Concepedia

Machine Learning-based Design Synthesis

Machine Learning-Based Design Synthesis is a generative design methodology that employs machine learning algorithms to automatically generate and optimize architectural forms and spatial configurations by learning from data-driven patterns, distinguished from rule-based or parametric approaches by its capacity to evolve designs through iterative learning and adaptation.

195

Publications

9K

Citations

634

Authors

236

Institutions

Publications per year

2017–2026

155

Parents

Publications

195

De novo composite design based on machine learning algorithm

Grace X. Gu, Chun‐Teh Chen, Markus J. Buehler · Extreme Mechanics Letters · 2017 · 459 citations

, , +10

Deep learning for determining a near-optimal topological design without any iteration

Yonggyun Yu, Taeil Hur, Jaeho Jung et al. · Structural and Multidisciplinary Optimization · 2018 · 343 citations · Full text

, , +14

Computer-generated residential building layouts

Paul Merrell, Eric Schkufza, Vladlen Koltun · 2010 · 211 citations

, , +17

Computer-generated residential building layouts

Paul Merrell, Eric Schkufza, Vladlen Koltun · ACM Transactions on Graphics · 2010 · 205 citations

, , +17

Artificial intelligence in architecture: Generating conceptual design via deep learning

İmdat As, Siddharth Pal, Prithwish Basu · International Journal of Architectural Computing · 2018 · 184 citations

, , +16

1–5 of 195

Authors

634

  1. GX
    Grace X. Gu

    University of California, Berkeley, United States

    3 publications · 668 citations

    3

    h-index

  2. CY
    Cunxi Yu

    University of Utah, United States

    3 publications · 119 citations

    3

    h-index

  3. BC
    Benjamin Carrión Schäfer

    The University of Texas at Dallas, United States

    3 publications · 136 citations

    3

    h-index

  4. VK
    Vladlen Koltun

    Intel (United States), United States

    3 publications · 491 citations

    3

    h-index

  5. ES
    Eric Schkufza

    Stanford University, United States

    3 publications · 491 citations

    3

    h-index

1–5 of 634

Institutions

236

  1. Carnegie Mellon University

    Pittsburgh, United States

    8 h-index

    14 publications

    501 citations

  2. Tongji University

    Shanghai, China

    6 h-index

    14 publications

    837 citations

  3. University of California, Berkeley

    Berkeley, United States

    6 h-index

    11 publications

    793 citations

  4. Georgia Institute of Technology

    Atlanta, United States

    6 h-index

    17 publications

    697 citations

  5. Stanford University

    Stanford, United States

    5 h-index

    14 publications

    2K citations

  6. Korea Advanced Institute of Science and Technology

    Daejeon, South Korea

    5 h-index

    11 publications

    680 citations

  7. Massachusetts Institute of Technology

    Cambridge, United States

    5 h-index

    13 publications

    2.2K citations

  8. Chinese University of Hong Kong

    Hong Kong, Hong Kong

    5 h-index

    8 publications

    316 citations

1–8 of 236

Venues

  1. International Journal of Architectural Computing

    IJAC · 6 publications · 399 citations

    6

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 194 citations

    6

    h-index

  3. Automation in Construction

    5 publications · 334 citations

    6

    h-index

  4. 4

    h-index

  5. 4

    h-index

1–5