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Can I read Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation (Communications in Computer and Information Science) on EtoBox?

Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation (Communications in Computer and Information Science) by Kothe Doug (editor), Geist Al (editor), Swaroop Pophale (editor), Hong Liu (editor), Suzanne Parete-Koon (editor) is a nonfiction available to read on EtoBox.

What is Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation (Communications in Computer and Information Science) about?

This book constitutes 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, held virtually, during August 23–25, 2022. The 24 full papers included in this book were carefully reviewed and selected from 74 submissions. They were organized in topical sections as follows: foundational methods enabling science in an integrated ecosystem; science and engineering applications requiring and motivating an integrated ecosystem; systems and software advances enabling an integrated science and engineering ecosystem; deploying advanced technologies for an integrated science and engineering ecosystem; and scientific data challenges.

Who reads Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation (Communications in Computer and Information Science)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Kothe Doug (editor), Geist Al (editor), Swaroop Pophale (editor), Hong Liu (editor), Suzanne Parete-Koon (editor)
Publisher
Springer International Publishing AG
Published
2023
Language
EN
ISBN
9783031236051
Category
nonfiction
Subjects
Computer Science, Stem

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