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Quantum-mechanical exploration of the phase diagram of water

Chemistry

Quantum-mechanical exploration of the phase diagram of water

A. Reinhardt and B. Cheng

In an innovative approach, researchers Aleks Reinhardt and Bingqing Cheng have advanced our understanding of the water phase diagram using hybrid density-functional-theory techniques. Their work reveals the stability of known phases under high pressure, shedding light on the thermodynamics of this vital substance. Discover how cutting-edge machine learning techniques and free-energy methods make this groundbreaking research possible!

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Playback language: English
Abstract
The phase diagram of water, while extensively studied, remains incompletely understood, with uncertainties in some phase boundaries. This research computes the water phase diagram at three hybrid density-functional-theory (DFT) levels, incorporating thermal and nuclear fluctuations and proton disorder. Machine learning methods and advanced free-energy techniques enabled these computationally demanding calculations. The resulting phase diagram shows qualitative agreement with experimental data, particularly at pressures up to 8000 bar. The study suggests the completeness of the experimental phase diagram within the studied pressure range, as no hypothetical ice phases were found to be thermodynamically stable. This work demonstrates the feasibility of first-principles phase diagram prediction for polymorphic systems and provides a thermodynamic benchmark for quantum-mechanical calculations.
Publisher
Nature Communications
Published On
Jan 26, 2021
Authors
Aleks Reinhardt, Bingqing Cheng
Tags
water
phase diagram
density-functional theory
machine learning
thermodynamics
polymorphic systems
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