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SandBox Semiconductor to present at the AVS International Symposium and Exhibition on the role of AI and machine learning for accelerating process development in semiconductor manufacturing

AUSTIN, TX – November 7, 2023 – SandBox Semiconductor, a pioneer in applying physics-based, AI-enabled modeling to accelerate the development of semiconductor manufacturing processes, will participate in the 2023 AVS International Symposium and Exhibition taking place November 5-10, 2023 at the Oregon Convention Center in Portland, OR. Dr. Sebastian Naranjo, Computational Engineer at SandBox Semiconductor will give a presentation on Thursday discussing how advances in machine learning, analysis, and visualization technology are helping to accelerate recipe and process modeling optimization in semiconductor manufacturing.

“The fact that AVS is dedicating a full session to AI and machine learning is a testament to the growing importance of technology in the semiconductor manufacturing process,” said Dr. Meghali Chopra, SandBox Semiconductor CEO & Co-founder. “We’re looking forward to discussing how it can be applied to recipe optimization for deposition to accelerate process development, get new products to market faster, and reduce costs.”

WHO: Dr. Sebastian Naranjo, Computational Engineer, SandBox Semiconductor

WHAT: Rapid Optimization of Gap-Fill Recipes Using Machine Learning

WHEN: Thursday, November 9, 2023 at 3:40 pm PT

WHERE: Oregon Convention Center, 777 NE Martin Luther King Jr Blvd, Portland, OR 97232

WHY: Semiconductor manufacturing is a complicated process that involves up to 1,200 steps. Currently, process development for each unit process is performed sequentially, one step after another. SandBox Studio™ AI combines physics-based modeling with AI to allow engineers to streamline process development to shrink timelines and decrease dependency on extensive physical experiments. The AVS presentation will discuss how machine learning can enable process engineers to co-optimize multiple unit processes at a time and dramatically alleviate the cost, time and complexity issues associated with recipe development. The presentation focuses on a gap-fill process flow.

About SandBox Semiconductor

Founded in 2016, SandBox Semiconductor is a pioneer in developing AI based software to accelerate process development for semiconductor manufacturing. Its fully integrated no-code AI tool suite gives process engineers the ability to build their own physics-based, AI-enabled models to solve challenges during process definition, ramp-up, and high-volume manufacturing.

Using SandBox’s physics-based models and machine learning tools, engineers can virtually simulate, predict, and measure process outcomes. Even with small sets of experimental data, SandBox’s tools can extract valuable insights and patterns, helping engineers to gain a deeper understanding of manufacturing processes and to make informed decisions about recipe adjustments. SandBox leverages expertise in numerical modeling, machine learning, and manufacturing optimization to develop its proprietary toolsets, which are used by the world’s leading chip manufacturers and semiconductor equipment suppliers. SandBox is based in Austin, Texas. More information can be found here:


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