Generative Facade Design

Generative Facade Design is a computational design methodology within generative architecture that systematically produces architectural facade variations through algorithmic rules, parametric relationships, and performance-driven criteria, distinguishing it from static or manually-driven facade design approaches.

5

Publications

203

Citations

18

Authors

12

Institutions

Publications per year

2017–2026

4

Authors

18

  1. JM
    Jaime M. L. Gagne

    Massachusetts Institute of Technology, United States

    1 publications · 78 citations

    1

    h-index

  2. SC
    Seungyeon Choo

    Kyungpook National University, South Korea

    1 publications · 55 citations

    1

    h-index

  3. JL
    Jin-Kook Lee

    Pusan National University, South Korea

    1 publications · 55 citations

    1

    h-index

  4. YL
    Yong-Cheol Lee

    Louisiana State University, United States

    1 publications · 55 citations

    1

    h-index

  5. MA
    Marilyne Andersen

    École Polytechnique Fédérale de Lausanne, Switzerland

    1 publications · 78 citations

    1

    h-index

1–5 of 18

Venues

  1. 1

    h-index

  2. Journal of Computational Design and Engineering

    JCDE · 1 publications · 55 citations

    1

    h-index

  3. Journal of Building Performance Simulation

    1 publications · 78 citations

    1

    h-index

  4. Journal of Daylighting

    1 publications · 20 citations

    1

    h-index

  5. Architecture

    1 publications · 23 citations

1–5