Transforming the Synthesis of Carbon Nanotubes with Machine Learning
Models and Automation
Transforming the Synthesis of Carbon Nanotubes with Machine Learning
Models and Automation
Carbon-based nanomaterials (CBNs) are showing significant potential in various fields, such as electronics, energy, and mechanics. However, their practical applications face synthesis challenges stemming from the complexities of structural control, large-area uniformity, and high yield. Current research methodologies fall short in addressing the multi-variable, coupled interactions inherent to CBNs production. …