Open AccessA data-driven and topological mapping approach for the a priori prediction of stable molecular crystalline hydrates
Author(s) -
Richard S. Hong,
Alessandra Mattei,
Ahmad Y. Sheikh,
Mark E. Tuckerman
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2204414119
Subject(s) - hydrate , stoichiometry , anhydrous , isostructural , crystal (programming language) , clathrate hydrate , materials science , crystal structure , molecule , chemistry , chemical physics , crystallography , computer science , organic chemistry , programming language