Frontiers In Data Analytics And Monitoring Tools For Extreme Materials

Frontiers in Data Analytics and Monitoring Tools for Extreme Materials

One of the major challenges in materials science today is developing materials that can survive and function in extreme environments, such as the high-radiation environments found in a fission or fusion reactor or the ultra-high temperature experienced by a hypervelocity vessel or a spacecraft traveling through Earths atmosphere on its return to the planets surface. What is needed to discover such materials was the topic of a 2-day workshop held at the National Academies of Sciences, Engineering, and Medicine on October 5-6, 2022. That workshop, titled Materials in Extreme Environments: New Monitoring Tools and Data-Driven Approaches, brought together an international collection of experts on the testing and measurement of materials in extreme environments and on discovering and developing new materials. This Proceedings of a Workshop recaps the presentations and discussions that took place during the 2 days of the workshop.

Data Analytics and Artificial Intelligence for Earth Resource Management

Data Analytics and Artificial Intelligence for Earth Resource Management offers a detailed look at the different ways data analytics and artificial intelligence can help organizations make better-informed decisions, improve operations, and minimize the negative impacts of resource extraction on the environment. The book explains several different ways data analytics and artificial intelligence can improve and support earth resource management. Predictive modeling can help organizations understand the impacts of different management decisions on earth resources, such as water availability, land use, and biodiversity.Resource monitoring tracks the state of earth resources in real-time, identifying issues and opportunities for improvement. Providing managers with real-time data and analytics allows them to make more informed choices. Optimizing resource management decisions help to identify the most efficient and effective ways to allocate resources. Predictive maintenance allows organizations to anticipate when equipment might fail and take action to prevent it, reducing downtime and maintenance costs. Remote sensing with image processing and analysis can be used to extract information from satellite images and other remote sensing data, providing valuable information on land use, water resources, and other earth resources. - Provides a comprehensive understanding of data analytics and artificial intelligence (AI) for earth resource management - Includes real-world case studies and examples to demonstrate the practical applications of data analytics and AI in earth resource management - Presents clear illustrations, diagrams, and pictures that make the content more understandable and engaging

National Nuclear Security Administration Management of Its National Security Laboratories