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Updated: Jul 9, 2025

Deep Neural Networks for Image-Based Dietary Assessment
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Published on: March 13, 2021

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扩展材料发现的深度学习

Amil Merchant1, Simon Batzner2, Samuel S Schoenholz2

  • 1Google DeepMind, Mountain View, CA, USA. amilmerchant@google.com.

Nature
|November 29, 2023
PubMed
概括

通过图形网络的深度学习, 加快了无机晶体的发现速度, 发现了220万种新的稳定材料. 这一突破为已知的稳定材料领域的技术应用带来了显著的扩展.

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