Boolean Feature Operations

Boolean Feature Operations is a modeling technique in feature-based design that enables the creation of complex geometries by applying Boolean set operations—such as union, difference, and intersection—to individual feature primitives within a parametric and constructive solid geometry framework.

6

Publications

1.2K

Citations

31

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

31

  1. FM
    Frederick M. Boyce

    Massachusetts General Hospital, United States

    1 publications · 582 citations

    1

    h-index

  2. CR
    Charu Ramakrishnan

    Stanford University, United States

    1 publications · 582 citations

    1

    h-index

  3. KS
    Klaus Schild

    Daimler (Germany), Germany

    1 publications · 470 citations

    1

    h-index

  4. HL
    Hannah L. Bernstein

    Stanford University, United States

    1 publications · 582 citations

    1

    h-index

  5. SY
    Soo Yeun Lee

    Stanford University, United States

    1 publications · 582 citations

    1

    h-index

1–5 of 31

Venues

  1. Nature Methods

    1 publications · 582 citations

    1

    h-index

  2. International Journal of Production Research

    1 publications · 14 citations

    1

    h-index

  3. Journal of Mechanical Design

    1 publications · 31 citations

    1

    h-index

  4. Neural Computation

    1 publications · 44 citations

    1

    h-index

  5. OpenGrey (Institut de l'Information Scientifique et Technique)

    Repository · 1 publications · 470 citations

    1

    h-index

1–5