| 黄 河,陈宏生.人工智能将推动材料基因组技术加速发展[J].全球科技经济瞭望,2019,34(11-12):38~47 |
| 人工智能将推动材料基因组技术加速发展 |
| Artificial Intelligence will Accelerate the Development ofMaterial Genome Technology |
| 投稿时间：2019-10-23 |
| DOI：10.3772/j.issn.1009-8623.2019.11-12.008 |
| 中文关键词: 美国；材料基因组计划；人工智能；机器学习；深度学习 |
| 英文关键词: US Material Genome Initiative; artificial intelligence; machine learning; deep learning |
| 基金项目: |
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| 中文摘要: |
| 本文通过对美国材料基因组计划出台、实施情况进行梳理分析，发现人工智能在美国材料基因
组技术中的应用正在成为研究热点，其中机器学习、深度学习等算法是关键。人工智能在解决材料基因
组计划发展瓶颈问题方面非常有效，有可能会推动材料基因组技术研究加速发展，但也面临不少挑战。
在此基础上，提出加快推动我国材料基因组技术研究的有关建议。 |
| 英文摘要: |
| Through the combing and analysis of the introduction and implementation of the US Material
Genome Initiative, this paper finds that the application of artificial intelligence in the US material genome
technology has become a research highlight, among which algorithms such as machine learning and deep learning
are the key. Artificial intelligence is very effective in solving the bottleneck problem of the Material Genome
Initiative, and it may promote the accelerated development of material genome technology, but it also faces
many challenges. On this basis, this paper proposes relevant suggestions for accelerating the research of material
genomics technology in China. |
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