<ul data-eligibleForWebStory="false"><li>A new data-driven framework, called Symbolic Identification of Tensor Equations (SITE), has been proposed for identifying tensor equations.</li><li>SITE represents tensor equations using a host-plasmid structure inspired by multidimensional gene expression programming (M-GEP).</li><li>SITE introduces innovations like a dimensional homogeneity check and a tensor linear regression technique to enhance efficiency in identifying tensor relationships.</li><li>Validation of SITE using benchmark scenarios demonstrates its ability to recover target equations accurately from data and its potential for data-driven discovery of tensor equations.</li></ul>

Symbolic identification of tensor equations in multidimensional physical fields

Discover more