Code is crucial for customizing simulations and analyses to meet specific research needs. Scientists often write scripts in languages such as Python, MATLAB, or C++ to automate tasks, analyze data, and develop new algorithms for better accuracy and efficiency. The flexibility of coding allows researchers to tackle complex problems unique to nanotechnology.