Emily Ayshford, Northwestern University
Theory developed to help design systems that can interact more seamlessly
University of Chicago researchers have developed a framework that could help engineers design systems that can interact more seamlessly, resulting in better performance for multicomponent systems such as batteries or sensors.
Algorithms developed to improve collaborative behavior in robots
Northwestern Engineering researchers have developed two new algorithms that can infer the topology of a network by observing the behavior of the individual nodes (such as neurons) in real time, which could help improve swarm robotics, which use collaborative manipulation to work together.
Researchers use polymer to strengthen graphene oxide sheets
Northwestern Engineering professors have developed a way to toughen up graphene oxide by layering it with polyvinyl alcohol, which can reduce failures due to cracks and piercings. This research could help with next-generation sensors and wearable electronics.
Terahertz frequency comb developed for medical, biological applications
Northwestern Engineering researchers have developed a chip-based terahertz frequency comb that works at room temperature and is designed for medical and biological screening.