自然杂志 ›› 2024, Vol. 46 ›› Issue (1): 46-49.doi: 10.3969/j.issn.0253-9608.2024.01.005

• 科学创造未来 • 上一篇    下一篇

生成式人工智能与未来材料科学

朱宏伟   

  1. 清华大学 材料学院,北京 100084
  • 收稿日期:2023-12-18 出版日期:2024-02-25 发布日期:2024-02-20
  • 通讯作者: 朱宏伟,研究方向:低维材料。
  • 基金资助:
    国家自然科学基金面上项目(52172046)

Generative artificial intelligence and future materials science

ZHU Hongwei   

  1. School of Materials Science and Engineering, Tsinghua University, Beijing 100084, China
  • Received:2023-12-18 Online:2024-02-25 Published:2024-02-20

摘要: 人工智能是推动数据驱动科学飞速发展的强大动力。文章以深度学习在材料科学中的应用为例,介绍了生成式模型的概念,及其在新材料发现和自动化实验室等领域的应用。生成式人工智能不仅极大地加速了材料的研发进程,同时提高了整个研发过程的透明度和可信度,开启了材料科学研究的新纪元。

关键词: 人工智能, 深度学习, 生成式模型, 材料科学, 自动化实验室

Abstract: Artificial intelligence is a powerful driving force behind the rapid development of data-driven science. This article, using the application of deep learning in materials science as an example, introduces the concept of generative models, and their applications in the discovery of new materials and autonomous laboratories. Generative artificial intelligence not only greatly accelerates the research and development process of materials, but also enhances the transparency and credibility of the entire process, heralding a new era in materials science research.