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20162026
most citedAlgorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization

60 citations · 177 across the 53 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.LG2023★ 2 cited

Latent Diffusion Models for Structural Component Design

Ethan Herron, Jaydeep Rade, Anushrut Jignasu +4

Recent advances in generative modeling, namely Diffusion models, have revolutionized generative modeling, enabling high-quality image generation tailored to user needs. This paper…

cs.SE2023★ 3 cited

Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension

Anushrut Jignasu, Kelly Marshall, Baskar Ganapathysubramanian +3

3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D print…

math.NA2023★ 2 cited

Optimal Surrogate Boundary Selection and Scalability Studies for the Shifted Boundary Method on Octree Meshes

Cheng-Hau Yang, Kumar Saurabh, Guglielmo Scovazzi +3

The accurate and efficient simulation of Partial Differential Equations (PDEs) in and around arbitrarily defined geometries is critical for many application domains. Immersed bound…

cs.GR2023★ 2 cited

High-Resolution Thermal Simulation Framework for Extrusion-based Additive Manufacturing of Complex Geometries

Dhruv Gamdha, Kumar Saurabh, Baskar Ganapathysubramanian +1

Accurate simulation of the printing process is essential for improving print quality, reducing waste, and optimizing the printing parameters of extrusion-based additive manufacturi…

cs.LG2023

SpecXAI -- Spectral interpretability of Deep Learning Models

Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy +2

Deep learning is becoming increasingly adopted in business and industry due to its ability to transform large quantities of data into high-performing models. These models, however,…