What are Data-Driven Approaches in Nanotechnology?
Data-driven approaches in nanotechnology involve the use of computational techniques, machine learning, and big data analytics to understand, design, and optimize nanoscale materials and devices. These approaches enable researchers to handle vast amounts of data generated from experiments and simulations efficiently, thereby accelerating the pace of discovery and innovation.
