About Karax
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Karax develops deep-learned engines for myriad areas of material science, ranging from the discovery of novel polymeric materials to the improvement of compound for certain applications, with particular focus on polymeric materials. Our super-constrained deep-learned engines provide an out-of-the-box solution for predicting polymer material properties and accelerating the design of new polymeric materials which can be used by both novice and experienced users.
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Polymer degradation
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Polymer aging prediction
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Polymer durability
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Polymer life prediction
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Polymer performance degradation
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Polymer material aging
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Polymer part life cycle
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Polymer component degradation
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Polymer part aging
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Polymer part life prediction
K- Suite Software
Physics-Driven AI Engines
Compared with classical simulation tools, Karax physics-driven AI toolkit, K-Suit, can describe material behavior and damage accumulation,considerably more accurate with significantly less testing data. The main advantage of our technology is incorporation of physics law and expert opinions into the core engine. We particularly develop engines that are suited for
1. Polymer material design and optimized search,
2. Compound optimization for targeted behavior,
3. Predicting properties of polymeric materials and its evolution
4. Polymer degradation detection and Identification of critical Zones
Testing
Accelerated Age
Services
Material-Specific Engine training
Our AI-driven material design tools can design digital twins of a physical twin and assist in the acceleration of material innovation.
Training
You will discover how to use FEA models to set up quasi-static events. Recognize when this strategy is appropriate and when it is not.
System-level FE simulations
Development of custom built material design engines for polymer material property prediction, polymer material design and discovery and inverse material design for polymeric materials.
Consulting
Engaging in project-driven involvement that helps customers resolve challenging problems and coaches’ top engineers to use the newest tools and methods.
Expert Witness
Veteran of product development expert witness support available to assist with all product-related difficulties to support client cases.
Applications
Considering low computational cost and short development cycle of our Physics-based AI-driven engines, they provide a powerful alternative for processing of existing data with significant cost advantage in analysis, design and optimization of the polymer materials.
Resins
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Composites
Coatings
Elastomers
Adhesives
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Thermal Pastes
Insulation
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Di-electrics
Engine can be used to help designers in selection and maintenance of composite materials by providing input on polymer degradation over times. Our engine can particularly describe the following behaviors for epoxy, PU, Cyanate and carbon-carbon composites.
- Pyrolysis
-Ablation
-Irradiation
Coatings can be optimized for their anti-reflection, or refractive index matching performances in specific conditions, such as automotive industry or space.
Typical materials are silicon dioxide, tantalum pentoxide, magnesium
fluoride, zinc sulfide and thorium fluoride
Gaskets, seals and O-rings can be specifically designed to achieve certain properties in extreme environments, such as high pressure, high temperature, corrosive, or radiate environments. Fluorinated elastomers can be specifically designed to excellent corrosion resistance, but are not as
good under radiation.
Our engines can accelerate the search process for new formulations to achieve target-specific products that can stand the test of severe environments such as
- Extreme Vibrations
- Intense Heat
-Extreme Cold
- Ionizing Radiation
-Hot & wet conditions
In extreme applications, Cable and wiring insulation are a major concern. Our engine can help the designers to estimate performance of certain insulation materials against projected environment. The engine is specially relevant in space electronics, such as in bus, thruster and antenna deployment areas, or in Nuclear cables and wires.
About Us:
Karax was founded in 2019 to help address industry unmet needs on reliability of polymeric materials in extreme environment. We have bought together a team of experts to mature computational know-how and Material Science to develop software to simulate polymer aging and polymer degradation in different applications.