基于成本的贝叶斯反应优化
Alexandre A Schoepfer1,2,3, Jan Weinreich1,3, Ruben Laplaza1,3
1Laboratory for Computational Molecular Design, Institute of Chemical Sciences and Engineering, École Polytechnique Fédérale de Lausanne (EPFL) 1015 Lausanne Switzerland clemence.corminboeuf@epfl.ch.
概括
基于成本的贝叶斯优化 (CIBO) 优先考虑具有成本效益的化学实验. 这种方法通过考虑试剂费用,大大降低了化学反应优化成本.
科学领域:
- 化学研究 化学研究
- 计算化学计算化学
- 过程优化 过程优化
背景情况:
- 贝叶斯优化 (BO) 在化学研究中很受欢迎,但忽视了实验成本.
- 标准BO不区分易用和昂贵的试剂.
研究的目的:
- 引入基于成本的贝叶斯优化 (CIBO) 用于合理的化学实验规划.
- 在化学研究中优先考虑具有成本效益的实验.
主要方法:
- 开发了CIBO算法来跟踪试剂的可用性和动态更新成本.
- 对于实验选择,CIBO使用预期的性能改善与试剂成本对比.
主要成果:
- 与标准的BO相比,CIBO将优化Pd催化反应的成本降低了高达90%.
- 使用文献数据证明了CIBO的有效性.
结论:
- 在化学实验中,CIBO为标准的BO提供了具有成本效益的替代方案.
- 这种方法是多功能性的,可以适应各种成本因素,如时间,环境和安全问题.
- CIBO适用于实验规划的传统和自动化实验室.
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