Abstract
New research on artificial intelligence is the subject of a new report. According to news originating from the University of Edinburgh Edinburgh by NewsRx correspondents, research stated, "Machine intelligence continues to rise in popularity as an aid to the design and discovery of novel metamaterials." The news journalists obtained a quote from the research from University of Edinburgh Edinburgh: "The properties of metamaterials are essentially controllable via their architectures and until recently, the design process has relied on a combination of trial-and-error and physics-based methods for optimization. These processes can be time-consuming and challenging, especially if the design space for metamaterial optimization is explored thoroughly. Artificial intelligence (AI) and machine learning (ML) can be used to overcome challenges like these as pre-processed massive metamaterial datasets can be used to very accu- rately train appropriate models. The models can be broad, describing properties, structure, and function at numerous levels of hierarchy, using relevant inputted knowledge. Here, we present a comprehensive review of the literature where state-of-the-art machine intelligence is used for the design, discovery and development of metamaterials. In this review, individual approaches are categorized based on methodology and application."
NETL
NSTL