SBIR/STTR Research Award

Materials Modeling Hub: Interoperable and Collaborative Multi-Scale Modeling Ecosystem for Data Analysis, Visualization, and Management

Award identifier 3a12a966fbd41dd436241451cd0499398e52738bce1ea0a844c6a849a51c42b6Awarding agency National Aeronautics and Space Administration

Award amount

$148,110

Program and phase

SBIR · Phase I

Award year

2023

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
MATERIALS DATA MANAGEMENT INC
Proposal award date
2023-07-24
Contract end date
2024-02-02
UEI
F2N7P99SKUP1
Solicitation number
SBIR_23_P1
Topic code
S17

Research abstract

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 NASArsquo;s Materials and Structures Division and significantly further NASArsquo;s 2040 Vision.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

2 SBIR/STTR records share this UEI (2023–2025). Reported award amounts total $304,164. Reported amounts are not federal obligations.

Phases: Phase I

Agencies: National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

Back to SBIR/STTR Research Awards

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