Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
DIGIMU® creates digital polycrystalline microstructures that accurately reflect the material's heterogeneities, ensuring compliance with the intricate topological features of the microstructure. The boundary conditions applied to the Representative Elementary Volume (REV) mimic the experiences of a material point at the macroscopic level, particularly during the thermomechanical cycles relevant to that specific point. Utilizing a Finite Element formulation, the software simulates the various physical phenomena occurring in metal forming processes, such as recrystallization, grain growth, and Zener pinning caused by second phase particles. To enhance digital accuracy and minimize computation times, DIGIMU® employs advanced automated anisotropic meshing and remeshing adaptation technology, which allows for a detailed representation of grain boundaries while optimizing the number of elements used. This innovative approach not only streamlines the computational process but also improves the reliability of the simulations, making it a powerful tool for material scientists.
Description
The Semi Process Lab serves as an online environment tailored for semiconductor and display engineers, enabling them to predict process outcomes effectively. Its suite of Design · Predict tools encompasses various modeling techniques for ALD, CVD, PECVD, PVD, RIE, and ALE, aimed at estimating critical parameters such as film growth, thickness, wafer uniformity, step coverage, and etch profiles. Users have the capability to analyze wafer maps and visualize complex structures in 3D, including trenches, vias, or stacked designs, while also exploring equipment configurations and device layouts. The platform encourages experimentation by providing model suggestions to fine-tune process parameters or develop new experimental protocols. Additionally, it facilitates the integration of measured equipment data for calibration purposes and includes a variety of design templates alongside AI-driven image generation. Users can conveniently export their findings in multiple formats, such as PPTX, Word, Excel, and PNG, and also access free calculators for film uniformity, ALD growth per cycle, etch selectivity, and step coverage. Ultimately, this web application presents prediction outcomes as process-design estimates, which users are advised to verify on their specific equipment to ensure accuracy. This comprehensive approach not only enhances the design process but also empowers engineers to optimize their workflows effectively.
API Access
Has API
No
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Plans use credits. New accounts receive free signup credits; additional credits are available through subscriptions or credit packs.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
TRANSVALOR
Founded
1984
Country
France
Website
www.transvalor.com/en/digimu
Vendor Details
Company Name
Quantum Materials
Country
South Korea
Website
semiprocesslab.com
Product Features
Simulation
1D Simulation
No
3D Modeling
No
3D Simulation
No
Agent-Based Modeling
No
Continuous Modeling
No
Design Analysis
No
Direct Manipulation
No
Discrete Event Modeling
No
Dynamic Modeling
No
Graphical Modeling
No
Industry Specific Database
No
Monte Carlo Simulation
No
Motion Modeling
No
Presentation Tools
No
Stochastic Modeling
No
Turbulence Modeling
No