Abstract
Molecular structure, a key concept of chemistry, has remained elusive from the perspective of all-particle quantum mechanics, despite many efforts. Viewing molecular structure as a manifestation of strong statistical correlation between nuclear positions, we propose a practical method based on Markov chain Monte Carlo sampling and unsupervised machine learning. Application to the D3+ molecule unambiguously shows that it possesses an equilateral triangular structure. These results provide a major step forward in our understanding of the molecular structure from fundamental quantum principles.
Original language | English (US) |
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Pages (from-to) | 1760-1764 |
Number of pages | 5 |
Journal | Journal of the American Chemical Society |
Volume | 146 |
Issue number | 3 |
DOIs | |
State | Published - Jan 24 2024 |
ASJC Scopus subject areas
- Catalysis
- General Chemistry
- Biochemistry
- Colloid and Surface Chemistry