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06/05/2023
Automating Style Analysis and Visualization With Explainable AI – Case Studies on Brand Recognition
Incorporating style-related objectives into shape design has been centra...
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05/17/2023
Topology Optimization using Neural Networks with Conditioning Field Initialization for Improved Efficiency
We propose conditioning field initialization for neural network based to...
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05/06/2023
DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks
We propose a direct mesh-free method for performing topology optimizatio...
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02/02/2023
Target specific peptide design using latent space approximate trajectory collector
Despite the prevalence and many successes of deep learning applications ...
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12/01/2022
Component Segmentation of Engineering Drawings Using Graph Convolutional Networks
We present a data-driven framework to automate the vectorization and mac...
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10/28/2022
Hierarchical Automatic Power Plane Generation with Genetic Optimization and Multilayer Perceptron
We present an automatic multilayer power plane generation method to acce...
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10/04/2022
Concurrent build direction, part segmentation, and topology optimization for additive manufacturing using neural networks
We propose a neural network-based approach to topology optimization that...
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11/15/2020
Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing
Physical design and production of Integrated Circuits (IC) is becoming i...
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10/26/2020
Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision
Detailed routing is one of the most critical steps in analog circuit des...
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04/20/2020
Attention Routing: track-assignment detailed routing using attention-based reinforcement learning
In the physical design of integrated circuits, global and detailed routi...
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03/05/2020
TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain
In topology optimization using deep learning, load and boundary conditio...
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06/25/2019
Structural Design Using Laplacian Shells
We introduce a method to design lightweight shell objects that are struc...
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06/20/2019
A Deep Reinforcement Learning Approach for Global Routing
Global routing has been a historically challenging problem in electronic...
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04/16/2019
3D Shape Synthesis for Conceptual Design and Optimization Using Variational Autoencoders
We propose a data-driven 3D shape design method that can learn a generat...
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10/26/2018
Lightweight Structure Design Under Force Location Uncertainty
We introduce a lightweight structure optimization approach for problems ...
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10/25/2018
Efficient Load Sampling for Worst-Case Structural Analysis Under Force Location Uncertainty
An important task in structural design is to quantify the structural per...
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08/27/2018
Deep Learning for Stress Field Prediction Using Convolutional Neural Networks
This research presents a deep learning based approach to predict stress ...
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07/08/2018