Dark energy occupies 68% of the universe and has a constant energy density. Besides, less information is known about dark energy; hence, it remains a mysterious form of energy. Dark energy affects universe expansion and propels galaxies. Though it remains only theoretically possible, the harnessing of the dark energy is ...
Dark energy occupies 68% of the universe and has a constant energy density. Besides, less information is known about dark energy; hence, it remains a mysterious form of energy. Dark energy affects universe expansion and propels galaxies. Though it remains only theoretically possible, the harnessing of the dark energy is a complex concept. Despite dark energy permeating all over space, its amount on any local setting is negligible. A good example of finding the mass of dark energy that can occupy the total volume of earth, which is roughly 1021 m3 and if the total mass that its constituent of; is 1025 kg. Through the application of the density of dark energy which is approximately 10−27 kg/m3, the total mass of dark energy that can occupy the earth’s volume would be one gram, which is negligible. (NASA, 2019)
By use of artificial intelligence, the recorded observational data of dark energy at a local setting through the interaction of intelligent agents with objects can be used to derive a model of dark energy parameter constraints. Two objects of low mass are to be placed at gravitational neutral buoyancy distance in concordance cosmology. The weight of the two objects should be measured concurrently to determine the effect of proportional changes made by the use of intelligent agents when interacting with the objects that are at gravitational neutral buoyancy. The dataset needs to be collected with consistency to give the applicable parameter constraints. The results should be recorded and analyzed to create an artificial intelligence model. If the quantity of dark energy is x, then the gravitational repulsive cosmological constant would x = -1, and by use of dark energy equation of state, we can constrain the analyzed data to come up with an equation of the effect of dark energy on objects. By use of trial and error through the application of modeled AI models; a parameter of using dark energy as a power source can be created. (Siegel, 2018)
References
NASA, (2019). Dark Energy, Dark Matter. Retrieved from https://science.nasa.gov/astrophysics/focus-areas/what-is-dark-energy
Siegel, E. (2018). When Were Dark Matter and Dark Energy Created? Retrieved from https://medium.com/starts-with-a-bang/ask-ethan-when-were-dark-matter-and-dark-energy-created-732fe2b19ed5