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      Predicting the state of charge and health of batteries using data-driven machine learning

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          Modeling of Galvanostatic Charge and Discharge of the Lithium/Polymer/Insertion Cell

          Marc Doyle (1993)
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            Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD)

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              High-throughput sequencing technologies.

              The human genome sequence has profoundly altered our understanding of biology, human diversity, and disease. The path from the first draft sequence to our nascent era of personal genomes and genomic medicine has been made possible only because of the extraordinary advancements in DNA sequencing technologies over the past 10 years. Here, we discuss commonly used high-throughput sequencing platforms, the growing array of sequencing assays developed around them, as well as the challenges facing current sequencing platforms and their clinical application. Copyright © 2015 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Nature Machine Intelligence
                Nat Mach Intell
                Springer Science and Business Media LLC
                2522-5839
                March 2020
                March 2 2020
                March 2020
                : 2
                : 3
                : 161-170
                Article
                10.1038/s42256-020-0156-7
                9343d27d-c0e5-491f-941e-132ff7730fff
                © 2020

                http://www.springer.com/tdm

                http://www.springer.com/tdm

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