Hell a carbon fiber (partially) plane flew around the world non-stop in 1986 but it wasn't until 2012 that carbon fiber road bikes got good enough/cheap enough for me to buy one.
I think people underestimate incremental improvements, 4% (arbitrarily) a year, year on year adds up eventually.
Look at the improvements to Li-Ion battery technology as a good example.
Recently I've been doing research on a programming problem that has come up at the new job, I pulled the related research and the canonical first representation of the problem on a computer was formulated in 1966 and the issues it addressed in the paper are identical to the way the processes are run at new employer, almost word for word.
51 years that research has existed and they are still doing things the way they did then.
Computing is weirdly ahistorical. Hardly anyone ever looks at the research; everyone prefers to invent it themselves.
My math level isn't quite there for some of it but the problem had been studied hugely and there are some good 'field guide' level references out there.
Its made me consider going back into education to do maths though. I don't like that I don't grok everything and with practical applications I'm actually excited by the maths.
Warning: One of two things will probably happen if you go back to (grad) school for math. Either you'll lose enthusiasm in the first year or two because you really love building stuff and miss it, or else you'll find you really do love the math and spend the rest of your life at a blackboard :)
The more I read the greater the complexity, I've never been much on the theory side and frankly as an enterprise programmer I've never really had to be, my distant A-level math has always been enough.
https://en.m.wikipedia.org/wiki/Flow_shop_scheduling
Its a practical application of some really beautiful approaches to a problem (everything from simple queue stuff through to genetic algorthithms and machine learning) I didn't know existed and at the same time a decent solution will have a really big impact on the business I work for.
It might take me quite a while to grasp even a small chunk though I'm starting from a pretty low level.
1. ease of synthesis. Many of the cool materials with nice properties you read about in these articles cannot yet be produced easily at scale, at requisite purity, and cheaply. Tying in to...
2. cost. Even when new materials are strictly better than widely used ones, they can still go nowhere. Obvious but everyone seems to forget this.
A good friend is an oncologist. He kinda hates it when people talk about a cure for cancer. I guess it just doesn't work that way.
>Calculations using precise models based on the atomic structure of cellulose show the crystals have a stiffness of 206 gigapascals
>"It is very difficult to measure the properties of these crystals experimentally because they are really tiny," Zavattieri said. "For the first time, we predicted their properties using quantum mechanics." (https://phys.org/news/2013-12-cellulose-nanocrystals-green-m... )
So they are strong in theory but too small to actually pull on the ends.
There's some recent research mixing them in 3d printer inks http://www.3ders.org/articles/20170531-empa-researchers-deve...