Description: Materials Modeling Hub (MMH) software integrates modeling, product design, manufacturing, and usage cycle into a digital ecosystem to accelerate, simplify, and strengthen ideation through implementation. When combined with a viable materials information management strategy, modeling techniques can replicate and predict experimental outcomes and material performance with growing accuracy. In industries where production costs are high and performance is critical, benefits of modeling can be seen over the entire product lifecycle, advising design and processing preproduction to significantly reduce development cost and time-to-market. The value of modeling is irrefutable, and researchers continue to produce an influx of new modeling algorithms. However, challenges in standardizing usage, understanding limitations, and managing data hinder use. While some large organizations have designed tools to meet limited and highly specialized needs, the complex nature of modeling deters many organizations altogether. With a void in commercial software that can automate and simplify modeling and data storage processes, few organizations fully leverage modeling technology. MMH has been designed to fill this void. At the close of Phase 1, prototype software, refined through external testing and collaboration, will offer an adaptive, interoperable, traceable, and scalable solution that not only supports both physics and AI-based models through basic plug-in-play functionality, but also their integration to offer a multiscale solution. Here, experimental and virtual data can be seamlessly and dynamically used to improve modeling fidelity and afford AI deep learning. MMH forwards NASA goals of addressing interoperability challenges and improving the accessibility of data and analysis tools to drive collaboration and advance modeling technologies. As a result, MMH will directly augment research within NASA’s Materials and Structures Division and significantly further NASA’s 2040 Vision.

Benefits: MMH Modeling software will support NASA-developed MAC/GMC and Machine Learning Surrogate models to directly augment broad materials research, in particular within NASA’s Materials and Structures Division. Further, MMH’s database integration leverages NASA’s past and ongoing efforts within the Material Data Management Consortium and at Glenn Research Center, where a database schema to support modeling data is under development. Employing this schema within the MMH will allow immediate and significant NASA impact and further their 2040 Vision

MMH standardizes, automates, and integrates modeling analysis and data management, simplifying the complex processes that inhibit widespread industry adoption. By streamlining modeling implementation, organizations at all scales can improve development costs, productivity, traceability, time-to-market, and more. Until now, few have fully leveraged these tools, but MMH makes innovation accessible.