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人工蜜蜂收集各种各样的小型有机分子对象
Anastasiia A Smirnova1, Maxim D Yablonskiy1, Ekaterina I Marchenko2,3
1Lomonosov Moscow State University, Leninskie gory, 1 bld. 3, Moscow 119991, Russia. Smirnova.anastasia2304@gmail.com.
Physical chemistry chemical physics : PCCP
|April 17, 2025
概括
这项研究引入了一种新的人工蜂群算法,以有效地发现各种分子对应物. 该方法有助于全面描述潜在能量表面,用于计算化学和有机晶体包装研究.
科学领域:
- 计算化学是一种计算化学.
- 分子建模分子建模
- 有机化学 有机化学
背景情况:
- 符合性移动性对于分子性质至关重要.
- 描述潜在能量表面需要各种各样的适配器.
- 当前的方法在识别全面的合规器集时面临挑战.
研究的目的:
- 开发一种有效的算法,用于发现分子对应物.
- 为了使潜在能量表面的全面描述.
- 为了推进有机晶体包装研究.
主要方法:
- 应用一种以自然为灵感的算法.
- 使用人工蜂群优化器.使用人工蜂群优化器.
- 在气体和凝结相两种相位上进行对应器发现.
主要成果:
- 通过使用拟议的算法成功发现了对象.
- 实现了最先进的模型性能.
- 扩大构造集的多样性. 构造集的多样性.
结论:
- 人工蜂群优化器有效地识别出各种分子对应物.
- 这种方法提高了潜在能量表面的描述.
- 该方法为改善有机晶体包装研究提供了一条途径.
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