Towards a science exocortex
We propose a science exocortex—a swarm of artificial intelligence (AI) agents coordinating with each other to accomplish tasks, thereby expanding a researcher's cognitive abilities.
Engineering topics
Publications and source records attributed to Yager, Kevin G..
We propose a science exocortex—a swarm of artificial intelligence (AI) agents coordinating with each other to accomplish tasks, thereby expanding a researcher's cognitive abilities.
Block copolymer (BCP) thin films readily self-assemble into intricate nanoscale morphologies, with structure dictated by chain architecture. As the field searches for more control over structure formation, it is natural to investigate more sophisticated control mechanisms, such as synthesizing more complex chain architectures or applying directing fields. We review the use of a simple but powerful method for controlling self-assembly: blending of BCPs with homopolymers or other BCPs. Blending enables tailoring ordering kinetics, the spatial distribution of chains throughout the film thickness, and the nanoscale morphology itself. Blending is thus emerging as a remarkably simple and powerful means of tailoring self-assembled morphologies.
We demonstrate how large language models (LLMs) can be adapted to domain-specific science topics by connecting them to a corpus of trusted documents.