Minchen Li
YOU?
Author Swipe
View article: CK-MPM: A Compact-Kernel Material Point Method
CK-MPM: A Compact-Kernel Material Point Method Open
The Material Point Method (MPM) has become a cornerstone of physics-based simulation, widely used in geomechanics and computer graphics for modeling phenomena such as granular flows, viscoelasticity, fracture mechanics, etc. Despite its ve…
View article: VR-Doh: Hands-on 3D Modeling in Virtual Reality
VR-Doh: Hands-on 3D Modeling in Virtual Reality Open
We introduce VR-Doh, an open-source, hands-on 3D modeling system that enables intuitive creation and manipulation of elastoplastic objects in Virtual Reality (VR). By customizing the Material Point Method (MPM) for real-time simulation of …
View article: NutriRAG: Unleashing the Power of Large Language Models for Food Identification and Classification through Retrieval Methods
NutriRAG: Unleashing the Power of Large Language Models for Food Identification and Classification through Retrieval Methods Open
Objective This study explores the use of advanced Natural Language Processing (NLP) techniques to enhance food classification and dietary analysis using raw text input from a diet tracking app. Materials and Methods The study was conducted…
View article: 3D Dynamic Fluid Assets from Single-View Videos with Generative Gaussian Splatting
3D Dynamic Fluid Assets from Single-View Videos with Generative Gaussian Splatting Open
While the generation of 3D content from single-view images has been extensively studied, the creation of physically consistent 3D dynamic scenes from videos remains in its early stages. We propose a novel framework leveraging generative 3D…
View article: CK-MPM: A Compact-Kernel Material Point Method
CK-MPM: A Compact-Kernel Material Point Method Open
The Material Point Method (MPM) has become a cornerstone of physics-based simulation, widely used in geomechanics and computer graphics for modeling phenomena such as granular flows, viscoelasticity, fracture mechanics, etc. Despite its ve…
View article: Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact
Barrier-Augmented Lagrangian for GPU-based Elastodynamic Contact Open
We propose a GPU-based iterative method for accelerated elastodynamic simulation with the log-barrier-based contact model. While Newton's method is a conventional choice for solving the interior-point system, the presence of ill-conditione…
View article: StiffGIPC: Advancing GPU IPC for stiff affine-deformable simulation
StiffGIPC: Advancing GPU IPC for stiff affine-deformable simulation Open
Incremental Potential Contact (IPC) is a widely used, robust, and accurate method for simulating complex frictional contact behaviors. However, achieving high efficiency remains a major challenge, particularly as material stiffness increas…
View article: Unstructured moving least squares material point methods: a stable kernel approach with continuous gradient reconstruction on general unstructured tessellations
Unstructured moving least squares material point methods: a stable kernel approach with continuous gradient reconstruction on general unstructured tessellations Open
The Material Point Method (MPM) is a hybrid Eulerian Lagrangian simulation technique for solid mechanics with significant deformation.Structured background grids are commonly employed in the standard MPM, but they may give rise to several …
View article: Mapped material point method for large deformation problems with sharp gradients and its application to soil‐structure interactions
Mapped material point method for large deformation problems with sharp gradients and its application to soil‐structure interactions Open
The material point method (MPM) is often applied to large deformation problems that involve sharp gradients in the solution field. Representative examples in geomechanics are interactions between soils and various “structures” such as foun…
View article: VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality Open
As consumer Virtual Reality (VR) and Mixed Reality (MR) technologies gain momentum, there's a growing focus on the development of engagements with 3D virtual content. Unfortunately, traditional techniques for content creation, editing, and…
View article: Unstructured Moving Least Squares Material Point Methods: A Stable Kernel Approach With Continuous Gradient Reconstruction on General Unstructured Tessellations
Unstructured Moving Least Squares Material Point Methods: A Stable Kernel Approach With Continuous Gradient Reconstruction on General Unstructured Tessellations Open
The Material Point Method (MPM) is a hybrid Eulerian Lagrangian simulation technique for solid mechanics with significant deformation. Structured background grids are commonly employed in the standard MPM, but they may give rise to several…
View article: Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture Open
We propose a hybrid neural network and physics framework for reduced-order modeling of elastoplasticity and fracture. State-of-the-art scientific computing models like the Material Point Method (MPM) faithfully simulate large-deformation e…
View article: Convergent Incremental Potential Contact
Convergent Incremental Potential Contact Open
Recent advances in the simulation of frictionally contacting elastodynamics with the Incremental Potential Contact (IPC) model have enabled inversion and intersection-free simulation via the application of mollified barriers, filtered line…
View article: A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling
A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling Open
We present a robust and efficient method for simulating Lagrangian solid-fluid coupling based on a new operator splitting strategy. We use variational formulations to approximate fluid properties and solid-fluid interactions, and introduce…
View article: A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps
A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps Open
In this work, we present a reconfigurable data glove design to capture different modes of human hand–object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks. To achieve v…
View article: A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps
A Reconfigurable Data Glove for Reconstructing Physical and Virtual Grasps Open
In this work, we present a reconfigurable data glove design to capture different modes of human hand-object interactions, which are critical in training embodied artificial intelligence (AI) agents for fine manipulation tasks. To achieve v…
View article: A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling
A Contact Proxy Splitting Method for Lagrangian Solid-Fluid Coupling Open
We present a robust and efficient method for simulating Lagrangian solid-fluid coupling based on a new operator splitting strategy. We use variational formulations to approximate fluid properties and solid-fluid interactions, and introduce…
View article: TPA-Net: Generate A Dataset for Text to Physics-based Animation
TPA-Net: Generate A Dataset for Text to Physics-based Animation Open
Recent breakthroughs in Vision-Language (V&L) joint research have achieved remarkable results in various text-driven tasks. High-quality Text-to-video (T2V), a task that has been long considered mission-impossible, was proven feasible with…
View article: A Sparse Distributed Gigascale Resolution Material Point Method
A Sparse Distributed Gigascale Resolution Material Point Method Open
In this article, we present a four-layer distributed simulation system and its adaptation to the Material Point Method (MPM). The system is built upon a performance portable C++ programming model targeting major High-Performance-Computing …
View article: Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN
Efficient Learning of Mesh-Based Physical Simulation with BSMS-GNN Open
Learning the physical simulation on large-scale meshes with flat Graph Neural Networks (GNNs) and stacking Message Passings (MPs) is challenging due to the scaling complexity w.r.t. the number of nodes and over-smoothing. There has been gr…
View article: Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact
Midas: A Multi-Joint Robotics Simulator with Intersection-Free Frictional Contact Open
We introduce Midas, a robotics simulation framework based on the Incremental Potential Contact (IPC) model. Our simulator guarantees intersection-free, stable, and accurate resolution of frictional contact. We demonstrate the efficacy of o…
View article: Topology Optimization with Frictional Self-Contact
Topology Optimization with Frictional Self-Contact Open
Contact-aware topology optimization faces challenges in robustness, accuracy, and applicability to internal structural surfaces under self-contact. This work builds on the recently proposed barrier-based Incremental Potential Contact (IPC)…
View article: Affine body dynamics
Affine body dynamics Open
Simulating stiff materials in applications where deformations are either not significant or else can safely be ignored is a fundamental task across fields. Rigid body modeling has thus long remained a critical tool and is, by far, the most…
View article: Penetration-free projective dynamics on the GPU
Penetration-free projective dynamics on the GPU Open
We present a GPU algorithm for deformable simulation. Our method offers good computational efficiency and penetration-free guarantee at the same time, which are not common with existing techniques. The main idea is an algorithmic integrati…
View article: The power particle-in-cell method
The power particle-in-cell method Open
This paper introduces a new weighting scheme for particle-grid transfers that generates hybrid Lagrangian/Eulerian fluid simulations with uniform particle distributions and precise volume control. At its core, our approach reformulates the…
View article: Complex Locomotion Skill Learning via Differentiable Physics
Complex Locomotion Skill Learning via Differentiable Physics Open
Differentiable physics enables efficient gradient-based optimizations of neural network (NN) controllers. However, existing work typically only delivers NN controllers with limited capability and generalizability. We present a practical le…
View article: A barrier method for frictional contact on embedded interfaces
A barrier method for frictional contact on embedded interfaces Open
View article: An Efficient B-Spline Lagrangian/Eulerian Method for Compressible Flow, Shock Waves, and Fracturing Solids
An Efficient B-Spline Lagrangian/Eulerian Method for Compressible Flow, Shock Waves, and Fracturing Solids Open
This study presents a new method for modeling the interaction between compressible flow, shock waves, and deformable structures, emphasizing destructive dynamics. Extending advances in time-splitting compressible flow and the Material Poin…
View article: Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials
Affine Body Dynamics: Fast, Stable & Intersection-free Simulation of Stiff Materials Open
Simulating stiff materials in applications where deformations are either not significant or can safely be ignored is a pivotal task across fields. Rigid body modeling has thus long remained a fundamental tool and is, by far, the most popul…
View article: A Large Scale Benchmark for the Incompressible Navier-Stokes Equations
A Large Scale Benchmark for the Incompressible Navier-Stokes Equations Open