المؤلفون: Ksenia R. Briling, Yannick Calvino Alonso, Alberto Fabrizio, Clemence Corminboeuf

مصطلحات موضوعية: Genetics, Biotechnology, Evolutionary Biology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, prototypical organic molecules, e ., eigenvalues, difficult prediction tasks, rely upon one, electron density matrices, approximated hamiltonian matrices, h , data sets featuring, b ): encoding, data sets, lightweight one, guess hamiltonian, wide variation, transferable representations, traditional structure, takes advantage, symmetry requirements, shell species, preceding state, outperform state, orbital energies, nuclear charges, naturally contains

Relation: https://figshare.com/articles/journal_contribution/SPA_sup_H_sup_M_a_b_Encoding_the_Density_Information_from_Guess_Hamiltonian_in_Quantum_Machine_Learning_Representations/25006654

الاتاحة: https://doi.org/10.1021/acs.jctc.3c01040.s001
https://figshare.com/articles/journal_contribution/SPA_sup_H_sup_M_a_b_Encoding_the_Density_Information_from_Guess_Hamiltonian_in_Quantum_Machine_Learning_Representations/25006654

المساهمون: Lamers, G

المصدر: Phys. Rev., 177: 19-27(Jan. 5, 1969).; Other Information: Orig. Receipt Date: 31-DEC-69

وصف الملف: Medium: X

URL الوصول: http://www.osti.gov/scitech/biblio/4825386

المساهمون: Massa, L

المصدر: Phys. Rev., 177: 7-13(Feb. 5, 1969).; Other Information: Orig. Receipt Date: 31-DEC-69

وصف الملف: Medium: X

URL الوصول: http://www.osti.gov/scitech/biblio/4825355