U.S. funding $100 million for the use of AI to develop sustainable semiconductor materials

From Sebastian Gerstl | Translated by AI 2 min Reading Time

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The United States aims to advance the use of AI and sustainability in the chip industry. Therefore, the U.S. Department of Commerce has announced it will provide $100 million to support the use of artificial intelligence in developing new sustainable semiconductor materials.

The United States has announced a competition for the use of machine learning and AI technologies to develop sustainable semiconductor materials.(Image: Pixabay)
The United States has announced a competition for the use of machine learning and AI technologies to develop sustainable semiconductor materials.
(Image: Pixabay)

The U.S. Department of Commerce is launching an open competition for the use of AI-driven autonomous experiments. The aim of the competition is to demonstrate how Artificial Intelligence can aid in the development of new sustainable semiconductor materials and processes. The materials developed in this way are intended to be introduced within five years.

The program, funded with $100 million sourced from the more than $50 billion allocated under the US Chips Act, aims to support universities, national research centers, and private sector companies in the development of AI-driven autonomous experiments for sustainable semiconductor manufacturing. As a model for this program, existing AI-driven processes already employed in the research of new battery materials are cited. This initiative highlights the government's commitment to fostering innovation and sustainability in key technological areas through significant financial support and collaboration across academia and industry.

"Currently, it often takes years for new semiconductor materials to be production-ready, and they are incredibly resource-intensive," said US Commerce Secretary Gina Raimondo at the announcement of the program. "If we want to rapidly and sustainably expand American semiconductor production in light of the increasing threats from the climate crisis, we must use AI to swiftly develop sustainable material processes. This new program will harness the tremendous capabilities of AI to unlock the full potential of our workers and innovators, while also building a safer and more sustainable domestic semiconductor industry."

AI-supported autonomous research experiments, also referred to as "AI-assisted Autonomous Experimentation" (AI/AE), involve a method used in materials research and development where automated synthesis and characterization tools are combined with an AI "planner" to determine the next set of experiments in a series. This accelerates the development of new materials and the collection of material data. In addition to speeding up processes, it also facilitates collaboration across multiple research institutions—whether at universities, research centers, or corporate R&D facilities. This integration of AI in the experimental planning phase helps optimize resource usage, reduce the time for experimental cycles, and enhance the innovative output across different teams and locations.

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