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Digital technology for Materials Science and Processes Modelling
In an era dominated by artificial intelligence, digital technology has emerged as a pivotal backbone for the production, research, and development, as well as the application of steel materials. Enhancing the focus on the research,
The research topic "Digital Technology for Materials Science and Processes Modelling" hosted by Frontiers in Materials explores the integration of advanced digital technologies in the field of materials science. This collection of articles focuses on how digital tools like machine learning, artificial intelligence, and computational modeling are revolutionizing the way materials are designed, tested, and optimized. It covers a range of applications from enhancing material properties prediction, accelerating the discovery of new materials, to improving manufacturing processes through simulations and virtual testing. The topic also delves into the challenges and opportunities presented by these technologies, including data management, the need for interdisciplinary collaboration, and the ethical implications of AI in scientific research. Contributions discuss both theoretical advancements and practical implementations, aiming to bridge the gap between digital innovation and traditional materials science methodologies.
Read the Full Frontiers Article at https://www.frontiersin.org/research-topics/68352/digital-technology-for-materials-science-and-processes-modelling
Read the Full Frontiers Article at https://www.frontiersin.org/research-topics/68352/digital-technology-for-materials-science-and-processes-modelling
