AI is rapidly advancing in simulating physics and chemistry problems, potentially rivalling quantum computers. Neural networks can now model systems of up to 100,000 atoms, making previously difficult problems in chemistry and materials science feasible. This progress is driven by improved techniques and vast datasets. While quantum computers may still have advantages for certain problems, AI could reach important milestones in chemistry and materials science simulation sooner.
