化学爆炸后果的预测模型通过多式联通功能融合
Yilin Wang1, Beibei Wang2, Yichen Zhang1
1College of Jilin Emergency Management, Changchun Institute of Technology, Changchun, 130012, China.
Journal of cheminformatics
|August 6, 2025
概括
这项研究引入了一种新的贝叶斯-变压器-SVM模型,用于预测化学爆炸后果. 该模型使用分子数据和泄漏条件准确评估爆炸风险,提高化学品的安全性.
科学领域:
- 化学工程是化学工程的重要组成部分.
- 计算化学的计算化学
- 风险评估 风险评估
背景情况:
- 化学爆炸对安全和环境构成重大风险.
- 准确预测这些事件对于化学工业的风险减轻至关重要.
研究的目的:
- 开发一种用于预测化学爆炸后果的创新模型.
- 整合定量结构与属性关系 (QSPR) 和定量属性与后果关系 (QPCR) 的原则,以加强风险评估.
主要方法:
- 使用了贝叶斯-变压器-SVM模型与多式联接功能融合.
- 输入特征包括SMILES和Gaussian16的分子描述符,以及泄漏条件参数.
- 采用多模式融合理论框架和优化的变压器-SVM架构.
主要成果:
- 优化的贝叶斯-变压器-SVM模型表现出卓越的性能.
- 在测试装置上,R2为0.9475和RMSE为0.1139的高精度.
- 在评估爆炸后果方面表现优于其他预测模型.
结论:
- 开发的模型为爆炸风险评估提供了一种新有效的方法.
- 能够快速评估化学品的储存和运输,支持安全设计.
- 方便对新的和现有的化学物质进行前性风险评估.
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