data analytics, and machine learning models to achieve the following: (A) Multiscale modeling, characterization, and optimization of transmission and distribution systems and components to aid in planning for optimized and resilient infrastructure. (B) Correlation between sensor and emissions data at all operational points and across a variety of scales to assure system integrity spanning large areas. (C) Accurate material lifecycle predictions and simulation platforms to forecast pipeline health. (D) Secure real time autonomous monitoring and repair capabilities. (E) Mapping and monitoring of structural health parameters, such as corrosion. (7) Self-healing and self-repair functionalities, including by chemical treatment methods. (8) Autonomous robotic and patch technologies for inspection and repair. (9) Dynamic compressor technologies, including retrofit kits for existing compressor systems. (10) Strategies and technologies for integrated cybersecurity considerations and countering cyberattacks. (11) Technologies and methods to reduce potential environmental impacts, including at the atmospheric and subsurface level, associated with pipelines, liquefied natural gas facilities, and gas and liquid fuel storage facilities, such as equipment failure. (12) Tools to evaluate geographical pipeline data for the feasibility of repurposing existing infrastructure for safe and effective transport and use of alternative fuels, blends, and carbon dioxide. (13) Tools and technologies applicable to improving the safety, operation, and efficiency of liquefied natural gas facilities and gas and liquid fuel storage facilities. (c) Selection requirements In selecting eligible entities for demonstration projects under the Initiative, the Secretary shall, to the maximum extent practicable, take the following actions: (1) Encourage regional diversity among eligible entities, including participation by such entities located in rural States. (2) Prioritize technological diversity among eligible entities. (3) Prioritize a diverse mix