LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

A data-driven and topological mapping approach for the a priori prediction of stable molecular crystalline hydrates

Photo from wikipedia

Significance The problem of predicting molecular crystalline hydrates through crystal structure prediction (CSP) is a significant challenge due to the range of possible stoichiometric and nonstoichiometric water contents and the… Click to show full abstract

Significance The problem of predicting molecular crystalline hydrates through crystal structure prediction (CSP) is a significant challenge due to the range of possible stoichiometric and nonstoichiometric water contents and the large number of degrees of freedom that need to be considered during the crystal structure search. The algorithm introduced here represents an advance in this area that allows for quick and efficient mapping and prediction of hydrate crystal structures from an anhydrous framework without requiring a priori specification of the water content. Overall, this approach can serve as a computationally inexpensive tool to complement standard CSP for uncovering stable hydrate structures.

Keywords: crystalline hydrates; molecular crystalline; prediction; data driven; approach

Journal Title: Proceedings of the National Academy of Sciences of the United States of America
Year Published: 2022

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.