Detecting possible pairs of materials for composites using a material word co-occurrence network.

ABSTRACT: Composite materials are popular because of their high performance capabilities, but new material development is time-consuming. To accelerate this process, researchers studying material informatics, an academic discipline combining computational science and material science, have developed less time-consuming approaches for predicting possible material combinations. However, these processes remain problematic because some materials are not suited for them. The limitations of specific candidates for new composites may cause potential new material pairs to be overlooked. To solve this problem, we developed a new method to predict possible composite material pairs by considering more materials than previous techniques. We predicted possible material pairs by conducting link predictions of mat

SUBMITTER: Ishii C 

PROVIDER: S-EPMC10817182 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature