In silico approaches are critical in nanotechnology because they help overcome the limitations of experimental methods. Working at the nanoscale often involves significant challenges due to the small size and complex interactions of nanomaterials. Computational models can provide insights into these interactions, predict the behavior of new nanomaterials, and optimize the design of nanodevices. This reduces the need for costly and time-consuming experimental trials.
