Software tools play a significant role in nanocircuit testing by simulating performance and predicting potential faults. Simulation software like SPICE (Simulation Program with Integrated Circuit Emphasis) can model the behavior of nanocircuits under different conditions. Machine Learning algorithms are also being integrated to analyze large datasets and identify patterns that may indicate faults.
