1 citations · 2 across the 10 of their papers we have counts for
12 papers
FLARE++: Low-rank attention with dynamic attention routing
Vedant Puri, Yongjie Jessica Zhang, Levent Burak Kara
Full self-attention is a strong token mixer for PDE surrogates on irregular domains, but its quadratic cost limits its use on large problems. Latent-space attention methods such as…
FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
Qianfan Shen, Ningxiao Tao, Qiyu Dai +6
We consider the problem of synthesizing photorealistic, physically plausible combustion effects in in-the-wild 3D scenes. Traditional CFD and graphics pipelines can produce realist…
Scalable DDPM-Polycube: An Extended Diffusion-Based Method for Hexahedral Mesh and Volumetric Spline Construction
Yuxuan Yu, Jiashuo Liu, Hua Tong +2
Polycube structures provide parametric domains for all-hexahedral (all-hex) mesh generation and analysis-suitable volumetric spline construction in isogeometric analysis (IGA). Rec…
A Survey of AI Methods for Geometry Preparation and Mesh Generation in Engineering Simulation
Steven Owen, Nathan Brown, Nikos Chrisochoides +8
Artificial intelligence is beginning to reduce the manual effort in the CAD-to-mesh pipeline. Written for meshing and geometry practitioners with limited AI background, this survey…
Element-Saving Hexahedral 3-Refinement Templates
Hua Tong, Yongjie Jessica Zhang
Conforming hex meshes are widely regarded as an effective computational domain for simulation because of their nice numerical properties, yet automatically decomposing a general 3D…
MCHex: Marching Cubes Based Adaptive Hexahedral Mesh Generation with Guaranteed Positive Jacobian
Hua Tong, Yongjie Jessica Zhang
Grid-based methods are the most robust approach for automatic hexahedral (hex) meshing, but they struggle to achieve high boundary fidelity and element quality. Conventional pipeli…
FLARE: Fast Low-rank Attention Routing Engine
Vedant Puri, Aditya Joglekar, Sri Datta Ganesh Bandreddi +4
The quadratic complexity of self-attention limits the scalability of transformers on long sequences. We introduce Fast Low-rank Attention Routing Engine (FLARE), a token-mixing ope…
GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
Tsung Yeh Hsieh, Yongjie Jessica Zhang
Neurons exhibit intricate geometries within their neurite networks, which play a crucial role in processes such as signaling and nutrient transport. Accurate simulation of material…
DDPM-Polycube: A Denoising Diffusion Probabilistic Model for Polycube-Based Hexahedral Mesh Generation and Volumetric Spline Construction
Yuxuan Yu, Yuzhuo Fang, Hua Tong +2
In this paper, we propose DDPM-Polycube, a generative polycube creation approach based on denoising diffusion probabilistic models (DDPM) for generating high-quality hexahedral (he…
DL-Polycube: Deep learning enhanced polycube method for high-quality hexahedral mesh generation and volumetric spline construction
Yuxuan Yu, Yuzhuo Fang, Hua Tong +1
In this paper, we present a novel algorithm that integrates deep learning with the polycube method (DL-Polycube) to generate high-quality hexahedral (hex) meshes, which are then us…
Fast and Robust Hexahedral Mesh Optimization via Augmented Lagrangian, L-BFGS, and Line Search
Hua Tong, Yongjie Jessica Zhang
We present a new software package, ``HexOpt,'' for improving the quality of all-hexahedral (all-hex) meshes by maximizing the minimum mixed scaled Jacobian-Jacobian energy function…
HybridOctree_Hex: Hybrid Octree-Based Adaptive All-Hexahedral Mesh Generation with Jacobian Control
Hua Tong, Eni Halilaj, Yongjie Jessica Zhang
We present a new software package, "HybridOctree_Hex," for adaptive all-hexahedral mesh generation based on hybrid octree and quality improvement with Jacobian control. The propose…