The MIT researchers have designed this method to gain insights into plasma dynamics that are important to attain net fusion energy production. This will make it easier to observe the complexities of the plasma.
What is a Fusion Experiment?
Fusion reactions are highly reactive experiments that are performed under extreme conditions of temperature and pressure. Specialised vacuum chambers are designed to contain such reactions.
These conditions are essential to perform the experiments but also restrict the potential of diagnostic tools. These tools tend to collect and analyse data in fusion plasmas. On the other hand, the plasma computer models are quite complex to understand.
Moreover, some plasma has turbulent features which are even more difficult to understand. Therefore, a comparison of computer charts with actual models becomes difficult. And this is where the new technology comes in.
Plasma Modelling & Experiment
The gap between plasma modelling and experiments will be bridged with this new research. Cameras installed in the fusion devices will now use optical filters to read the electron density and temperature fluctuations.
With this, predicting the plasma fields in the experiments based on that in theory will become more viable. Whereas the machine learning approach is used to develop a predictive modelling structure.
Researchers have developed a framework to study and develop these models. MIT has always been the epitome of innovation in the fields of AI, ML and computing. It always sets the best and out-of-the-box examples for its students and the rest of the world.
It is not only the brilliant minds but also the opportunities, freedom, resources and funds that the researchers and students at MIT utilize to stay ahead of the world. If you want to read more such exciting information, make sure you follow Leverage Edu News Updates.