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What is Semi Process Lab?

The Semi Process Lab is an innovative online platform specifically designed for professionals in the semiconductor and display fields, allowing them to accurately forecast process results. Its extensive array of Design · Predict tools incorporates numerous modeling methods for techniques like ALD, CVD, PECVD, PVD, RIE, and ALE, which are intended to help estimate vital metrics such as film growth, thickness, wafer uniformity, step coverage, and etch profiles. Users can delve into wafer map analyses and visualize intricate structures in 3D, including trenches, vias, or multi-layered designs, while also examining various equipment setups and device configurations. The platform promotes experimentation by offering model recommendations that help refine process parameters or create new experimental methodologies. In addition, it seamlessly integrates measured equipment data for calibration and provides a selection of design templates along with AI-enhanced image generation capabilities. Users have the convenience of exporting their results in various formats like PPTX, Word, Excel, and PNG, and they can also utilize free calculators for assessing film uniformity, ALD growth per cycle, etch selectivity, and step coverage. Ultimately, this web application not only delivers prediction outcomes as process-design estimates but also encourages users to validate these predictions on their specific equipment for accuracy. By fostering a comprehensive approach to design and analysis, the platform significantly enhances the productivity and efficiency of engineers in their optimization efforts. This robust functionality allows professionals to make informed decisions and drive innovation in their respective fields.

What is Grantu EduPack?

Ansys Granta EduPack, formerly recognized as CES EduPack, represents an outstanding repository of educational resources designed to assist educators in enhancing courses that concentrate on materials across engineering, design, science, and sustainability. This platform plays a crucial role in strengthening undergraduate education in materials science by providing an extensive database comprising materials and processes, selection instruments, and various additional resources. The program is organized into three distinct tiers, enabling students to access the right level of information that corresponds with their academic progress. Moreover, Granta EduPack supports a wide array of teaching methodologies, addressing both design-focused and science-centric approaches, as well as environments that emphasize problem-based learning. As learners move from pre-university through to postgraduate education, they are equipped with databases and tools tailored to their specific educational stages, which promotes effective learning throughout their academic careers. This careful structuring ultimately positions Granta EduPack as an indispensable resource for both educators and students, facilitating a deeper understanding of materials science. It allows for a more interactive and engaging learning experience that can evolve alongside the needs of the students.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Plans use credits. New accounts receive free signup credits; additional credits are available through subscriptions or credit packs.

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Quantum Materials

Company Location

South Korea

Company Website

semiprocesslab.com

Company Facts

Organization Name

Ansys

Date Founded

1970

Company Location

United States

Company Website

www.ansys.com/products/materials/granta-edupack

Categories and Features

Materials Science

Not specified

Categories and Features

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