Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature.

Dataset of solution-based inorganic materials synthesis procedures extracted from the scientific literature.
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从科学文献中提取的基于溶液的无机材料合成程序的数据集。

DOI:
10.1038/s41597-022-01317-2
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发表时间:
2022-05-25
期刊:
影响因子:
9.8
通讯作者:
Ceder, Gerbrand
Ceder, Gerbrand
中科院分区:
综合性期刊2区
文献类型:
--
作者:
Wang, Zheren;Kononova, Olga;Cruse, Kevin;He, Tanjin;Huo, Haoyan;Fei, Yuxing;Zeng, Yan;Sun, Yingzhi;Cai, Zijian;Sun, Wenhao;Ceder, Gerbrand

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材料合成路线的开发通常基于化学和经验。一种可能的新方法是应用数据驱动的方法,从过去的经验中学习合成模式,并使用它们来预测新材料的合成。然而,由于缺乏大规模的合成配方数据库,这一途径受阻。在这项工作中,我们应用了先进的机器学习和自然语言处理技术,构建了一个从科学文献中提取的35,675个基于解决方案的合成程序的数据集。每一个步骤都包含基本的合成信息,包括前体和目标材料,它们的数量,以及合成动作和相应的属性。每一个步骤都用反应式扩充。通过这项工作,我们免费提供了第一个基于溶液的无机材料合成程序的大型数据集。
The development of a materials synthesis route is usually based on heuristics and experience. A possible new approach would be to apply data-driven approaches to learn the patterns of synthesis from past experience and use them to predict the syntheses of novel materials. However, this route is impeded by the lack of a large-scale database of synthesis formulations. In this work, we applied advanced machine learning and natural language processing techniques to construct a dataset of 35,675 solution-based synthesis procedures extracted from the scientific literature. Each procedure contains essential synthesis information including the precursors and target materials, their quantities, and the synthesis actions and corresponding attributes. Every procedure is also augmented with the reaction formula. Through this work, we are making freely available the first large dataset of solution-based inorganic materials synthesis procedures.
DOI: 10.1186/1758-2946-3-17
发表时间: 2011-05-16
影响因子: 8.6
作者:
Hawizy L;Jessop DM;Adams N;Murray-Rust P
通讯作者: Murray-Rust P
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发表时间: 2019-05-01
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DOI: 10.1126/sciadv.aaq0148
发表时间: 2018-04
期刊: Science advances
影响因子: 13.6
作者:
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通讯作者: Persson KA
DOI: 10.1107/s0108768102006948
发表时间: 2002-06-01
期刊: ACTA CRYSTALLOGRAPHICA SECTION B-STRUCTURAL SCIENCE
影响因子: --
作者:
Belsky, A;Hellenbrandt, M;Luksch, P
通讯作者: Luksch, P