What Are the Key Challenges in Data Modeling for Nanotechnology?
One of the main challenges is the multiscale nature of nanotechnology, which requires models to integrate data from the atomic to the macroscopic scale. Another challenge is the interdisciplinary nature of the field, requiring expertise in physics, chemistry, biology, and engineering. Lastly, the high variability in experimental data and the need for high computational power are significant hurdles.
