The Alexandria Library, a Quantum-chemical Database of Molecular Properties for Force Field Development
Affiliations
Data quality as well as library size are crucial issues for force field development. In order to predict molecular properties in a large chemical space, the foundation to build force fields on needs to encompass a large variety of chemical compounds. The tabulated molecular physicochemical properties also need to be accurate. Due to the limited transparency in data used for development of existing force fields it is hard to establish data quality and reusability is low. This paper presents the Alexandria library as an open and freely accessible database of optimized molecular geometries, frequencies, electrostatic moments up to the hexadecupole, electrostatic potential, polarizabilities, and thermochemistry, obtained from quantum chemistry calculations for 2704 compounds. Values are tabulated and where available compared to experimental data. This library can assist systematic development and training of empirical force fields for a broad range of molecules.
Automated and Efficient Sampling of Chemical Reaction Space.
Lee M, Ucak U, Jeong J, Ashyrmamatov I, Lee J, Sim E Adv Sci (Weinh). 2025; 12(9):e2409009.
PMID: 39804946 PMC: 11884589. DOI: 10.1002/advs.202409009.
Sommer T, Clarke C, Garcia-Melchor M Chem Sci. 2024; 16(3):1002-1016.
PMID: 39660292 PMC: 11626465. DOI: 10.1039/d4sc04064c.
Aziz M, Gill W, Khosa M, Jamil S, Janjua M RSC Adv. 2024; 14(49):36546-36556.
PMID: 39553268 PMC: 11565422. DOI: 10.1039/d4ra06171c.
The Area Law of Molecular Entropy: Moving beyond Harmonic Approximation.
Roy A, Ali T, Venkatraman V Entropy (Basel). 2024; 26(8).
PMID: 39202158 PMC: 11353761. DOI: 10.3390/e26080688.
QuanDB: a quantum chemical property database towards enhancing 3D molecular representation learning.
Yang Z, Huang T, Pan L, Wang J, Wang L, Ding J J Cheminform. 2024; 16(1):48.
PMID: 38685101 PMC: 11059686. DOI: 10.1186/s13321-024-00843-y.