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However, training accuracies often suffer due to nonideal properties of synapses such as nonlinearity, asymmetry, limited bit precision, and dynamic weight update range within a constrained power budget. Herein, a fully scalable process is reported for digital and analog ferroelectric memory transistors with possibilities for both volatile and nonvolatile data retention and &lt;4\u2009V operation that would be suitable as programmable synaptic weight elements. Ferroelectric copolymer P(VDF\u2010TrFE) gate insulator and 2D semiconductor MoS<jats:sub>2<\/jats:sub> as the n\u2010type semiconducting channel material make them suitable for flexible and wearable substrate integration. The ferroelectric\u2010only devices show excellent performance as digital nonvolatile memory operating at &lt;\u00b15\u2009V while the hybrid ferroelectric\u2013dielectric devices show quasi\u2010continuous resistive switching resulting from gradual ferroelectric domain rotation. Analog conductance states of the hybrid devices allow good linearity and symmetry of weight updates and produce a dynamic conductance range of 10<jats:sup>4<\/jats:sup> with &gt;16 reproducible conducting states. Network training experiments with these ferroelectric field\u2010effect transistors show &gt;96% classification accuracy with Modified National Institute of Standards and Technology (MNIST) handwritten datasets highlighting their potential for implementation in scaled DNN architectures.<\/jats:p>","DOI":"10.1002\/aisy.202300391","type":"journal-article","created":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T23:39:43Z","timestamp":1692833983000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Back\u2010End and Flexible Substrate Compatible Analog Ferroelectric Field\u2010Effect Transistors for Accurate Online Training in Deep Neural Network Accelerators"],"prefix":"10.1002","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7779-3959","authenticated-orcid":false,"given":"Sayani","family":"Majumdar","sequence":"first","affiliation":[{"name":"VTT Technical Research Centre of Finland Ltd.  P.O. 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