通过基于飞行批次的贝叶斯优化设计共价有机框架的构建块
Yuxuan Yao1,2, Harald Oberhofer2
1Department of Chemistry, TUM School of Natural Sciences, Technical University Munich, Lichtenbergstr. 4, 85748 Garching b. München, Germany.
The Journal of chemical physics
|August 15, 2024
概括
贝叶斯优化加速发现具有高孔导电性的共价有机框架 (COF). 这种计算方法有效地识别了先进的COF材料的新型分子构建块.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 有机化学 有机化学
背景情况:
- 联有机框架 (COF) 是具有可调节性质的晶体多孔聚合物.
- 设计具有特定功能的COF,例如高孔导电性,由于巨大的化学空间而具有挑战性.
- 探索COF构建块的传统方法在计算上昂贵且耗时.
研究的目的:
- 开发一种用于设计具有高孔导率的共价有机框架 (COF) 的计算方法.
- 为了有效地导航COF构建块的大型设计空间.
- 确定用于增强电子应用的新和有前途的COF候选产品.
主要方法:
- 使用贝叶斯优化 (BO) 算法对COF积木空间进行抽样.
- 采用分子生成算法,以确保创建有效,刚性,三重对称分子.
- 训练有素的替代模型以低计算成本预测COF导电性质 (水平对齐和重组自由能量).
主要成果:
- 在20个训练步骤后,确定了几种有前途的COF候选者,具有高预测孔导率.
- 发现了新的分子图案和已知的结构的变化.
- 这种BO方法显著降低了材料选的计算成本.
结论:
- 贝叶斯优化是加速发现功能COF的有效策略.
- 已识别的候选产品需要进一步调查它们在电子设备中的潜力.
- 计算选可以显著简化材料设计过程.
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