Generative Material Synthesis

Generative Material Synthesis is a computational framework that belongs to the class of material-aware design methods, distinguished by its capacity to algorithmically generate novel material compositions and microstructures through data-driven models, thereby enabling the autonomous exploration and optimization of material properties according to specified performance criteria.

47

Publications

2.4K

Citations

166

Authors

65

Institutions

Publications per year

2017–2026

44

Authors

166

  1. VD
    Valentin Deschaintre

    Adobe Systems (United States), United States

    4 publications · 127 citations

    4

    h-index

  2. MH
    Miloš Hašan

    Adobe Systems (United States), United States

    4 publications · 136 citations

    4

    h-index

  3. PG
    Paul Guerrero

    Adobe Systems (United States), United States

    4 publications · 136 citations

    4

    h-index

  4. KS
    Kalyan Sunkavalli

    Adobe Systems (United States), United States

    3 publications · 111 citations

    3

    h-index

  5. MJ
    Markus J. Buehler

    Massachusetts Institute of Technology, United States

    3 publications · 107 citations

    3

    h-index

1–5 of 166

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 136 citations

    5

    h-index

  2. ACM Transactions on Graphics

    TOG · 4 publications · 251 citations

    4

    h-index

  3. npj Computational Materials

    2 publications · 218 citations

    2

    h-index

  4. Scientific Reports

    1 publications · 73 citations

    2

    h-index

  5. Computer-Aided Design

    2 publications · 42 citations

    2

    h-index

1–5