Explores the application of carbon nanotubes in enhancing electron transfer for biosensors, emphasizing their role in improving sensitivity and detection limits.
Covers the use of machine learning to predict the mechanical properties of carbon nanotubes and their composites through multiscale characterization techniques.
Explores micro- and nanoelectromechanical systems, including practical applications, RF resonators, motion detection, and sensitive mass detection using carbon nanotubes.
Explores the properties and applications of carbon nanostructures, including graphene and carbon nanotubes, emphasizing their unique characteristics and diverse uses.
Explores nanoparticle fabrication methods, challenges in carbon nanotube and nanowire production, and the comparison of bottom-up and top-down approaches.
Explores the chemistry of silicon and carbon compounds, including conductivity differences, compound existence, carbon nanotubes history, and environmental impact of carbon dioxide.
Compares traditional amplitude-based sensor interfaces with a new time-based approach, showcasing the advantages of digital designs and potential for improved energy efficiency.
