Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Cybernetica specializes in providing Nonlinear Model Predictive Control (NMPC) utilizing mechanistic models. Our innovative software solution, Cybernetica CENIT, features a versatile architecture capable of addressing diverse industrial challenges by delivering optimal strategies. This includes advanced multivariable optimal control, predictive control mechanisms, and intelligent feed-forward strategies, along with efficient handling of constraints. Furthermore, our adaptive control capabilities leverage state and parameter estimation, incorporating feedback from indirect measurements via the process model. The use of nonlinear models allows for effective operation across extensive ranges, enhancing the management of nonlinear processes. This leads to a diminished reliance on step-response experiments and bolstered accuracy in state and parameter estimations. Additionally, we offer control solutions for both batch and semi-batch operations, efficiently managing nonlinear processes that function under fluctuating conditions. Our technology also ensures optimal grade transitions in continuous operations, safe supervision of exothermic processes, and control of unmeasured variables, including conversion rates and product quality. As a result, we contribute to reduced energy consumption and a lower carbon footprint, while also enhancing overall process efficiency. In summary, Cybernetica is committed to advancing industrial control solutions that optimize performance and sustainability.
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
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cybernetica
Country
Norway
Website
cybernetica.no/technology/model-predictive-control/
Vendor Details
Company Name
Quantum Materials
Country
South Korea
Website
semiprocesslab.com