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20182026
most citedStressGAN: A Generative Deep Learning Model for 2D Stress Distribution Prediction

145 citations · 339 across the 28 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

physics.app-ph2023★ 1 cited

Inference of highly time-resolved melt pool visual characteristics and spatially-dependent lack-of-fusion defects in laser powder bed fusion using acoustic and thermal emission data

Haolin Liu, Christian Gobert, Kevin Ferguson +5

With a growing demand for high-quality fabrication, the interest in real-time process and defect monitoring of laser powder bed fusion (LPBF) has increased, leading manufacturers t…

cs.CV2023

Automating Style Analysis and Visualization With Explainable AI -- Case Studies on Brand Recognition

Yu-hsuan Chen, Levent Burak Kara, Jonathan Cagan

Incorporating style-related objectives into shape design has been centrally important to maximize product appeal. However, stylistic features such as aesthetics and semantic attrib…

cs.LG2023

Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency

Hongrui Chen, Aditya Joglekar, Levent Burak Kara

We propose conditioning field initialization for neural network based topology optimization. In this work, we focus on (1) improving upon existing neural network based topology opt…

cs.CE2023

DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks

Aditya Joglekar, Hongrui Chen, Levent Burak Kara

We propose a direct mesh-free method for performing topology optimization by integrating a density field approximation neural network with a displacement field approximation neural…

cs.CE2023

Target specific peptide design using latent space approximate trajectory collector

Tong Lin, Sijie Chen, Ruchira Basu +3

Despite the prevalence and many successes of deep learning applications in de novo molecular design, the problem of peptide generation targeting specific proteins remains unsolved.…