AI-dente: an open machine learning based tool to interpret nano-indentation data of soft tissues and materials.

ABSTRACT: Nano-indentation is a promising method to identify the constitutive parameters of soft materials, including soft tissues. Especially when materials are very small and heterogeneous, nano-indentation allows mechanical interrogation where traditional methods may fail. However, because nano-indentation does not yield a homogeneous deformation field, interpreting the resulting load-displacement curves is non-trivial and most investigators resort to simplified approaches based on the Hertzian solution. Unfortunately, for small samples and large indentation depths, these solutions are inaccurate. We set out to use machine learning to provide an alternative strategy. We first used the finite element method to create a large synthetic data set. We then used these data to train neural networks to i

SUBMITTER: Giolando P 

PROVIDER: S-EPMC10499084 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature