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integrating materials and manufacturing innovation
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context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures
acquisition of real-time operation analytics for an automated serial sectioning system
extraction of process-structure evolution linkages from x-ray scattering measurements using dimensionality reduction and time series analysis
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context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures /article/10.1007/s40192-017-0094-3
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extraction of process-structure evolution linkages from x-ray scattering measurements using dimensionality reduction and time series analysis /article/10.1007/s40192-017-0093-4
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search options advanced search search help search menu » sign up / log in english deutsch academic edition corporate edition skip to: main content side column home contact us browse volumes & issues integrating materials and manufacturing innovation issn: 2193-9764 (print) 2193-9772 (online) description integrating materials and manufacturing innovation is committed to building a seamless and dynamic materials and manufacturing design framework supporting the accelerated discovery, development, and application of materials and processes. the journal explores innovations from the discovery of materials through their manufacture that support the practice of integrated computational materials engineering (icme). immi focuses on presenting new experimental and computational tools, data analysis and management methods, and valuable multiscale datasets, and on the impact the use of an icme approach has on advancing materials and manufacturing technologies. as of january 1, 2017, immi will convert from an open access journal to a subscription journal. immi will continue to be published by springer nature. all new manuscripts should be submitted via the new editorial submission site www.editorialmanager.com/immj. immi is a publication of the minerals, metals & materials society (tms). show all hide browse volumes & issues latest articles technical article context aware machine learning approaches for modeling elastic localization in three-dimensional composite microstructures ruoqian liu, yuksel c. yabansu, zijiang yang… (march 2017) brief communication acquisition of real-time operation analytics for an automated serial sectioning system j. d. madison, o. d. underwood… (march 2017) research extraction of process-structure evolution linkages from x-ray scattering measurements using dimensionality reduction and time series analysis david b. brough, abhiram kannan… (march 2017) see all articles available 2012 - 2017 volumes 6 issues 6 articles 72 open access 61 articles stay up to date article abstracts by rss register for journal updates find a volume or issue volume please enter a valid issue and/or volume. issue please enter a valid issue for volume. find share share this content on facebook share this content on twitter share this content on linkedin about this journal journal title integrating materials and manufacturing innovation coverage volume 1 / 2012 - volume 6 / 2017 print issn 2193-9764 online issn 2193-9772 publisher springer berlin heidelberg additional links register for journal updates editorial board about this journal manuscript submission topics metallic materials characterization and evaluation of materials structural materials surfaces and interfaces, thin films nanotechnology continue reading... to view the rest of this content please follow the download pdf link above. we use cookies to improve your experience with our site. more information accept over 10 million scientific documents at your fingertips browse by discipline biomedicine business and management chemistry computer science earth sciences economics education engineering environment geography history law life sciences literature materials science mathematics medicine & public health pharmacy philosophy physics political science and international relations psychology social sciences statistics our content journals books book series protocols reference works other sites springer.com springerprotocols springermaterials adisinsight help & contacts contact us impressum legal © springer international publishing ag. part of springer nature. privacy policy, disclaimer, general terms & conditions not logged in unaffiliated 51.15.46.234 springer for research & development ua-26408784-1 javascript is currently disabled, this site works much better if you enable javascript in your browser. support


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Words density analysis:

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