UC Berkeley to Join Applied Materials' EPIC Center for AI Chip R&D

Applied Materials announced that the University of California, Berkeley, will join its Silicon Valley-based Equipment and Process Innovation and Commercialization (EPIC) Center as a research partner, giving academic scientists direct access to industry-grade semiconductor manufacturing equipment in an effort to shrink the gap between laboratory breakthroughs and commercial chip production.

The collaboration addresses a long-standing bottleneck in semiconductor development: even when university labs achieve breakthroughs in new materials or processes, the findings must pass through extensive equipment adaptation, process integration, and mass-production validation before they can enter a commercial wafer fabrication facility. By bringing Berkeley researchers into the EPIC environment, Applied Materials aims to let academics work earlier with the same tools deployed by leading chipmakers worldwide.

"The EPIC Center was established to bring together the best talent from industry and academia in a high-efficiency R&D environment that closely mirrors actual manufacturing needs, in order to significantly accelerate the development and commercialization of next-generation semiconductor technologies," said Prabu Raja, president of Applied Materials' Semiconductor Products Group.

Raja said few universities have shaped modern chip manufacturing as durably as Berkeley, and that the EPIC partnership would both strengthen the pipeline from research to production and serve as a platform for training the next generation of semiconductor engineers.

Under the terms of the collaboration, Berkeley researchers will work directly alongside Applied Materials scientists and engineers at the EPIC facility. Compared with a typical university lab, the center offers equipment and process conditions closer to what commercial chipmakers actually use — allowing researchers to speed up technical iteration, process integration, and validation.

UC Berkeley's involvement is rooted in a long track record of foundational semiconductor research. The university established a dedicated integrated-circuit prototyping laboratory in 1962, and its subsequent contributions include the SPICE circuit simulator — which allows chip designers to model circuit behavior in software before committing to hardware — and the FinFET (fin field-effect transistor), a three-dimensional transistor architecture that is now standard in advanced logic manufacturing worldwide.

"Berkeley researchers' innovative work has advanced chip technology and enabled the growth in computing power that has ushered in the AI era," said Mark Asta, dean of Berkeley's College of Engineering.

The partnership also extends an existing relationship. The two institutions have previously collaborated through semiconductor research programs and shared laboratory resources, including Berkeley's Emerging Technologies Research (BETR) center and programs under the Center for Information Technology Research in the Interest of Society (CITRIS). Many Berkeley alumni currently work at Applied Materials as engineers, scientists, and managers, and the company recruits from the university each year.

EPIC — Equipment and Process Innovation and Commercialization — is slated to begin operations in 2026 at its Silicon Valley site. Applied Materials has described it as the largest single U.S. investment in advanced semiconductor equipment research and development to date, though the company did not disclose a specific dollar figure, the initial research projects, or a timeline for integrating new technologies into production.

The center reflects a broader rethink of how semiconductor R&D is structured. Rather than having universities, equipment makers, and chipmakers hand off work in sequence, EPIC is designed to bring all three into a shared development environment from the outset. As AI chips move toward 3D architectures, heterogeneous integration, and novel materials, the interplay among materials, tools, and processes grows more complex — and each round of revision during mass-production validation can add months to the commercial timeline. Whether the EPIC model can meaningfully compress that journey from lab to fab will be the central test as the center begins operations.

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