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What is Classifying Water Structures with Order Parameters about?

This study investigates the classification of water structures in ice Ih, Ic, and liquid using 493 local order parameters and 159,767,496 combinations through machine learning. The authors identify the most effective order parameters, specifically Q4 and Q8, for distinguishing these structures with high accuracy. The findings enhance the understanding of molecular structures and phase transitions in water and ice systems.

Author

Rajesh Pothukuchi

Language

EN