HiDeNN-MCA: Hierarchical Deep-learning Neural Network enabled Multiresolution Clustering Analysis Software Toolkit for Evaluation of Mechanical Properties and Performance of Composite Structures

TECHNOLOGY SUMMARY

HiDeNN-MCA is a data-driven physics-based multiscale modeling software tool for evaluating mechanical properties and performances of composite structures while fully considering the microstructural features. It is established based on the integration of data science with mechanistic principles discovered using deep-learning neural networks.

AREA/MATURITY/AWARDS

Primary Application Area: AI, Data, Cyber, Software

Technology Development Status: Prototype

Technology Readiness Level: TRL 3

Vetted Programs/Awards: One DoD SBIR Phase I award in 2022

SHOWCASE SUMMARY

Organization Type: Early-stage Startup (Seed)

Website: https://hidennai.wordpress.com/

National Innovation Awardee

MARKET KEYWORDS

Market Keywords: composites, mechanical properties, machine learning