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Average Ratings 0 Ratings
Description
ExoMatter is revolutionizing the traditionally tedious and expensive process of materials research and development by harnessing advanced AI technologies and data-mining capabilities. The platform offers a tailored selection of the most appropriate materials for your specific needs. By integrating data from various scientific repositories and your own datasets, ExoMatter enhances this information through AI, enabling you to evaluate a diverse array of multidimensional physical, chemical, and engineering factors, alongside sustainability concerns and projected costs. Our commitment to using scientific materials data aims to identify superior and more eco-friendly materials. With our innovative materials research platform, you can swiftly navigate through millions of materials, using AI-driven tools that not only enrich the data but also provide you with comprehensive control over your selection criteria. Leverage ExoMatter’s unique scoring and ranking system to compile a refined list of materials that best suit your application, ensuring that you make informed and efficient choices in your materials selection process. This approach not only streamlines your research efforts but also significantly enhances the overall quality and sustainability of your material choices.
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
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
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
No
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
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
ExoMatter
Founded
2022
Country
Germany
Website
www.exomatter.ai/
Vendor Details
Company Name
Quantum Materials
Country
South Korea
Website
semiprocesslab.com
Product Features
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No