Image from simulation of ice XVIII. Oxygen ions (red) occupy a regular crystal lattice, while protons (white) diffuse like a liquid. Credit: Maurice de Koning & Filipe Matusalém
A key aspect of the study was the deployment of density functional theory (DFT), a method derived from quantum mechanics and used in solid-state physics to resolve complex crystalline structures.
Researchers used density functional theory to study the mechanical properties of superionic ice, or ice XVIII, a crystalline phase of water believed to make up a large portion of ice giants NeptuneNeptune is the farthest planet from the sun. In our solar system, it is the fourth-largest planet by size, and third densest. It is named after the Roman god of the sea.” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>Neptune and UranusUranus is the seventh farthest planet from the sun. It has the third-largest diameter and fourth-highest mass of planets in our solar system. It is classified as an "ice giant" like Neptune. Uranus' name comes from a Latinized version of the Greek god of the sky.” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>Uranus. In this phase, negative oxygen ions form a lattice while positive hydrogen ions form a liquid within it, similar to a metal conductor. Superionic ice only exists under extreme temperatures and pressure and is believed to contribute to the misalignment of the magnetic fields of Neptune and Uranus. The team used computational techniques including neural networks and machine learningMachine learning is a subset of artificial intelligence (AI) that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without being explicitly programmed to do so. Machine learning is used to identify patterns in data, classify data into different categories, or make predictions about future events. It can be categorized into three main types of learning: supervised, unsupervised and reinforcement learning.” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>machine learning to understand how deformations in ice XVIII influenced phenomena observed on these planets.
Ordinary everyday ice, like the ice produced by a fridge, is known to scientists as hexagonal ice (ice Ih), and is not the only crystalline phase of water. More than 20 different phases are possible. One of them, called “superionic ice” or “ice XVIII,” is of particular interest, among other reasons, because it is thought to make up a large part of Neptune and Uranus, planets frequently referred to as “ice giants.”
In the superionic crystalline phase, water loses its molecular identity (H2O): negative oxygen ions (O2-) crystallize into an extensive lattice, and protons in the form of positive hydrogen ions (H+) form a liquid that floats around freely within the oxygen lattice.
“The situation can be compared to a metal conductor such as copper, with the big difference that positive ions form the crystal lattice in the metal, and electrons bearing a negative charge are free to wander around the lattice,” said Maurice de Koning, a professor at the State University of Campinas’s Gleb Wataghin Physics Institute (IFGW-UNICAMP) in São Paulo state, Brazil.
De Koning led the study that resulted in an article published in Proceedings of the National Academy of Sciences of the United States of America (PNAS) and featured on the cover of its November 8, 2022 issue.
Superionic ice forms at extremely high temperatures in the range of 5,000 kelvins (4,700 °C) and pressure of around 340 gigapascals, or over 3.3 million times Earth’s standard atmospheric pressure, he explained. It is therefore impossible for stable superionic ice to exist on our planet.
It can exist on Neptune and Uranus, however. In fact, scientists are confident that large amounts of ice XVIII lurk deep in their mantles, thanks to the pressure resulting from these giants’ huge gravitational fields, as confirmed by seismographic readings.
“The electricity conducted by the protons through the oxygen lattice relates closely to the question of why the axis of the magnetic field doesn’t coincide with the rotation axis in these planets. They’re significantly misaligned, in fact,” De Koning said.
Measurements made by the space probe Voyager 2, which flew by these distant planets on its journey to the edge of the Solar System and beyond, show that the axes of Neptune’s and Uranus’s magnetic fields form angles of 47 degrees and 59 degrees with their respective rotation axes.
Experiments and simulations
On Earth, an experiment reported in Nature in 2019 succeeded in producing a tiny amount of ice XVIII for 1 nanosecond (a billionth of a second), after which the material disintegrated. The researchers used laser-driven shock waves to compress and heat liquid water.
According to the paper in Nature, six high-power laser beams were fired in a temporally tailored sequence to compress a thin water layer encapsulated between two diamond surfaces. The shock waves reverberated between the two stiff diamonds to achieve a homogeneous compression of the water layer resulting in the superionic crystalline phase for an extremely short time.
“In this latest study, we didn’t perform a real physical experiment but used computer simulations to investigate the mechanical properties of ice XVIII and find out how its deformations influence the phenomena seen to occur on Neptune and Uranus,” De Koning said.
A key aspect of the study was the deployment of density functional theory (DFT), a method derived from quantum mechanics and used in solid-state physics to resolve complex crystalline structures. “First of all, we investigated the mechanical behavior of a flawless phase, which doesn’t exist in the real world. We then added defects to see what kinds of macroscopic deformations resulted,” he explained.
Crystal defects are typically point defects characterized by ion vacancies or intrusion of ions from other materials into the crystal lattice. Not so in this case. De Koning was referring to linear defects known as “dislocations”, which are due to angular differences between adjacent layers resulting in puckering somewhat like a rumpled rug.
“In crystal physics, dislocation was postulated in 1934 but first observed experimentally in 1956. It’s a type of defect that explains a great many phenomena. We say dislocation is to metallurgy what DNADNA, or deoxyribonucleic acid, is a molecule composed of two long strands of nucleotides that coil around each other to form a double helix. It is the hereditary material in humans and almost all other organisms that carries genetic instructions for development, functioning, growth, and reproduction. Nearly every cell in a person’s body has the same DNA. Most DNA is located in the cell nucleus (where it is called nuclear DNA), but a small amount of DNA can also be found in the mitochondria (where it is called mitochondrial DNA or mtDNA).” data-gt-translate-attributes=”[{“attribute”:”data-cmtooltip”, “format”:”html”}]”>DNA is to genetics,” De Koning said.
In the case of superionic ice, the sum of dislocations produces shear, a macroscopic deformation familiar to mineralogists, metallurgists, and engineers. “In our study, we calculated, among other things, how much it’s necessary to force the crystal for it to break up owing to shear,” De Konig said.
To this end, the researchers had to consider a relatively large cell of the material with about 80,000 molecules. The calculations entailed extremely heavy and sophisticated computational techniques, including neural networks, machine learning, and the composition of various configurations based on DFT.
“This was a most interesting aspect of the study, integrating knowledge in metallurgy, planetology, quantum mechanics, and high-performance computing,” he said.
Reference: “Plastic deformation of superionic water ices” by Filipe Matusalem, Jéssica Santos Rego and Maurice de Koning, 2 November 2022, Proceedings of the National Academy of Sciences.
DOI: 10.1073/pnas.2203397119
The study was supported by FAPESP via a postdoctoral fellowship awarded to the first author, Filipe Matusalém de Souza, under De Koning’s supervision; a Thematic Project led by Alex Antonelli, a researcher at UNICAMP; and the Center for Computing in Engineering and Sciences (CCES), funded under the aegis of FAPESP Program for Research, Innovation and Dissemination Centers (RIDCs).
Source: SciTechDaily
