CRYSTALS are objects of profound mystery. That's not
because they channel occult energies, or hold misty hints of the
future in their limpid depths. Their puzzle is much more prosaic:
why are they as they are?
It is an incredibly basic question, yet physicists still
struggle with it. Can we say why a given group of atoms prefers one
particular arrangement over another? Can we predict how a crystal
will be structured, and so deduce what properties it will have?
By and large, the answer is an embarrassing no. Or at least it
used to be, if Chris Pickard of University College London is right.
He has developed a surprisingly simple way of predicting crystal
structures. His technique, along with another that has just
emerged, might finally show us the way through the crystal
maze.
There is more at stake here than the prettiness of some
multifaceted amethyst. Crystals occur within most materials around
us, be they metals, rocks or our own bones. Crystal structures
determine crystal properties: the arrangement of atoms in a
material makes it hard or soft, conducting or insulating. But
theory alone has been unable to work out what those structures
should be. "We have to rely on experiment," says Pickard. "That
always bugged me."
With good reason. Sometimes X-rays and other probes just don't
reveal how a crystal is built, and materials in extreme situations
such as other planetary cores are simply beyond the reach of
experiment. Besides, if you could cook up crystals in a theoretical
simulation, you might be able to discover new materials with
remarkable properties.
Pickard's idea for breaking the impasse took a while to
crystallise. In 1994, when he was a novice PhD student at the
University of Cambridge, his supervisor Mike Payne had written a
computer program called CASTEP to simulate what electrons and
nuclei do within solids. "He said, take it and calculate anything
you like," recalls Pickard.
Pickard chose to tackle carbon, an element that typifies crystal
mystery: depending on how its atoms team up, it can form ultrahard
transparent diamond, or soft grey graphite. He started off by
tossing carbon atoms randomly into a box large enough to fit the
basic "unit cell" of the crystal, and worked out the energy of the
resulting structure. Knowing that nature always favours the
lowest-energy arrangement, CASTEP could work out how the atoms
could move to reduce their energy. By repeating this process until
the energy could be reduced no more, the final structure should by
rights be nature's crystal.
In fact, it was an almighty mess. The carbon atoms did not
arrange themselves into the regular tetrahedral cage of a diamond
crystal, or into the flat, honeycomb sheets that make up graphite.
The structure had no obvious symmetry to it at all.
Joining the dots
Pickard had hit the same snag as many before him. Although
electrical forces between electrons and nuclei will naturally pull
randomly arranged atoms into a more stable, low-energy arrangement,
they won't necessarily find the stablest, lowest-energy
arrangement. It is like dropping a ball onto a complex landscape of
hills and valleys. The ball will roll to the bottom of the nearest
dip, but in the gnarled and forbidding energy landscape that
represents the interactions of even just a few atoms, the chance is
slim that the dip is the very bottom of the deepest valley - the
home of nature's crystals.
Deterred, Pickard turned to other projects. In 2004, though, he
was helping his PhD student Rachel Strong use a different method,
known as graph theory, to chip away at the structures of diamond
and other similar crystals. The idea was first to draw a cartoon
crystal with simple dots marking the atomic nuclei, and lines
representing the electron bonds between them. Graph theory
calculates which ways of joining the dots satisfy the constraints
imposed by chemical bonding, and so radically reduces the number of
configurations admissible in any simulation.
The join-the-dots tactic was showing some promise, but was also
frustratingly imperfect. It only worked with some types of bond,
and even then only if you made assumptions about how many bonds
each atom could form. That's not always obvious. In graphite, each
carbon atom forms bonds with three neighbours; in diamond, it is
four.
On a whim, Pickard reran his calculations of 10 years before to
compare them with the structures Strong was producing. Something
remarkable happened. "I started to get sensible structures," he
says.
When he reran his calculations of 10 years before, something
remarkable happened: he started getting sensible results
What had changed? Computers had become faster, of course, and
Pickard had helped to rewrite CASTEP to make it far easier to
repeat simulations with atoms in different starting positions.
That, it turned out, was the key. Most of the configurations that
emerged were still random messes, but when Pickard ran the
simulation many times some familiar-looking structures kept
recurring - diamond and graphite. In mimicking nature, it seems
that if at first you don't succeed, try and try again.
Pickard was initially sceptical that the result was more than a
fluke, but when he showed his work to Richard Needs of the
University of Cambridge, who studies the behaviour of electrons in
solids, he got an enthusiastic response. The two soon unleashed the
random structure search method on hydrogen.
Hydrogen is the simplest of atoms, consisting of just one proton
circled by one electron, but in its solid state, it is a perplexing
beast. Crude calculations suggest that solid hydrogen should become
electrically conducting when squeezed to pressures of about 3
million atmospheres; in experiments, though, it remains insulating.
Running the simulation with the pressure turned up, Pickard and
Needs discovered a previously unsuspected form of solid hydrogen
that was not only stable, but was indeed an insulator, with all its
electrons bound to individual atoms rather than free to wander and
carry an electrical current (Nature Physics, vol 3, p 473).
The duo weren't alone in their success. By the time they
published the paper describing their method in 2006, other groups
were starting to use rather different methods to predict crystal
structures (see "Many ways through the crystal maze"). These
predictive tools share the promise of revealing weird and wonderful
new materials. Armed with such software, it should be possible to
whip up any combination of atoms into a crystal and see what it's
like. "You can see what the landscape gives you, then see what its
properties are," says Pickard.
History cautions against excessive enthusiasm quite yet,
however. A crystal prediction method must prove its worth on all
sorts of structures - including, crucially, organic molecules,
which Pickard has yet to take on. Nor is prediction the end of the
story, as Pickard himself admits. "Say I stumble on a new crystal
structure, and - wow! - it's the strongest material, it's a
room-temperature superconductor, it cures cancer," he says. "Then
the chemist says, 'But how do I make it?' I can't answer that
yet."
Even discovering the possibility of some new ultrahard material
or high-temperature superconductor would be a big step. Pickard and
Needs are also looking for materials that efficiently pack a lot of
hydrogen into a small space as a solid fuel for cars. They have
already had one tantalising candidate: a mix of three hydrogen
atoms to one aluminium atom that is solid at high pressures.
Cranking the pressure in the simulation down, though, the structure
did not survive.
A similar thing happens to mundane old nitrogen at very high
pressures. At about 1 million atmospheres, it turns into a solid
with a similar structure to diamond, but unlike diamond, it
dissolves into a polymer mush when you take the pressure off. Even
after it does so, it retains much of the energy stored in its bonds
in the high-pressure state, potentially making it useful as a
"green" explosive with no toxic residue, or as a fuel for stealth
rockets that leave no chemical trace of their passage. Pickard is
studying nitrogen right now, but he is a little cagey about why. "I
can't say much about this," he says.
Together with his colleague Dominic Fortes, he is also looking
into the properties of a mix of ammonia and water called ammonia
monohydrate, whose behaviour could help answer whether there is a
subsurface ocean on Jupiter's moon Ganymede and Saturn's moon
Titan, and potentially explain the origin of watery volcanoes
thought to exist on Titan. Here the appeal of simulations is
obvious, given the difficulty of doing experiments in situ.
That said, experiments on Earth can at least match the pressures
a few hundred kilometres under the crust of Titan, which reach
several thousand atmospheres. Not so inside Jupiter, the solar
system's weightiest planet, whose core pressure is thought to
approach 100 million atmospheres. According to models of the solar
system's formation, much of Jupiter's core is made of silicate
rocks similar to those that make up the bulk of Earth. But is that
a hard heart or a soft centre? At Jupiter's internal pressures no
one knows whether silicates would be solid crystals or a
liquid.
Experiments on Earth are unlikely to help. We can only create
such extreme pressures in the lab for a split second, by sending
shock waves through a sample - for example, using the lasers of the
National Ignition Facility in Livermore, California. That's too
brief to probe crystal structure. Researchers can compress matter
less explosively using a device called a diamond anvil cell, but
only up to about 3.5 million atmospheres - good enough to reproduce
the heart of Earth, but not Jupiter.
Pickard's plan, now backed by a £1.3 million grant from a UK
funding body, is that the simulations will boldly go there - and
further. Beyond the solar system, planets even more massive than
Jupiter are being discovered. What strange materials could lurk at
their hearts? And what about some of the most extreme environments
imaginable, the ultra-compressed crusts of neutron stars? Those
would be some pretty far-out crystals. Unlocking their secrets,
though, might not be so very far away.
| Many ways through the crystal maze |
|---|
| Chris Pickard's random structure search (see main story) is not
the only path that might lead to the heart of the crystal mystery.
One early approach, called simulated annealing, involves loading
model atoms into a computer simulation, then repeatedly raising the
temperature and lowering it again. Given enough of this thermal
jiggling, the atoms should eventually find the most stable,
lowest-energy configuration. In practice, though, this approach
needs an unfeasible amount of computer time.
A more effective rival to Pickard's method emerged around 2006
in the form of genetic algorithms rooted in ideas of sex and death.
Such simulations start with a small population of different crystal
structures that then reproduce, with only the fittest crystals
surviving
(
Journal of Chemical Physics, vol 124, p 244704). Artem Oganov of Stony Brook University, New York, is a leading
exponent of this approach. "We throw out the highest-energy
stuctures, in a rather cruel way," he explains. "From the rest we
create children." Some children are made from different pieces of
two parent structures. Others are mutated offspring of a single
parent, randomly distorted or with different atoms swapped
around. One problem with early genetic algorithms was that the
population often turned into an unchanging set of clones before it
reached the fittest, most stable structure. Oganov found that he
could avoid this stagnation by making the mutations more extreme.
With his algorithm, he has been able to reproduce some of the more
familiar crystals of nature, such as diamond, and also many exotic
new materials. He found, for example, that pure sodium, when
compressed to about 3 million atmospheres, suddenly turns from
being a red metal into an insulator that is clear as glass - and
experiments have since confirmed this. He is now working on a
project to find superhard materials. Oganov and Pickard disagree on which of the two methods is the
more efficient and powerful. It may just turn out that they are
each better for different materials, says Pickard. "Maybe they will
each find their niches and coexist." |