang, PY Chen, Z Wang, MM Chiaramonte, K Carlberg, E Grinspun ACM SIGGRAPH ASIA 2023 Conference Proceedings, 2023 | | 2023 |
| CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations P Yichen Chen, J Xiang, DH Cho, Y Chang, GA Pershing, H Teles Maia, ... arXiv e-prints, arXiv: 2206.02607, 2022 | | 2022 |
| Multiscaling and Machine Learning Approaches to Physics Simulation PY Chen Columbia University, 2022 | | 2022 |
| Model reduction for the material point method via an implicit neural representation of the deformation map P Yichen Chen, M Chiaramonte, E Grinspun, K Carlberg arXiv e-prints, arXiv: 2109.12390, 2021 | | 2021 |
| Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning. PY Chen, M Chiaramonte, E Grinspun, K Carlberg AAAI Spring Symposium: MLPS, 2021 | | 2021 |
Eitan GrinspunComputer Science, University of TorontoE-mail megerősítve itt: cs.toronto.edu
