No background in chemistry or physics? No problem!
But that does help to orient me a little bit. I’ve been throwing out some words that probably don’t mean a whole lot in that case. So let’s back up.
A process of going from diamond to graphite is something like this. Let’s say you have a herd of goats and there is a great grassy pasture a few miles to the east. Your goats naturally want to graze there because it’s good eating. If all your goats start off this morning going in the direction of the food, and let’s assume they all move independently (their motion to the food source is not dependent on following other goats), how long will it take for all the goats to arrive at the food?
You can imagine two scenarios – one in which there is a small hill between the herd and the grassy field, and one in which there is a big mountain in the way. In both cases the goats want to end up in the grassy field, because it is a state of lower energy (grass tastes good). But it is easy to understand that if there is a big mountain in the way, the chances of any goat making it to the field becomes small, such that the amount of time it takes for the whole herd to make it there is long. The rate at which the herd moves is inversely related to the height of the mountain. On the other hand, the rate may also depend on how hungry the goats are – if they are more motivated, they might be speedier about climbing over that mountain to get to the food.
In this analogy, the goats are carbon atoms. Initially, hungry goats are carbon atoms in diamond and full goats (gorged on yummy grass) are carbon atoms in graphite. All things being equal, the goats will end up at the grassy field because that’s the state of lower energy. Diamond will change to graphite. But there’s a mountain in the way. A big mountain. So big that the goats are very unlikely to cross over the mountain and get to the field. The question is: can we make them sufficiently hungry so that they cross the mountain on a realistic timescale?
The mountain is the “activation energy”, which is a characteristic of most chemical reactions – and indeed, most of life’s tasks. Even if the reaction is favorable, sometimes you have to put some energy in to get payoff later on, and the more energy you have to put in, the slower the reaction is, even if the payoff is large. (A good example of this is combustion – despite the fact that burning a carbon fuel releases a lot of energy and is very thermodynamically favorable, the reaction is very slow. A temperature of a few thousand degrees is necessary to make this reaction happen on any relevant timescale!)
Reaction mechanisms are complicated, even more so in the solid state, where surface characteristics become a factor of concern, but a simple model is the Arrhenius model, which fits to a surprisingly large number of chemical reactions, and also has been applied to many non-chemical processes. (I learned, while looking around for information on diamond to graphite, that is has even been used to model the blooming of Japanese cherry trees – who knew?! See:
https://en.wikipedia.org/wiki/Cherry_blossom_front).
This will be the only equation I present, but it’s important:
[tex]rate = Ae^{-\frac{E_a}{RT}}[/tex]
The Arrhenius expression basically says this: the probability that a molecule (or whatever) will go from one state to another is related exponentially to the relationship between how much energy you need to make that transition happen and how much energy on average the molecules have by virtue of the temperature. In the expression, the rate is a function of: an activation energy, E
a; the temperature, T; the gas constant R; and a pre-exponential factor, A.
E
a is the height of the mountain – I.e., how much energy you have to put into a reaction to get payoff.
RT is a kind of measure of the amount of average thermal energy. In our analogy, this is how hungry the goats are. Higher temperature means more hungry and more motivated.
A is a measure of a lot of things, like, the probability that two reacting molecules are colliding from the right direction, stuff like that.
Generally, E
a and A are assumed to not be dependent of temperature, which is a good approximation for small changes in temperature. Anyway, what the Arrhenius equation basically says is that if the activation is large, the rate goes down, and if the temperature is high, the rate goes up. And those trends are highly exponential – a small change in activation energy makes a big change in rate. Now, there is a lot of chemistry and physics involved in determining what E
a and A are, but unless you want to go there, let’s ignore it and just play with numbers.
Not surprisingly, the transition from diamond to graphite is complicated. But I found some numbers we can play around with just to give you a sense of scale.
From the reference: G. Davies and T. Evans. Graphitization of diamond at zero pressure and at a high pressure. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences, Vol. 328, No. 1574 (Jun. 13, 1972), pp. 413-427
These guys basically took real diamonds, heated them in a vacuum at around 2000 degrees C), and measured the mass loss due to graphitization as a function of time. By measuring the reaction rate at different temperatures, they calculated an activation energy of around 730 kJ/mol for a particular crystalline plane of diamond.
You may not have a good sense for these things, but let’s be clear: that is a HUGE activation energy. It may at first seem strange that the energy mountain would be so large – after all, you are just taking carbon atoms and shifting their positions a little bit. In fact, the carbon atom arrangement in diamond is quite different from that of graphite, and so going from one to the other requires breaking a lot of strong carbon-carbon bonds, then rearranging them in space to form new ones. This is why the activation energy is so large. At 2000 degrees, of course, there is quite a bit of energy around to break bonds, and so the process happens over the course of a few hours at 1850 C, down to a matter of minutes at over 2000 degrees C.
Ok. What about at room temperature? Millions of years is actually probably a huge underestimate. Here’s where it takes a little bit of fudging the numbers and some big assumptions – namely that the activation energy and pre-exponential factors are the same at room temperature as they are at 2000 degrees. Plus I had to fudge a pre-exponential factor because the authors don’t directly report it in the paper. But if we bear in mind this aspect of crudeness, you can use the Arrhenius equation and project that at room temperature, the rate of graphitization is on the order of 1 x 10
-114 μg/s! Let’s put that in perspective. A 1 carat diamond weighs about 200 mg (200,000 μg). It would take on the order of 1 x 10
118 s for the diamond to be completely graphitized. Or 1 x 10
111 years. That’s really a number beyond comprehension, so many times longer than the age of the universe that it doesn’t even bear thinking about.
Now, that number is based on such a crude calculation that it's probably very inaccurate, maybe off by dozens of orders of magnitude even, but I think it does at least show the sense of scale here. Truly, diamonds are (practically) forever. Unless you heat them to 2000 degrees, in which case you will get pencil lead in less time than it takes to watch
Sean Connery and Charles Gray duke it out over a diamond-powered death satellite.