A new artificial neural network model, created by Argonne scientists, handles both static and dynamic features of a power system with a relatively high degree of accuracy.
In the fall of 2019, Moldova needed to identify viable alternative routes and sources of natural gas in the event of a disruption in natural gas supply to the country during the 2019-2020 winter. Argonne researchers stepped in to help.
Argonne researchers receive HPC Innovation Excellence Award for foundational simulation data and analysis techniques. The work helped AT&T develop a tool to evaluate impacts of flooding on critical infrastructure at scales previously unattainable.
Whether it’s predicting how an infectious disease will spread or forecasting weather conditions, computer simulation replicates real-world events to save researchers time and money in planning for the future.