Manufacturing Videos

Gemini 3 Deep Think: Optimizing 2D Semiconductor Fabrication

The video showcases a laboratory breakthrough using the Deep Tank AI platform to design and grow two‑dimensional (2D) semiconductor crystals. By feeding the system a recipe aimed at 100 µm lateral size, the AI‑guided process produced crystals measuring 130 µm, the largest ever reported in that lab and a clear demonstration of AI‑enhanced materials engineering. Key insights include the AI’s ability to generate a complete thermal profile rather than a single temperature set‑point, dramatically shortening the weeks‑long trial‑and‑error phase traditionally required to tune gas flow and furnace conditions. The Deep Tank platform aggregates recent scientific advances, allowing researchers to pinpoint the optimal growth window quickly and consistently. The presenter highlights that “Deep tank not just give a temperature number but give a whole thermal profile,” underscoring the depth of control. Additionally, the new Deep Sync API enables seamless automation of existing instrumentation, opening pathways for scalable, reproducible production of 2D materials. Implications are significant: accelerated development cycles and larger crystal sizes lower R&D costs and bring 2D semiconductors closer to commercial viability, offering a potential route to extend Moore’s Law beyond silicon’s theoretical limits.