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09/20/2023
Latent Diffusion Models for Structural Component Design
Recent advances in generative modeling, namely Diffusion models, have re...
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09/04/2023
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
3D printing or additive manufacturing is a revolutionary technology that...
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07/04/2023
Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes
The accurate and efficient simulation of Partial Differential Equations ...
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06/14/2023
ZeroForge: Feedforward Text-to-Shape Without 3D Supervision
Current state-of-the-art methods for text-to-shape generation either req...
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05/10/2023
Geometric Modeling and Physics Simulation Framework for Building a Digital Twin of Extrusion-based Additive Manufacturing
Accurate simulation of the printing process is essential for improving p...
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02/20/2023
SpecXAI – Spectral interpretability of Deep Learning Models
Deep learning is becoming increasingly adopted in business and industry ...
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11/26/2022
3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images
Recent developments in deep learning-based methods demonstrated its pote...
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11/07/2022
Neural PDE Solvers for Irregular Domains
Neural network-based approaches for solving partial differential equatio...
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09/27/2022
CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powe...
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04/29/2022
Concept Activation Vectors for Generating User-Defined 3D Shapes
We explore the interpretability of 3D geometric deep learning models in ...
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11/17/2021
Case study of SARS-CoV-2 transmission risk assessment in indoor environments using cloud computing resources
Complex flow simulations are conventionally performed on HPC clusters. H...
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10/04/2021
NeuFENet: Neural Finite Element Solutions with Theoretical Bounds for Parametric PDEs
We consider a mesh-based approach for training a neural network to produ...
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10/04/2021
Differentiable Spline Approximations
The paradigm of differentiable programming has significantly enhanced th...
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08/08/2021
Scalable adaptive PDE solvers in arbitrary domains
Efficiently and accurately simulating partial differential equations (PD...
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04/29/2021
NURBS-Diff: A Differentiable NURBS Layer for Machine Learning CAD Applications
Recent deep-learning-based techniques for the reconstruction of geometri...
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04/29/2021
Distributed Multigrid Neural Solvers on Megavoxel Domains
We consider the distributed training of large-scale neural networks that...
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12/09/2020
Physics-consistent deep learning for structural topology optimization
Topology optimization has emerged as a popular approach to refine a comp...
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08/28/2020
Industrial scale large eddy simulations (LES) with adaptive octree meshes using immersogeometric analysis
We present a variant of the immersed boundary method integrated with oct...
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05/30/2018
Multi-Resolution 3D Convolutional Neural Networks for Object Recognition
Learning from 3D Data is a fascinating idea which is well explored and s...
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11/13/2017
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes
3D Convolutional Neural Networks (3D-CNN) have been used for object reco...
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03/04/2017
A Machine-Learning Framework for Design for Manufacturability
this is a duplicate submission(original is arXiv:1612.02141). Hence want...
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12/07/2016
