Generative Design Simulation
Generative Design Simulation is a computational design method that autonomously explores and optimizes a vast solution space through iterative simulation-driven feedback loops, distinguishing itself by integrating generative algorithms with physics-based or performance-based simulation to synthesize high-performing design alternatives according to defined constraints and objectives.
36
Publications
1.6K
Citations
124
Authors
53
Institutions
Publications per year
2017–2026
30
Parents
36
3D Design Using Generative Adversarial Networks and Physics-Based Validation
Dule Shu, James Cunningham, Gary Stump et al. · Journal of Mechanical Design · 2019 · 110 citations · Full text
1–5 of 36
124
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 124
53
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
7 publications
386 citations
North Dakota State University
Fargo, United States
2 h-index
2 publications
111 citations

Pennsylvania State University
State College, United States
2 h-index
10 publications
506 citations

Henan University
Kaifeng, China
2 h-index
6 publications
368 citations

University of Twente
Enschede, The Netherlands
1 h-index
3 publications
78 citations
Hyundai Motors (South Korea)
Seongnam-si, South Korea
1 h-index
2 publications
332 citations
IMT Atlantique
Nantes, France
1 h-index
2 publications
162 citations
Flanders Make (Belgium)
Lommel, Belgium
1 h-index
1 publications
81 citations
1–8 of 53
3 publications · 114 citations
3
h-index
2 publications · 94 citations
2
h-index
2 publications · 111 citations
2
h-index
2 publications · 125 citations
2
h-index
1 publications · 15 citations
2
h-index
1–5