Materials · around 2030

AI-driven materials discovery

Projection

Models propose new compounds and robotic labs synthesise and test them in days.

Machine-learned models of chemistry, trained on quantum simulations, screen millions of candidates for batteries, catalysts and magnets. Closed-loop labs would turn materials science from years of trial and error into weeks.

Why it’s plausible: Large AI-predicted crystal databases and early autonomous labs already exist; what remains is showing that predicted materials reliably synthesise and perform outside simulation.

See it in the living treeWikipedia