AI Learns Equation of State from Relativistic Quantum Calculations

This research utilizes neural networks to model the equation of state derived from computationally intensive relativistic ab initio calculations. The work demonstrates the potential of AI to accelerate scientific discovery by reducing the computational burden.

• •Applies neural networks to model complex physical equations.
• •Uses relativistic ab initio calculations as training data.
• •Aims to reduce computational cost in scientific research.