Combining machine learning algorithm to improve  prediction performance of ab initio method for vibrational energy spectra of HF/HBr/H<sup>35</sup>Cl/Na<sup>35</sup>Cl

Yang Zhang-Zhang; Liu Li; Wan Zhi-Tao; Fu Jia; Fan Qun-Chao; Xie Feng; Zhang Yi; Ma Jie

doi:10.7498/aps.72.20221953

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Yang Zhang-Zhang, Liu Li, Wan Zhi-Tao, Fu Jia, Fan Qun-Chao, Xie Feng, Zhang Yi, Ma Jie. Combining machine learning algorithm to improve prediction performance of ab initio method for vibrational energy spectra of HF/HBr/H35Cl/Na35ClJ. Acta Physica Sinica, 2023, 72(7): 073101. DOI: 10.7498/aps.72.20221953

Citation:

Yang Zhang-Zhang, Liu Li, Wan Zhi-Tao, Fu Jia, Fan Qun-Chao, Xie Feng, Zhang Yi, Ma Jie. Combining machine learning algorithm to improve prediction performance of ab initio method for vibrational energy spectra of HF/HBr/H35Cl/Na35ClJ. Acta Physica Sinica, 2023, 72(7): 073101. DOI: 10.7498/aps.72.20221953

Citation:

Yang Zhang-Zhang, Liu Li, Wan Zhi-Tao, Fu Jia, Fan Qun-Chao, Xie Feng, Zhang Yi, Ma Jie. Combining machine learning algorithm to improve prediction performance of ab initio method for vibrational energy spectra of HF/HBr/H35Cl/Na35ClJ. Acta Physica Sinica, 2023, 72(7): 073101. DOI: 10.7498/aps.72.20221953