通过随机走路估计完整的基础集外推错误
Jakub Lang1, Michał Przybytek1, Michał Lesiuk1
1University of Warsaw, Faculty of Chemistry, Pasteura 1, 02-093 Warsaw, Poland.
The journal of physical chemistry letters
|May 12, 2025
概括
我们开发了一种新方法来估计完全基准集外推的不确定性. 这种方法使用随机步行来模拟结果,为科学结果提供可靠和保守的误差界限.
科学领域:
- 计算化学是一种计算化学.
- 量子化学是一种量子化学.
背景情况:
- 以完全基准 (CBS) 极限进行外推对于准确的量子化学计算至关重要.
- 估计与CBS推断相关的不确定性是具有挑战性的,但对于可靠的预测至关重要.
研究的目的:
- 提出一种新的,无参数的方法来量化通过CBS推算获得的结果的不确定性.
- 提供一个统计严格的框架,以预测在所需的信心水平的误差界限.
主要方法:
- 该方法使用一组随机步行来模拟所有潜在的外推结果.
- 对整体结果的统计分析使不确定性预测成为可能.
- 该方法旨在与任何现有的CBS抽外方案兼容.
主要成果:
- 数字试验证明了预测错误界限的可靠性和紧密性.
- 该方法提供了谨慎的估计,确保在不确定性量化高水平的信心.
- 该方法通过与可靠的参考数据进行比较来验证.
结论:
- 拟议的随机步行组合方法为CBS推算中的不确定性估计提供了一个强大的和多功能工具.
- 这种技术通过提供准确和保守的误差界限来提高计算化学结果的可靠性.
- 无参数的性质和与各种方案的兼容性使其在科学研究中广泛适用.
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