Artificial Intelligence-Guided Inverse Design of Deployable Thermo-Metamaterial Implants.

ABSTRACT: Current limitations in implant design often lead to trade-offs between minimally invasive surgery and achieving the desired post-implantation functionality. Here, we present an artificial intelligence inverse design paradigm for creating deployable implants as planar and tubular thermal mechanical metamaterials (thermo-metamaterials). These thermo-metamaterial implants exhibit tunable mechanical properties and volume change in response to temperature changes, enabling minimally invasive and personalized surgery. We begin by generating a large database of corrugated thermo-metamaterials with various cell structures and bending stiffnesses. An artificial intelligence inverse design model is subsequently developed by integrating an evolutionary algorithm with a neural network. This model allo

SUBMITTER: Jiao P 

PROVIDER: S-EPMC11744508 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature