谷歌旗下的DeepMind公司近日在《自然》杂志上发表了一篇关于新型AI工具的研究文章。这款名为“材料探索图形网络（GNoME）”的AI工具，利用深度学习技术，成功预测了220万种新材料的结构。更为惊人的是，其中已有700多种新材料在实验室中被创造出来。这些新发现的材料有着广泛的应用前景，如用于制造更高效的太阳能电池、电池、计算机芯片等。目前，这些新材料正在接受测试阶段。
GNoME技术的出现，极大地加快了新材料的发现进程。以往需要花费数月甚至数年时间的实验和分析，现在在AI的帮助下，可以在短时间内完成。这一突破性的技术进步，将为我国的科技发展带来前所未有的机遇。
英文翻译：
News title: Google DeepMind’s New AI Tool Boosts Material Discovery
Keywords: DeepMind, AI tool, new materials
News content:
Google’s subsidiary DeepMind has recently published an article in the journal Nature about a new AI tool for material exploration. Dubbed “Graph Network for Materials Exploration (GNoME),” this AI tool leverages deep learning technology to predict the structures of 2.2 million new materials. More astonishingly, 700+ of these newly discovered materials have been created in laboratories. These novel materials have broad application prospects, such as in better solar cells, batteries, and computer chips. Currently, these materials are undergoing testing.
The emergence of GNoME technology has significantly accelerated the process of material discovery. Previously time-consuming tasks such as experiments and analyses that took months or even years to complete can now be finished in a short period with the help of AI. This groundbreaking technological advancement will bring unprecedented opportunities for the development of science and technology in our country.
【来源】https://www.technologyreview.com/2023/11/29/1084061/deepmind-ai-tool-for-new-materials-discovery/
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