# 3D Design Using Generative Adversarial Networks and Physics-Based Validation

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/3d-design-using-generative-adversarial-networks-and-physics-based-validation/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Dule Shu,James Cunningham,Gary Stump,Simon W. Miller,Michael A. Yukish,Timothy W. Simpson,Conrad S. Tucker |
| Citations | 114 |
| DOI | 10.1115/1.4045419 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://asmedigitalcollection.asme.org/mechanicaldesign/article-pdf/142/7/071701/6577896/md_142_7_071701.pdf |
| OpenAlex ID | https://openalex.org/W2988854488 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Dule Shu](https://scholariq.org/researchers/dule-shu/)
- [Conrad S. Tucker](https://scholariq.org/researchers/conrad-s-tucker/)

## Paper primary topic

- [Computer Graphics and Visualization Techniques](https://scholariq.org/topics/computer-graphics-and-visualization-techniques/)

## Paper topics

- [Computer Graphics and Visualization Techniques](https://scholariq.org/topics/computer-graphics-and-visualization-techniques/)
- [3D Shape Modeling and Analysis](https://scholariq.org/topics/3d-shape-modeling-and-analysis/)
- [Generative Adversarial Networks and Image Synthesis](https://scholariq.org/topics/generative-adversarial-networks-and-image-synthesis/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.