Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms
This work proposes several machine learning models that predict B3LYP-D4/def-TZVP outputs from HF-3c outputs for supramolecular structures. The data set consists of 1031 entries of dimer, trimer, and tetramer cyclic structures, containing both molecules with heteroatoms in the ring and without. Six...
محفوظ في:
| المؤلف الرئيسي: | Saadiallakh Normatov (20682324) (author) |
|---|---|
| مؤلفون آخرون: | Pavel V. Nesterov (11027409) (author), Timur A. Aliev (12426758) (author), Alexandra A. Timralieva (11027412) (author), Alexander S. Novikov (1616380) (author), Ekaterina V. Skorb (2060947) (author) |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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مواد مشابهة
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Search for Correlations Between the Results of the Density Functional Theory and Hartree–Fock Calculations Using Neural Networks and Classical Machine Learning Algorithms
حسب: Saadiallakh Normatov (20682324)
منشور في: (2025) -
Accelerating Hartree–Fock and Density Functional Theory Calculations Using Tensor Hypercontraction
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Supplementary materials
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منشور في: (2025)