As humans struggle to understand dark energy, the mysterious force driving the universe's accelerated expansion, scientists have started to wonder something rather futuristic. Can computers can do any better? Well, initial results from a team that usedto create a supercomputer simulation of the universe. While dark energy helps push the universe outward in all directions, dark matter is a mysterious form of matter that remains invisible because it doesn't interact with light.
This desire is compounded by the fact that dark energy accounts for around 70% of the universe's energy and matter budget, even though we don't know what it is. When factoring in dark matter, which accounts for 25% of this budget and can't be made of atoms we're familiar with — those that make up stars, planets, moons, neutron stars, our bodies and next door's cat — we only really have visible access to about 5% of the whole universe.
This doesn't mean that the mysteries of dark energy — or the headache that the cosmological constant represents — is relieved, however.The cosmological constant still poses a massive problem for scientists. Also, while the team's results suggest general relativity is the right recipe for gravity, it can't rule out other potential gravity models that could explain the observed effects of dark energy.
The UCL researcher points out that it will take a very specific form of AI that is well-trained in spotting patterns in the universe to perform these studies. Cosmologists won't be able to just feed universe-based simulations to their AI systems like one may plug questions into ChatGPT and expect results.
Source: Energy Industry News (energyindustrynews.net)
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