Materials Informed Digital Acceleration Suite (MIDAS.AI)
Accelerating Materials Design and Manufacturing Process Development
NEW ADVANCED TESTING FACILTY
A Digital Engineering Resource for Industry
MIDAS.AI is LIFT’s integrated computational materials engineering (ICME) platform. It is designed to compress materials development and qualification timelines from decades to years by integrating multiscale simulations, validated materials data, and rapid physical validations via AMPP, CerMaC and HEET into a unified digital engineering workflow
The MIDAS.AI Vision
A Unified Digital Engineering Workflow
See CerMaC Example (POPUP)
Developing new materials and bringing them to scale is traditionally a long, siloed process. MIDAS.AI breaks down these silos. By acting as a flexible and software agnostic middleware capability, MIDAS.AI:
- Digitally optimizes ideal geometries, material chemistries, and manufacturing processes to achieve metrics performance.
- Creates a robust digital thread across multiple digital twins and software packages, ensuring that diverse teams can utilize their preferred software tools without prohibitive barriers.
- Realizes multiscale MBSE across the materials and manufacturing workflow
Key Capabilities
Hypersonic Innovation
With MIDAS.AI, LIFT has built the nation’s only digital hypersonic test ‘facility’ supporting materials design, manufacture, and high enthalpy hypersonic testing using connected ICME modeling tools.
Virtual Validation
The platform seamlessly automates simulation processes, giving rise to accelerated development cycles and supports virtual validation and qualification.
Full Spectrum Engineering
Covers the complete materials and manufacturing spectrum, connecting geometry, chemistry, process, structure, properties, and performance.
MAKING AN IMPACT
Transforming the Speed of Innovation
The implementation of MIDAS.AI drives transformational changes needed for the U.S. to compete in the global advanced manufacturing race, opening doors to never-before-realized accelerations in materials, process.
Compress qualification
timelines and accelerate
time to market.
Significantly increase
efficiency across the
design cycle.
Reduce project attrition
(mitigate risk) through
data-driven predictability.
FEATURED WEBINAR
Advancing ICME for U.S. Casting & Forging Industries
Learn how LIFT is leading a focused effort to identify, quantify, and close key gaps in the implementation of ICME across domestic casting and forging production, and how you can engage in the next phase of projects and collaborations.
This session will highlight how Integrated Computational Materials Engineering (ICME) is working to reshape the way materials and components are designed, produced, qualified, and scaled. By integrating advanced modeling with materials and process data, ICME has the potential to reduce risk, cost, and time from concept to qualified part.
Partner with LIFT, Explore the Benefits of MIDAS.AI
Interested in utilizing MIDAS.AI? Engage with LIFT to explore potential projects, technical partnerships, software integrations, and data collaborations.
- Discuss a materials challenge
- Connect with LIFT to evaluate a material, process, component, or qualification challenge.
- Identify opportunities to apply modeling, simulation, machine learning, or virtual validation to an active development program.