{"product_id":"accelerating-science-and-engineering-discoveries-through-integrated-research-infrastructure-for-experiment-big-data-modeling-and-simulation-9783031236051","title":"Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book presents the refereed proceedings of the 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022. It includes 24 full papers on various topics related to an integrated science and engineering ecosystem, such as foundational methods, applications, technologies, and data challenges. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 400 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 18 January 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer International Publishing AG\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eThe 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually from August 23 to 25, 2022, presented a comprehensive collection of refereed proceedings. This book encompasses 24 full papers, meticulously reviewed and chosen from a pool of 74 submissions. These papers were organized into topical sections, covering foundational methods for integrating science within an ecosystem, applications that necessitate and drive an integrated ecosystem, advancements in systems and software to facilitate an integrated science and engineering landscape, the deployment of advanced technologies for an integrated ecosystem, and addressing scientific data challenges.\u003cbr\u003e\u003cbr\u003eThe conference aimed to foster collaboration and knowledge exchange among researchers, scientists, and engineers from various disciplines, promoting the development of innovative solutions and advancing scientific discoveries through integrated research infrastructure. The contributions presented in this book showcase the latest advancements in computational sciences, engineering, and simulation, covering a wide range of topics such as high-performance computing, big data analytics, artificial intelligence, materials science, and environmental modeling.\u003cbr\u003e\u003cbr\u003eThe review process for the papers was rigorous, ensuring that only the most relevant and high-quality research was included. The authors of these papers came from diverse backgrounds and institutions, contributing to a rich tapestry of ideas and perspectives. The conference proceedings provide a valuable resource for researchers, students, and practitioners in the field, offering insights into the latest trends, challenges, and opportunities in computational science and engineering.\u003cbr\u003e\u003cbr\u003eThe 22nd Smoky Mountains Computational Sciences and Engineering Conference on Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation, SMC 2022, held virtually from August 23 to 25, 2022, presented a comprehensive collection of refereed proceedings. This book encompasses 24 full papers, meticulously reviewed and chosen from a pool of 74 submissions. These papers were organized into topical sections, covering foundational methods for integrating science within an ecosystem, applications that necessitate and drive an integrated ecosystem, advancements in systems and software to facilitate an integrated science and engineering landscape, the deployment of advanced technologies for an integrated ecosystem, and addressing scientific data challenges.\u003cbr\u003e\u003cbr\u003eThe conference aimed to foster collaboration and knowledge exchange among researchers, scientists, and engineers from various disciplines, promoting the development of innovative solutions and advancing scientific discoveries through integrated research infrastructure. The contributions presented in this book showcase the latest advancements in computational sciences, engineering, and simulation, covering a wide range of topics such as high-performance computing, big data analytics, artificial intelligence, materials science, and environmental modeling.\u003cbr\u003e\u003cbr\u003eThe review process for the papers was rigorous, ensuring that only the most relevant and high-quality research was included. The authors of these papers came from diverse backgrounds and institutions, contributing to a rich tapestry of ideas and perspectives. The conference proceedings provide a valuable resource for researchers, students, and practitioners in the field, offering insights into the latest trends, challenges, and opportunities in computational science and engineering.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 635g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783031236051\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44289579843834,"sku":"9783031236051","price":66.63,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_e41c6465-e2a0-426e-852a-b7a2d9dbbd5a.jpg?v=1687282116","url":"https:\/\/shulphink.com\/products\/accelerating-science-and-engineering-discoveries-through-integrated-research-infrastructure-for-experiment-big-data-modeling-and-simulation-9783031236051","provider":"Shulph Ink","version":"1.0","type":"link"}