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.
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
Organization Type: Early-stage Startup (Seed)
Market Keywords: composites, mechanical properties, machine learning