Displacement Transduction

Displacement Transduction is a computational framework that transforms input representations by explicitly modeling positional shifts or spatial rearrangements of elements within structured data, distinguishing itself from other transduction methods through its focus on geometric or sequential displacement as the primary mechanism of information processing.

10

Publications

546

Citations

38

Authors

16

Institutions

Publications per year

2017–2026

0

Authors

38

  1. ML
    M. L. Roukes

    California Institute of Technology, United States

    2 publications · 178 citations

    2

    h-index

  2. GK
    Goutam Koley

    University of South Carolina, United States

    2 publications · 62 citations

    2

    h-index

  3. AT
    Abdul Talukdar

    University of South Carolina, United States

    2 publications · 62 citations

    2

    h-index

  4. TF
    T. F. Reed

    University of South Alabama, United States

    1 publications · 13 citations

    1

    h-index

  5. DL
    Dongkyu Lee

    Oak Ridge National Laboratory, United States

    1 publications · 47 citations

    1

    h-index

1–5 of 38

Venues

  1. Nano Letters

    1 publications · 120 citations

    1

    h-index

  2. Applied Physics Letters

    1 publications · 58 citations

    1

    h-index

  3. IEEE Electron Device Letters

    1 publications · 15 citations

    1

    h-index

  4. Journal of Microelectromechanical Systems

    1 publications · 63 citations

    1

    h-index

  5. Virus Research

    1 publications · 22 citations

    1

    h-index

1–5