Thermodynamics of Ring-Opening Polymerisation Informatics Collection (TROPIC): a database to enable polymer chemical recycling.

IF 3.1 3区 化学 Q2 CHEMISTRY, PHYSICAL
R M R Reese, A M Ganose, C Romain
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引用次数: 0

Abstract

The development of artificial intelligence and machine learning in chemistry is opening new avenues for data-driven discoveries. However, the application of such methodologies in polymer chemistry has been hampered due to the complex structure-properties relationship of polymers and the lack of (meta)data available. Recent efforts have been made to experimentally determine or computationally evaluate thermodynamic parameters associated with (de)polymerisation reactions, such as enthalpy and entropy of polymerisation, as well as ceiling temperature, to design polymers primed for chemical recycling. Here, we report TROPIC (Thermodynamics of Ring-Opening Polymerisation Informatics Collection), an open-source database harnessing experimental and computational thermodynamic parameters for ring-opening polymerisation (ROP) from the academic literature. TROPIC links thermodynamic parameters with the experimental conditions or the computation methodologies used to determine them, to allow further analysis. TROPIC can be accessed via an interactive website or application programming interface (API) and presents a first step towards facilitating the data-driven discovery of novel functional polymers.

热力学开环聚合信息收集(TROPIC):一个数据库,使聚合物化学回收。
化学领域人工智能和机器学习的发展为数据驱动的发现开辟了新的途径。然而,由于聚合物复杂的结构-性能关系和缺乏可用的(元)数据,这种方法在聚合物化学中的应用受到阻碍。最近的努力是通过实验确定或计算评估与(解)聚合反应相关的热力学参数,如聚合的焓和熵,以及上限温度,以设计用于化学回收的聚合物。在这里,我们报告了TROPIC(开环聚合热力学信息集),这是一个开源数据库,利用了学术文献中开环聚合(ROP)的实验和计算热力学参数。TROPIC将热力学参数与实验条件或用于确定它们的计算方法联系起来,以便进行进一步分析。TROPIC可以通过交互式网站或应用程序编程接口(API)访问,并为促进数据驱动的新型功能聚合物发现迈出了第一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Faraday Discussions
Faraday Discussions 化学-物理化学
自引率
0.00%
发文量
259
期刊介绍: Discussion summary and research papers from discussion meetings that focus on rapidly developing areas of physical chemistry and its interfaces
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