A new form of carbon produced by very slowly releasing benzene compressed at 200,000 times atmospheric pressure may be the strongest material possible.
Nanothreads formed from smallest possible diamonds
![](https://foresight.org/wp-content/uploads/2022/11/DiamondNanothread_300.jpg)
A new form of carbon produced by very slowly releasing benzene compressed at 200,000 times atmospheric pressure may be the strongest material possible.
The Theory Prize was given for research into diamond nanoparticles; the Experimental Prize was given for development of scanning tunneling microscope (STM) technology.
Design and computational simulation of amyloid proteins of diverse functions from diverse sources enable the self-assembly of proteins that could provide scaffolds for diverse applications.
RNA origami brings new dimensions to nucleic acid nanotechnology by exploiting the much greater variety of RNA structural motifs (compared to DNA) to do what cannot easily be done with DNA origami, like fold into predetermined nanostructures rapidly while being transcribed.
Iterative coupling, purification, and cyclization of a large collection of organic building blocks promises a vast array of complex small and medium sized molecules as candidates for drug discovery, catalysis, and nanotechnology.
A commentary over at Gizmodo argues that ideas about molecular manufacturing that sounded like science fiction in 1986 now sound more like science fact.
The idea that nanorobots fabricated by atomically precise manufacturing processes are a likely part of our future, and that this is a good thing, is appearing more frequently, largely as a result of Drexler’s recent book Radical Abundance.
One example is presented of how well the meme is spreading that nanotechnology will evolve toward atomically precise manufacturing that will in turn bring forth a world of abundance.
Combinations of different types of DNA nanorobots, implementing different logic gates, work together to tag a specific type of cell in a living cockroach depending on the presence or absence of two protein signals.
A more general computational framework predicts the structures of 2D and 3D-curved DNA nanostructures impossible to predict using previously available computational methods. May lead to 3D-printing DNA nanostructures?