Material Inference

Material Inference is a singular academic contribution—such as a method, model, framework, theory, construct, dataset, task, or metric—that constitutes a discrete, paper-level instantiation within the domain of Material Representation, distinguished by its direct substantive role in advancing representational knowledge or practice.

7

Publications

206

Citations

26

Authors

12

Institutions

Publications per year

2017–2026

4

Authors

26

  1. JZ
    Jun Zhou

    Emory University, United States

    1 publications · 26 citations

    1

    h-index

  2. TR
    Tobias Ritschel

    University College London, United Kingdom

    1 publications · 40 citations

    1

    h-index

  3. KT
    Kai Tanter

    Monash University, Australia

    1 publications · 17 citations

    1

    h-index

  4. CL
    Chenxi Liao

    American University, United States

    1 publications · 24 citations

    1

    h-index

  5. YG
    Yuan Gao

    Emory University, United States

    1 publications · 26 citations

    1

    h-index

1–5 of 26

Venues

  1. Informal Logic

    1 publications · 30 citations

    1

    h-index

  2. ACM Transactions on Graphics

    TOG · 1 publications · 40 citations

    1

    h-index

  3. PLoS Computational Biology

    1 publications · 24 citations

    1

    h-index

  4. Philosopher's Imprint

    1 publications · 23 citations

    1

    h-index

  5. The Review of Symbolic Logic

    1 publications · 17 citations

    1

    h-index

1–5