Decoding Phases of Matter by Machine-Learning Raman Spectroscopy
文献类型：期刊论文
| 作者 | Cui, Anyang; Jiang, Kai; Jiang, Minhong; Shang, Liyan; Zhu, Liangqing; Hu, Zhigao; Xu, Guisheng; Chu, Junhao |
| 刊名 | PHYSICAL REVIEW APPLIED
 |
| 出版日期 | 2019-11-21 |
| 卷号 | 12期号:5 |
| ISSN号 | 2331-7019 |
| DOI | 10.1103/PhysRevApplied.12.054049 |
| 文献子类 | Article |
| 英文摘要 | Phase transitions of condensed matter have long been a spotlight issue studied by extensive theoretical and experimental investigations. Machine learning can build an integral model-dominant workflow to statistically analyze the collective dynamics of materials and deduce the structure. We use a supportvector-machine algorithm to propose an effective method to recognize the orthorhombic, tetragonal, and cubic phases as well as to construct the phase diagram in ferroelectric crystals by mining and learning the behavioral vectors of the phonon vibrations in a crystalline lattice from Raman scattering, which is a tool typically used to detect structural properties at the molecular level. This study creates a unifying framework including material synthesis and characterization, feature engineering and principal-component analysis, learner evaluation and optimization, structure prediction, and future development of the model. It paves the way to the application of a generic approach for predicting unexplored structures and materials in the future. |
| WOS关键词 | LEAD-FREE ; PIEZOELECTRIC PROPERTIES ; SINGLE-CRYSTAL ; DESIGN ; TRANSITIONS ; PROPERTY |
| WOS研究方向 | Physics |
| 语种 | 英语 |
| 出版者 | AMER PHYSICAL SOC |
| 源URL | [http://ir.sic.ac.cn/handle/331005/27484]  |
| 专题 | 中国科学院上海硅酸盐研究所 |
| 推荐引用方式 GB/T 7714 | Cui, Anyang,Jiang, Kai,Jiang, Minhong,et al. Decoding Phases of Matter by Machine-Learning Raman Spectroscopy[J]. PHYSICAL REVIEW APPLIED,2019,12(5). |
| APA | Cui, Anyang.,Jiang, Kai.,Jiang, Minhong.,Shang, Liyan.,Zhu, Liangqing.,...&Chu, Junhao.(2019).Decoding Phases of Matter by Machine-Learning Raman Spectroscopy.PHYSICAL REVIEW APPLIED,12(5). |
| MLA | Cui, Anyang,et al."Decoding Phases of Matter by Machine-Learning Raman Spectroscopy".PHYSICAL REVIEW APPLIED 12.5(2019). |
入库方式： OAI收割
来源：上海硅酸盐研究所
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