On-the-fly clustering for exascale molecular dynamics simulations.

To ensure stability in your sample's cross section, it is essential to test various dimensions. In our experiments, we evaluated cross sections of 10 by 10 nanometers, 30 by 130 nanometers, 100 by 100 nanometers, and 1 micron by 1 micron. All results were consistent across these dimensions. While a 10 nanometer cross section may seem adequate for studying the phenomena, the data from the 1 by 1 micron simulation is crucial for validating this conclusion.

Moreover, if you only analyze the blue data point, it would be challenging to differentiate between a log-normal distribution and other forms. However, with the broader dataset, we can confidently reject the hypothesis that the distribution is a simple pole, suggesting a more complex behavior. Increasing the simulation size is beneficial for microscopic models.

Additionally, the right side of the slide illustrates the evolution of voids over time, along with changes in volume distribution. For a macroscopic model addressing aging, it is vital to consider this evolution in volume distribution. Overall, the analysis conducted using these algorithms provides significant insights into the phenomena under study.

Moving forward, we must focus on quantifying the uncertainties in our measurements. This will allow us to address various physical questions about how local information can enhance our microscopic models. Thank you for your attention, and I welcome any questions.