Hybrid grains: adaptive coupling of discrete and continuum simulations of granular media. - Yonghao Yue; Breannan Smith; Peter Yichen Chen; Maytee Chantharayukhonthorn; Ken Kamrin; Eitan Grinspun (ACM Trans. Graph., 2018)

Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning. - Peter Yichen Chen; Maurizio M. Chiaramonte; Eitan Grinspun; Kevin Carlberg (AAAI Spring Symposium: MLPS, 2021)

Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients. - Peter Yichen Chen; Maurizio M. Chiaramonte; Eitan Grinspun; Kevin Carlberg (CoRR, 2021)

Multiscaling and Machine Learning Approaches to Physics Simulation - Peter Yichen Chen (2022)

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. - Peter Yichen Chen; Jinxu Xiang; Dong Heon Cho; Yue Chang; G. A. Pershing; Henrique Teles Maia; Maurizio M. Chiaramonte; Kevin T. Carlberg; Eitan Grinspun (ICLR, 2023)

PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. - Xuan Li; Yi-Ling Qiao; Peter Yichen Chen; Krishna Murthy Jatavallabhula; Ming C. Lin; Chenfanfu Jiang; Chuang Gan 001 (ICLR, 2023)

Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. - Pingchuan Ma 002; Peter Yichen Chen; Bolei Deng; Joshua B. Tenenbaum; Tao Du 001; Chuang Gan 001; Wojciech Matusik (ICML, 2023)

Implicit Neural Spatial Representations for Time-dependent PDEs. - Honglin Chen; Rundi Wu; Eitan Grinspun; Changxi Zheng; Peter Yichen Chen (ICML, 2023)

Learning Preconditioners for Conjugate Gradient PDE Solvers. - Yichen Li 004; Peter Yichen Chen; Tao Du 001; Wojciech Matusik (ICML, 2023)

LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. - Yue Chang; Peter Yichen Chen; Zhecheng Wang 001; Maurizio M. Chiaramonte; Kevin Carlberg; Eitan Grinspun (SIGGRAPH Asia, 2023)

Neural Stress Fields for Reduced-order Elastoplasticity and Fracture. - Zeshun Zong; Xuan Li; Minchen Li; Maurizio M. Chiaramonte; Wojciech Matusik; Eitan Grinspun; Kevin Carlberg; Chenfanfu Jiang; Peter Yichen Chen (SIGGRAPH Asia, 2023)

Learning Preconditioner for Conjugate Gradient PDE Solvers. - Yichen Li 004; Peter Yichen Chen; Tao Du 001; Wojciech Matusik (CoRR, 2023)

How Can Large Language Models Help Humans in Design and Manufacturing? - Liane Makatura; Michael Foshey; Bohan Wang; Felix Hähnlein; Pingchuan Ma 002; Bolei Deng; Megan Tjandrasuwita; Andrew Spielberg; Crystal Elaine Owens; Peter Yichen Chen; Allan Zhao; Amy Zhu; et al. (CoRR, 2023)

Model reduction for the material point method via an implicit neural representation of the deformation map. - Peter Yichen Chen; Maurizio M. Chiaramonte; Eitan Grinspun; Kevin Carlberg (J. Comput. Phys., 2023)

Neural Monte Carlo Fluid Simulation. - Pranav Jain; Ziyin Qu; Peter Yichen Chen; Oded Stein (SIGGRAPH (Conference Paper Track), 2024)

Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs. - Hrishikesh Viswanath; Yue Chang; Julius Berner; Peter Yichen Chen; Aniket Bera (CoRR, 2024)

Neural Representation of Shape-Dependent Laplacian Eigenfunctions. - Yue Chang; Otman Benchekroun; Maurizio M. Chiaramonte; Peter Yichen Chen; Eitan Grinspun (CoRR, 2024)

Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. - Peter Yichen Chen; Chao Liu 021; Pingchuan Ma 002; John Eastman; Daniela Rus; Dylan Randle; Yuri Ivanov; Wojciech Matusik (CoRR, 2024)

Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations. - Yue Chang; Mengfei Liu; Zhecheng Wang 001; Peter Yichen Chen; Eitan Grinspun (CoRR, 2025)

AI-Enhanced Automatic Design of Efficient Underwater Gliders. - Peter Yichen Chen; Pingchuan Ma 002; Niklas Hagemann; John Romanishin; Wei Wang 078; Daniela Rus; Wojciech Matusik (CoRR, 2025)

Precise Gradient Discontinuities in Neural Fields for Subspace Physics. - Mengfei Liu; Yue Chang; Zhecheng Wang 001; Peter Yichen Chen; Eitan Grinspun (CoRR, 2025)

Graphics4Science: Computer Graphics for Scientific Impacts. - Peter Yichen Chen; Minghao Guo; Hanspeter Pfister; Ming Lin; William T. Freeman; Qixing Huang; Han-Wei Shen; Wojciech Matusik (CoRR, 2025)

Shape Space Spectra. - Yue Chang; Otman Benchekroun; Maurizio M. Chiaramonte; Peter Yichen Chen; Eitan Grinspun (ACM Trans. Graph., 2025)