Adila

Thanks, that’s a very interesting explanation! Indeed, combining AI with physics clearly makes data analysis much more efficient and accurate.🙂

As I understand it, MCMC helps to find the parameters of dark energy that best fit the observational data, and the posterior distributions show which parameter values are most likely. Isn’t that so?🤔

Hey everyone! 👋 What are the possibilities of using AI and physics-informed learning methods to analyze physical data? 🤔 How can this approach help uncover physical laws, especially when data is random or sparse? ⚡ Would love to hear your thoughts! 💬 #Physics #DataScience #MachineLearning #PhysicsDiscovery

Hi! Sounds awesome! I’m working in a similar field — would be great to discuss modeling methods.

Interesting!👍 ^{11}Be is a great example for studying weakly bound systems. I also work with time-dependent nuclear models — my research is related to this topic as well. Would be great to exchange ideas and discuss numerical methods!😉😊