Gemini 3 Deep Think: Optimizing 2D semiconductor fabrication

AI 总结

• 杜克大学Wang实验室将Gemini 3 Deep Think用于材料科学中的晶体生长工艺优化。
• 模型结合专家级科学知识与研究级数据，生成了具体可执行的制备配方。
• 该方案实现了超过100μm薄膜生长目标，突破了以往方法难以达到的指标。

内容摘录

At Duke University, the Wang Lab utilized Gemini 3 Deep Think to solve a complex challenge in materials science: optimizing fabrication methods for crystal growth.

By applying expert-level scientific knowledge to research-level data, Deep Think successfully designed a precise recipe for growing thin films larger than 100 μm—hitting a specific target that previous methods had struggled to reach. 

Learn more at https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-deep-think

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