Do they? There’s plenty of stuff in our labs, most of them are completely useless, some that were bought to be useless become fashionable again, and we get new and exciting ones every day. There are a lot of issues in going from concept to useable material, and "scaling up" is only one of them.
> FRONTIER INTELLIGENCE WILL BRING THEM TO THE WORLD.
It will probably help, but I doubt it will do it by itself.
> Put simply, materials innovation has a scale-up problem, not a discovery problem.
I just don’t think that’s true. It’s also a scale-up problem, but discovery itself is not solved.
The problem spaces keep getting larger (composites! nanostructures! High-entropy!). High-throughput thermodynamic and electronic structure calculations, automated characterisation and testing, and things like that are being developed because we just don’t know what materials could exist and what could be their properties. The problem is that while there is room for AI there, particularly in automation, even cutting edge models are very dodgy to extrapolate materials properties outside their training sets, which are utterly negligible compared to the size of the search space.
m_m_carvalho•10m ago
Building is cheap. Distribution, differentiation and discovering unmet demand are becoming the expensive parts.