Posted in | News | Semiconductor

ACM Research Launches New Furnace Tool for Thermal Atomic Layer Deposition to Support Advanced Semiconductor Manufacturing Requirements

ACM Research, Inc. (ACM), a leading supplier of wafer processing solutions for semiconductor and advanced wafer-level packaging (WLP) applications, today announced that it has expanded its 300mm Ultra Fn furnace dry processing platform with the introduction of its Ultra Fn A furnace tool.

Image Credit: ACM Research, Inc.

The Ultra Fn A system adds thermal atomic layer deposition (ALD) to ACM’s extensive list of supported furnace applications. The company also announced that it has shipped the first Ultra Fn A furnace tool to a top-tier China-based foundry manufacturer. The product is expected to be qualified in 2023.

“As logic nodes continue to shrink, customers are increasingly looking for suppliers that are willing to collaborate to meet their advanced process requirements, like ALD,” said David Wang, CEO and president of ACM. “ALD is one of the fastest growing applications for manufacturing at advanced nodes, making it a critical new capability for our furnace portfolio. ACM’s deep understanding of the entire semiconductor manufacturing process and our innovative capabilities allow us to quickly develop new applications – wet and dry – to meet emerging market requirements. Our new ALD tool builds on our extensive furnace platform, which also includes support for atmospheric, low-pressure and ultra-high vacuum furnace options.”

About ACM’s Ultra Fn A Furnace Tool

ACM’s new thermal ALD tool deposits both silicon nitride (SiN) and silicon carbide nitride (SiCN) films. The initial Ultra Fn A tool is expected to be used to manufacture the side wall spacer layer in a 28nm logic manufacturing flow, a process which demands a very low etch rate and good step coverage.  ACM’s Ultra Fn A furnace tool with proprietary technology has achieved an improvement in uniformity in simulations as compared with competitive approaches.

ACM’s Ultra Fn A tool builds on the success of ACM’s Ultra Fn furnace platform, which meets the dry processing challenges of LPCVD, oxidation, ultra-high vacuum anneal for alloy, high temperature and other common furnace processes. The Ultra Fn A furnace tool was designed from the ground-up to meet best-in-class requirements for high-throughput batch ALD processing. It can be easily customized with minor component and layout changes, which contributed to accelerated development of new types of ALD processes. Its innovative design also combines ACM’s proven software technology with new hardware that improves durability and reliability, as well as ACM’s proprietary process-control IP to provide rapid, stable process control.

Learn more about the Ultra Fn Furnace portfolio and supported applications.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    ACM Research, Inc.. (2022, September 28). ACM Research Launches New Furnace Tool for Thermal Atomic Layer Deposition to Support Advanced Semiconductor Manufacturing Requirements. AZoM. Retrieved on November 21, 2024 from https://www.azom.com/news.aspx?newsID=60116.

  • MLA

    ACM Research, Inc.. "ACM Research Launches New Furnace Tool for Thermal Atomic Layer Deposition to Support Advanced Semiconductor Manufacturing Requirements". AZoM. 21 November 2024. <https://www.azom.com/news.aspx?newsID=60116>.

  • Chicago

    ACM Research, Inc.. "ACM Research Launches New Furnace Tool for Thermal Atomic Layer Deposition to Support Advanced Semiconductor Manufacturing Requirements". AZoM. https://www.azom.com/news.aspx?newsID=60116. (accessed November 21, 2024).

  • Harvard

    ACM Research, Inc.. 2022. ACM Research Launches New Furnace Tool for Thermal Atomic Layer Deposition to Support Advanced Semiconductor Manufacturing Requirements. AZoM, viewed 21 November 2024, https://www.azom.com/news.aspx?newsID=60116.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.