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Ratings and Reviews 0 Ratings
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What is ExoMatter?
ExoMatter is transforming the historically laborious and costly journey of materials research and development by leveraging cutting-edge AI technologies alongside robust data-mining capabilities. The platform presents a customized assortment of the most suitable materials tailored to your unique requirements. By amalgamating data sourced from a variety of scientific repositories and your own datasets, ExoMatter refines this information through the application of AI, allowing for the assessment of a wide range of multidimensional physical, chemical, and engineering factors, in addition to sustainability considerations and anticipated costs. Our dedication to utilizing scientific materials data is aimed at pinpointing superior and more environmentally friendly materials. With our state-of-the-art materials research platform, you can efficiently sift through millions of materials, employing AI-driven tools that not only enhance the data but also grant you substantial control over your selection parameters. Take advantage of ExoMatter’s distinctive scoring and ranking system to create a curated list of materials that perfectly align with your application, ensuring that your decisions in materials selection are both informed and efficient. This innovative approach not only quickens your research processes but also significantly boosts the overall quality and sustainability of your material decisions, ultimately contributing to a greener future. In doing so, ExoMatter empowers researchers and developers alike to discover new possibilities in material science.
What is DIGIMU?
DIGIMU® specializes in generating digital polycrystalline microstructures that faithfully represent the diverse properties of materials, thereby accommodating the complex topological characteristics of the microstructure. The boundary conditions set for the Representative Elementary Volume (REV) are designed to replicate the conditions experienced by a material point on a larger scale, especially during relevant thermomechanical cycles. By utilizing a Finite Element formulation, the software effectively models a range of physical phenomena associated with metal forming operations, including recrystallization, grain growth, and Zener pinning due to secondary phase particles. To boost digital precision while reducing computation times, DIGIMU® leverages sophisticated automated anisotropic meshing and remeshing adaptation technologies, which facilitate an accurate depiction of grain boundaries while optimizing element usage. This cutting-edge methodology not only accelerates the computational workflow but also enhances the dependability of the simulations, establishing DIGIMU® as an indispensable resource for material scientists. Additionally, its ability to manage complex simulations without sacrificing accuracy positions DIGIMU® at the forefront of materials research and development.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
ExoMatter
Date Founded
2022
Company Location
Germany
Company Website
www.exomatter.ai/
Company Facts
Organization Name
TRANSVALOR
Date Founded
1984
Company Location
France
Company Website
www.transvalor.com/en/digimu
Categories and Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Categories and Features
Simulation
1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling
