{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T21:44:15Z","timestamp":1779313455847,"version":"3.51.4"},"reference-count":73,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T00:00:00Z","timestamp":1516147200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"UK Lloyds Register Foundation","award":["LRF WBS 265-000-553-597"],"award-info":[{"award-number":["LRF WBS 265-000-553-597"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Manuf"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s10845-018-1392-0","type":"journal-article","created":{"date-parts":[[2018,1,17]],"date-time":"2018-01-17T16:49:02Z","timestamp":1516207742000},"page":"2307-2326","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":141,"title":["Materials informatics"],"prefix":"10.1007","volume":"30","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8479-8686","authenticated-orcid":false,"given":"Seeram","family":"Ramakrishna","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tong-Yi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wen-Cong","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quan","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan Sze Choong","family":"Low","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jeremy Heiarii Ronald","family":"Yune","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daren Zong Loong","family":"Tan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"St\u00e9phane","family":"Bressan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefano","family":"Sanvito","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Surya R.","family":"Kalidindi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,1,17]]},"reference":[{"key":"1392_CR1","volume-title":"Microstructure sensitive design for performance optimization","author":"BL Adams","year":"2012","unstructured":"Adams, B. L., Kalidindi, S. R., & Fullwood, D. (2012). Microstructure sensitive design for performance optimization. Oxford: Butterworth-Heinemann."},{"issue":"5","key":"1392_CR2","doi-asserted-by":"publisher","first-page":"053208","DOI":"10.1063\/1.4946894","volume":"4","author":"A Agrawal","year":"2016","unstructured":"Agrawal, A., & Choudhary, A. (2016). Perspective: Materials informatics and big data: Realization of the fourth paradigm of science in materials science. APL Materials, 4(5), 053208. \n                    https:\/\/doi.org\/10.1063\/1.4946894\n                    \n                  .","journal-title":"APL Materials"},{"key":"1392_CR3","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1186\/2193-9772-3-8","volume":"3","author":"A Agrawal","year":"2014","unstructured":"Agrawal, A., Deshpande, P. D., Cecen, A., Gautham, B. P., Choudhary, A. N., & Kalidindi, S. R. (2014). Exploration of data science techniques to predict fatigue strength of steel from composition and processing parameters. Integrating Materials and Manufacturing Innovation, 3, 8. \n                    https:\/\/doi.org\/10.1186\/2193-9772-3-8\n                    \n                  .","journal-title":"Integrating Materials and Manufacturing Innovation"},{"issue":"8","key":"1392_CR4","doi-asserted-by":"publisher","first-page":"789","DOI":"10.1177\/0734242X09343774","volume":"27","author":"T Astrup","year":"2009","unstructured":"Astrup, T., M\u00f8ller, J., & Fruergaard, T. (2009). Incineration and co-combustion of waste: Accounting of greenhouse gases and global warming contributions. Waste Management & Research, 27(8), 789\u2013799. \n                    https:\/\/doi.org\/10.1177\/0734242X09343774\n                    \n                  .","journal-title":"Waste Management & Research"},{"key":"1392_CR5","doi-asserted-by":"crossref","unstructured":"Balachandran, P. V., Xue, D., Theiler, J., Hogden, J., & Lookman, T. (2016). Adaptive strategies for materials design using uncertainties. Scientific Reports, 6 (1966).","DOI":"10.1038\/srep19660"},{"issue":"6","key":"1392_CR6","doi-asserted-by":"publisher","first-page":"839","DOI":"10.1002\/wnan.1340","volume":"7","author":"E Bergamaschi","year":"2015","unstructured":"Bergamaschi, E., Murphy, F., Poland, C. A., Mullins, M., Costa, A. L., Mcalea, E., et al. (2015). Impact and effectiveness of risk mitigation strategies on the insurability of nanomaterial production: Evidences from industrial case studies. Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology, 7(6), 839\u2013855. \n                    https:\/\/doi.org\/10.1002\/wnan.1340\n                    \n                  .","journal-title":"Wiley Interdisciplinary Reviews: Nanomedicine and Nanobiotechnology"},{"key":"1392_CR7","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.cossms.2016.05.002","volume":"21","author":"DB Brough","year":"2016","unstructured":"Brough, D. B., Wheeler, D., Warren, J., & Kalidindi, S. R. (2016). Microstructure-based knowledge systems for capturing process-structure evolution linkages. Current Opinion in Solid State & Materials Science, 21, 129\u2013140.","journal-title":"Current Opinion in Solid State & Materials Science"},{"key":"1392_CR8","unstructured":"Brownlee, J. (2013) A tour of machine learning algorithms. \n                    http:\/\/machinelearningmastery.com\/a-tour-of-machine-learning-algorithms\/\n                    \n                  .Accessed 2012."},{"key":"1392_CR9","doi-asserted-by":"publisher","first-page":"011019","DOI":"10.1103\/PhysRevX.4.011019","volume":"4","author":"J Carrete","year":"2014","unstructured":"Carrete, J., Li, W., Mingo, N., Wang, S., & Curtarolo, S. (2014). Finding unprecedentedly low-thermal-conductivity half-Heusler semiconductors via high-throughput materials modeling. Physical Review X, 4, 011019.","journal-title":"Physical Review X"},{"key":"1392_CR10","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1016\/j.jpowsour.2013.06.100","volume":"245","author":"A \u00c7e\u00e7en","year":"2014","unstructured":"\u00c7e\u00e7en, A., Fast, T., Kumbur, E. C., & Kalidindi, S. R. (2014). A data-driven approach to establishing microstructure-property relationships in porous transport layers of polymer electrolyte fuel cells. Journal of Power Sources, 245, 144\u2013153.","journal-title":"Journal of Power Sources"},{"key":"1392_CR11","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.compind.2015.09.003","volume":"81","author":"D Cerri","year":"2016","unstructured":"Cerri, D., & Terzi, S. (2016). Proposal of a toolset for the improvement of industrial systems\u2019 lifecycle sustainability through the utilization of ICT technologies. Computers in Industry, 81, 47\u201354. \n                    https:\/\/doi.org\/10.1016\/j.compind.2015.09.003\n                    \n                  .","journal-title":"Computers in Industry"},{"issue":"1","key":"1392_CR12","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.cirp.2016.04.032","volume":"65","author":"A Corona","year":"2016","unstructured":"Corona, A., Madsen, B., Hauschild, M. Z., & Birkved, M. (2016). Natural fibre selection for composite eco-design. CIRP Annals Manufacturing Technology, 65(1), 13\u201316. \n                    https:\/\/doi.org\/10.1016\/j.cirp.2016.04.032\n                    \n                  .","journal-title":"CIRP Annals Manufacturing Technology"},{"key":"1392_CR13","doi-asserted-by":"publisher","first-page":"34256","DOI":"10.1038\/srep34256","volume":"6","author":"M Jong de","year":"2016","unstructured":"de Jong, M., Chen, W., Notestine, R., Persson, K., Ceder, G., Jain, A., et al. (2016). A statistical learning framework for materials science: Application to elastic moduli of k-nary inorganic polycrystalline compounds. Scientific Reports, 6, 34256. \n                    https:\/\/doi.org\/10.1038\/srep34256\n                    \n                  .","journal-title":"Scientific Reports"},{"issue":"2","key":"1392_CR14","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.cossms.2014.02.003","volume":"18","author":"JJ Pablo de","year":"2014","unstructured":"de Pablo, J. J., Jones, B., Kovacs, C. L., Ozolins, V., & Ramirez, A. P. (2014). The materials genome initiative, the interplay of experiment, theory and computation. Current Opinion in Solid State and Materials Science, 18(2), 99\u2013117. \n                    https:\/\/doi.org\/10.1016\/j.cossms.2014.02.003\n                    \n                  .","journal-title":"Current Opinion in Solid State and Materials Science"},{"issue":"4","key":"1392_CR15","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1080\/10426919008953291","volume":"5","author":"J Dean","year":"1990","unstructured":"Dean, J. (1990). Lange\u2019s handbook of chemistry. Material and Manufacturing Process, 5(4), 687\u2013688.","journal-title":"Material and Manufacturing Process"},{"issue":"8","key":"1392_CR16","doi-asserted-by":"publisher","first-page":"2053","DOI":"10.1007\/s11837-016-2000-4","volume":"68","author":"A Dima","year":"2016","unstructured":"Dima, A., Bhaskarla, S., Becker, C., Brady, M., Campbell, C., Dessauw, P., et al. (2016). Informatics infrastructure for the materials genome initiative. JOM, 68(8), 2053\u20132064. \n                    https:\/\/doi.org\/10.1007\/s11837-016-2000-4\n                    \n                  .","journal-title":"JOM"},{"key":"1392_CR17","doi-asserted-by":"publisher","first-page":"316","DOI":"10.1080\/01621459.1983.10477973","volume":"78","author":"B Efron","year":"1983","unstructured":"Efron, B. (1983). Estimating the error rate of a prediction rule: Improvement on cross-validation. Journals of American Statistical Association, 78, 316\u2013331.","journal-title":"Journals of American Statistical Association"},{"key":"1392_CR18","doi-asserted-by":"publisher","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"J Friedman","year":"2001","unstructured":"Friedman, J. (2001). Greedy boosting approximation: A gradient boosting machine. Annals of Statistics, 29, 1189\u20131232. \n                    https:\/\/doi.org\/10.1214\/aos\/1013203451\n                    \n                  .","journal-title":"Annals of Statistics"},{"issue":"8","key":"1392_CR19","doi-asserted-by":"publisher","first-page":"641","DOI":"10.1038\/nmat1691","volume":"5","author":"CC Fischer","year":"2006","unstructured":"Fischer, C. C., Tibbetts, K. J., Morgan, D., & Ceder, G. (2006). Predicting crystal structure by merging data mining with quantum mechanics. Nature Materials, 5(8), 641\u2013646.","journal-title":"Nature Materials"},{"key":"1392_CR20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-75197-7","volume-title":"Foundations of rule learning","author":"J F\u00fcrnkranz","year":"2012","unstructured":"F\u00fcrnkranz, J., Gamberger, D., & Lavra\u010d, N. (2012). Foundations of rule learning. Berlin: Springer."},{"key":"1392_CR21","volume-title":"Genetic algorithms and engineering design","author":"M Gen","year":"1997","unstructured":"Gen, M., & Cheng, R. (1997). Genetic algorithms and engineering design. New York: Wiley."},{"issue":"10","key":"1392_CR22","doi-asserted-by":"publisher","first-page":"105503","DOI":"10.1103\/PhysRevLett.114.105503","volume":"114","author":"LM Ghiringhelli","year":"2014","unstructured":"Ghiringhelli, L. M., Vybiral, J., Levchenko, S. V., Draxl, C., & Scheffler, M. (2014). Big data of materials science: Critical role of the descriptor. Physical Review Letters, 114(10), 105503.","journal-title":"Physical Review Letters"},{"key":"1392_CR23","doi-asserted-by":"publisher","first-page":"740","DOI":"10.1111\/j.1530-9290.2010.00273.x","volume":"14","author":"GB Grant","year":"2010","unstructured":"Grant, G. B., Seager, T. P., Massard, G., & Nies, L. (2010). Information and communication technology for industrial symbiosis. Journal of Industrial Ecology, 14, 740\u2013753.","journal-title":"Journal of Industrial Ecology"},{"key":"1392_CR24","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.actamat.2015.02.045","volume":"91","author":"A Gupta","year":"2015","unstructured":"Gupta, A., Cecen, A., Goyal, S., Singh, A. K., & Kalidindi, S. R. (2015). Structure-property linkages using a data science approach: Application to a non-metallic inclusions\/steel composite system. Acta Materialia, 91, 239\u2013254.","journal-title":"Acta Materialia"},{"key":"1392_CR25","doi-asserted-by":"publisher","first-page":"154","DOI":"10.1016\/j.compscitech.2015.08.024","volume":"118","author":"M Hervy","year":"2015","unstructured":"Hervy, M., Evangelisti, S., Lettieri, P., & Lee, K.-Y. (2015). Life cycle assessment of nanocellulose-reinforced advanced fibre composites. Composites Science and Technology, 118, 154\u2013162. \n                    https:\/\/doi.org\/10.1016\/j.compscitech.2015.08.024\n                    \n                  .","journal-title":"Composites Science and Technology"},{"issue":"5","key":"1392_CR26","doi-asserted-by":"publisher","first-page":"053102","DOI":"10.1063\/1.4944683","volume":"4","author":"A Jain","year":"2016","unstructured":"Jain, A., Persson, K. A., & Ceder, G. (2016). Research Update: The materials genome initiative: Data sharing and the impact of collaborative ab initio databases. APL Materials, 4(5), 053102. \n                    https:\/\/doi.org\/10.1063\/1.4944683\n                    \n                  .","journal-title":"APL Materials"},{"key":"1392_CR27","volume-title":"Hierarchical materials informatics","author":"SR Kalidindi","year":"2015","unstructured":"Kalidindi, S. R. (2015). Hierarchical materials informatics. Oxford: Butterworth Heinemann."},{"key":"1392_CR28","first-page":"103","volume":"17","author":"SR Kalidindi","year":"2010","unstructured":"Kalidindi, S. R., Niezgoda, S. R., Landi, G., Vachhani, S., & Fast, T. (2010). A novel framework for building materials knowledge systems. Computers, Materials & Continua, 17, 103\u2013125.","journal-title":"Computers, Materials & Continua"},{"issue":"8","key":"1392_CR29","doi-asserted-by":"publisher","first-page":"596","DOI":"10.1557\/mrs.2016.164","volume":"41","author":"SR Kalidindi","year":"2016","unstructured":"Kalidindi, S. R., Brough, D. B., Li, S., Cecen, A., Blekh, A. L., Congo, F. Y. P., et al. (2016a). Role of materials data science and informatics in accelerated materials innovation. MRS Bulletin, 41(8), 596\u2013602. \n                    https:\/\/doi.org\/10.1557\/mrs.2016.164\n                    \n                  .","journal-title":"MRS Bulletin"},{"issue":"1","key":"1392_CR30","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1146\/annurev-matsci-070214-020844","volume":"45","author":"SR Kalidindi","year":"2015","unstructured":"Kalidindi, S. R., & De Graef, M. (2015). Materials data science: Current status and future outlook, annual review of materials research. Annual Reviews, 45(1), 171\u2013193. \n                    https:\/\/doi.org\/10.1146\/annurev-matsci-070214-020844\n                    \n                  .","journal-title":"Annual Reviews"},{"key":"1392_CR31","doi-asserted-by":"publisher","first-page":"2126","DOI":"10.1007\/s11837-016-2036-5","volume":"68","author":"SR Kalidindi","year":"2016","unstructured":"Kalidindi, S. R., Medford, A. J., & McDowell, D. L. (2016b). Vision for data and informatics in the future materials innovation ecosystem. JOM, 68, 2126\u20132137.","journal-title":"JOM"},{"key":"1392_CR32","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.scriptamat.2012.12.003","volume":"70","author":"L Kaufman","year":"2014","unstructured":"Kaufman, L., & \u00c5gren, J. (2014). CALPHAD, first and second generation\u2014Birth of the materials genome. Scripta Materialia, 70, 3\u20136. \n                    https:\/\/doi.org\/10.1016\/j.scriptamat.2012.12.003\n                    \n                  .","journal-title":"Scripta Materialia"},{"key":"1392_CR33","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/j.actamat.2016.10.033","volume":"123","author":"A Khosravani","year":"2017","unstructured":"Khosravani, A., Cecen, A., & Kalidindi, S. R. (2017). Development of high throughput assays for establishing process-structure-property linkages in multiphase polycrystalline metals: Application to dual-phase steels. Acta Materialia, 123, 55\u201369.","journal-title":"Acta Materialia"},{"key":"1392_CR34","doi-asserted-by":"publisher","first-page":"2716","DOI":"10.1016\/j.actamat.2010.01.007","volume":"58","author":"G Landi","year":"2010","unstructured":"Landi, G., Niezgoda, S. R., & Kalidindi, S. R. (2010A). Multi-scale modeling of elastic response of three-dimensional voxel-based microstructure datasets using novel DFT-based knowledge systems. Acta Materialia, 58, 2716\u20132725.","journal-title":"Acta Materialia"},{"key":"1392_CR35","first-page":"273","volume":"16","author":"G Landi","year":"2010","unstructured":"Landi, G., & Kalidindi, S. R. (2010B). Thermo-elastic localization relationships for multi-phase composites. Computers, Materials & Continua, 16, 273\u2013293.","journal-title":"Computers, Materials & Continua"},{"issue":"10","key":"1392_CR36","doi-asserted-by":"publisher","first-page":"6107","DOI":"10.1021\/acs.chemrev.5b00691","volume":"116","author":"TC Le","year":"2016","unstructured":"Le, T. C., & Winkler, D. A. (2016). Discovery and optimization of materials using evolutionary approaches. Chemical Reviews, 116(10), 6107\u20136132. \n                    https:\/\/doi.org\/10.1021\/acs.chemrev.5b00691\n                    \n                  .","journal-title":"Chemical Reviews"},{"key":"1392_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.cossms.2016.10.002","author":"T Lookman","year":"2016","unstructured":"Lookman, T., Balachandran, P. V., Xue, D., Hogden, J., & Theiler, J. (2016). Statistical inference and adaptive design for materials discovery. Current Opinion in Solid State and Materials Science,. \n                    https:\/\/doi.org\/10.1016\/j.cossms.2016.10.002\n                    \n                  .","journal-title":"Current Opinion in Solid State and Materials Science"},{"key":"1392_CR38","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/KEM.572.20","author":"JSC Low","year":"2014","unstructured":"Low, J. S. C., Lu, W. F., & Song, B. (2014). Methodology for an integrated life cycle approach to design for environment. Key Engineering Materials,. \n                    https:\/\/doi.org\/10.4028\/www.scientific.net\/KEM.572.20\n                    \n                  .","journal-title":"Key Engineering Materials"},{"key":"1392_CR39","doi-asserted-by":"publisher","DOI":"10.1177\/1063293X11424513","author":"B Lu","year":"2011","unstructured":"Lu, B., Zhang, J., Xue, D., & Gu, P. (2011). Systematic lifecycle design for sustainable product development. Concurrent Engineering,. \n                    https:\/\/doi.org\/10.1177\/1063293X11424513\n                    \n                  .","journal-title":"Concurrent Engineering"},{"issue":"4","key":"1392_CR40","doi-asserted-by":"publisher","first-page":"326","DOI":"10.1557\/mrs.2016.61","volume":"41","author":"DL McDowell","year":"2016","unstructured":"McDowell, D. L., & Kalidindi, S. R. (2016). The materials innovation ecosystem: A key enabler for the materials genome initiative. MRS Bulletin, 41(4), 326\u2013337. \n                    https:\/\/doi.org\/10.1557\/mrs.2016.61\n                    \n                  .","journal-title":"MRS Bulletin"},{"key":"1392_CR41","volume-title":"Machine Learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell, T. M. (1997). Machine Learning. New York City: McGraw Hill."},{"issue":"5","key":"1392_CR42","doi-asserted-by":"publisher","first-page":"053207","DOI":"10.1063\/1.4945422","volume":"4","author":"GJ Mulholland","year":"2016","unstructured":"Mulholland, G. J., & Paradiso, S. P. (2016). Perspective: Materials informatics across the product lifecycle\u2014Selection, manufacturing, and certification. APL Materials, 4(5), 053207. \n                    https:\/\/doi.org\/10.1063\/1.4945422\n                    \n                  .","journal-title":"APL Materials"},{"key":"1392_CR43","volume-title":"Materials genome initiative for global competitiveness","author":"National Science and Technology Council","year":"2011","unstructured":"National Science and Technology Council. (2011). Materials genome initiative for global competitiveness. Washington: National Science and Technology Council."},{"key":"1392_CR44","unstructured":"NISP. (2015a). A brief introduction to CRISP. National Industrial Symbiosis Programme. \n                    http:\/\/sdrn.policystudiesinstitute.org.uk\/sites\/default\/files\/events\/Paul\n                    \n                   Innes CRI (Accessed October 25, 2015)."},{"key":"1392_CR45","unstructured":"NISP. (2015b). Confidentiality Charter CRISP. National Industrial Symbiosis Programme. Available at: \n                    https:\/\/www.tees.ac.uk\/docs\/DocRepo\/Clemance\/NISPConfidentialtyCharter.pdf\n                    \n                   (Accessed: 26 October 2015)."},{"key":"1392_CR46","unstructured":"NIST. (2013). Materials informatics. National Institute of Standards and Technology. \n                    https:\/\/www.nist.gov\/programs-projects\/materials-informatics\n                    \n                  . Accessed October 30, 2016."},{"key":"1392_CR47","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.cad.2012.06.006","volume":"45","author":"JH Panchal","year":"2013","unstructured":"Panchal, J. H., Kalidindi, S. R., & McDowell, D. L. (2013). Key computational modeling issues in integrated computational materials engineering. Journal of Computer-Aided Design, 45, 4\u201325.","journal-title":"Journal of Computer-Aided Design"},{"issue":"8","key":"1392_CR48","doi-asserted-by":"publisher","first-page":"1226","DOI":"10.1109\/TPAMI.2005.159","volume":"27","author":"H Peng","year":"2005","unstructured":"Peng, H., Long, F., & Ding, C. (2005). Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Transactions on Pattern Analysis & Machine Intelligence, 27(8), 1226\u20131238. \n                    https:\/\/doi.org\/10.1109\/TPAMI.2005.159\n                    \n                  .","journal-title":"IEEE Transactions on Pattern Analysis & Machine Intelligence"},{"issue":"5","key":"1392_CR49","doi-asserted-by":"publisher","first-page":"2014","DOI":"10.1063\/1.4952608","volume":"4","author":"CL Phillips","year":"2016","unstructured":"Phillips, C. L., & Littlewood, P. (2016). Preface: Special topic on materials genome. APL Materials, 4(5), 2014\u20132016. \n                    https:\/\/doi.org\/10.1063\/1.4952608\n                    \n                  .","journal-title":"APL Materials"},{"issue":"8","key":"1392_CR50","doi-asserted-by":"publisher","first-page":"2035","DOI":"10.1007\/s11837-016-1998-7","volume":"68","author":"B Puchala","year":"2016","unstructured":"Puchala, B., Tarcea, G., Marquis, E. A., Hedstrom, M., Jagadish, H. V., & Allison, J. E. (2016). The materials commons: A collaboration platform and information repository for the global materials community. JOM, 68(8), 2035\u20132044. \n                    https:\/\/doi.org\/10.1007\/s11837-016-1998-7\n                    \n                  .","journal-title":"JOM"},{"key":"1392_CR51","volume-title":"C4.5: Programs for machine learning","author":"JR Quinlan","year":"1993","unstructured":"Quinlan, J. R. (1993). C4.5: Programs for machine learning. San Mateo, CA: Morgan Kaufmann."},{"key":"1392_CR52","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1016\/j.procir.2016.11.225","volume":"61","author":"B Raabe","year":"2017","unstructured":"Raabe, B., Low, J. S. C., Juraschek, M., Herrmann, C., Tjandra, T. B., Ng, Y. T., et al. (2017). Collaboration platform for enabling industrial symbiosis? Application of the by-product exchange network model. Procedia CIRP, 61, 263\u2013268. \n                    https:\/\/doi.org\/10.1016\/j.procir.2016.11.225\n                    \n                  .","journal-title":"Procedia CIRP"},{"issue":"7601","key":"1392_CR53","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1038\/nature17439","volume":"533","author":"P Raccuglia","year":"2016","unstructured":"Raccuglia, P., Elbert, K. C., Adler, P. D. F., Falk, C., Wenny, M. B., Mollo, A., et al. (2016). Machine-learning-assisted materials discovery using failed experiments. Nature, 533(7601), 73\u201376. \n                    https:\/\/doi.org\/10.1038\/nature17439\n                    \n                  .","journal-title":"Nature"},{"key":"1392_CR54","doi-asserted-by":"publisher","unstructured":"Rajan, Jose, & Seeram, Ramakrishna, (2018). Materials 4.0: Materials big data enabled materials discovery. Applied Materials Today. \n                    https:\/\/doi.org\/10.1016\/j.apmt.2017.12.015","DOI":"10.1016\/j.apmt.2017.12.015"},{"issue":"1","key":"1392_CR55","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1146\/annurev-matsci-070214-021132","volume":"45","author":"K Rajan","year":"2015","unstructured":"Rajan, K. (2015). Materials informatics: The materials gene and big data. Annual Review of Materials Research, 45(1), 153\u2013169. \n                    https:\/\/doi.org\/10.1146\/annurev-matsci-070214-021132\n                    \n                  .","journal-title":"Annual Review of Materials Research"},{"key":"1392_CR56","unstructured":"Rodgers, J. R., & Cebon, D. (2006). Materials informatics. MRS Bulletin,\n                           31(12), 975\u2013980. \n                    https:\/\/www.cambridge.org\/core\/article\/materials-informatics\/4DDA16B3B93C616EBAE618445488A09B\n                    \n                  ."},{"issue":"6","key":"1392_CR57","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1147\/rd.116.0601","volume":"11","author":"AL Samuel","year":"1967","unstructured":"Samuel, A. L. (1967). Some studies in machine learning using the game of checkers. IBM Journal of Research and Development, 11(6), 601\u2013617.","journal-title":"IBM Journal of Research and Development"},{"key":"1392_CR58","doi-asserted-by":"publisher","first-page":"e1602241","DOI":"10.1126\/sciadv.1602241","volume":"3","author":"S Sanvito","year":"2017","unstructured":"Sanvito, S., Oses, C., Xue, J., Tiwari, A., Zic, M., Archer, T., et al. (2017). Accelerated discovery of new magnets in the Heusler alloy family. Science Advances, 3, e1602241.","journal-title":"Science Advances"},{"key":"1392_CR59","doi-asserted-by":"publisher","unstructured":"Shalev-Shwartz, S. (2011). Online learning and online convex optimization. Foundations and Trends in Machine Learning., 4(2), 107\u2013194. \n                    https:\/\/doi.org\/10.1561\/2200000018\n                    \n                  .","DOI":"10.1561\/2200000018"},{"key":"1392_CR60","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1016\/j.procir.2015.01.066","volume":"29","author":"B Song","year":"2015","unstructured":"Song, B., Yeo, Z., Low, J. S. C., Koh, D. J., Kurle, D., Cerdas, F., et al. (2015). A big data analytics approach to develop industrial symbioses in large cities. Procedia CIRP, 29, 450\u2013455. \n                    https:\/\/doi.org\/10.1016\/j.procir.2015.01.066\n                    \n                  .","journal-title":"Procedia CIRP"},{"key":"1392_CR61","doi-asserted-by":"crossref","unstructured":"Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological),\n                           58(1), 267\u201388. \n                    http:\/\/www.jstor.org\/stable\/2346178\n                    \n                  .","DOI":"10.1111\/j.2517-6161.1996.tb02080.x"},{"key":"1392_CR62","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V Vapnik","year":"1995","unstructured":"Vapnik, V. (1995). The nature of statistical learning theory. New York: Springer."},{"key":"1392_CR63","volume-title":"Statistical learning theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik, V. (1998). Statistical learning theory. New York: Wiley."},{"issue":"15","key":"1392_CR64","doi-asserted-by":"publisher","first-page":"1755","DOI":"10.1007\/s11434-014-0225-6","volume":"59","author":"Z Wang","year":"2014","unstructured":"Wang, Z., et al. (2014). Integrated materials design and informatics platform within the materials genome framework. Chinese Science Bulletin, 59(15), 1755\u20131764. \n                    https:\/\/doi.org\/10.1007\/s11434-014-0225-6\n                    \n                  .","journal-title":"Chinese Science Bulletin"},{"key":"1392_CR65","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.chemolab.2015.03.005","volume":"144","author":"P Xiong","year":"2015","unstructured":"Xiong, P., Ji, X., Zhao, X., Lv, W., Liu, T., & Lu, W. (2015). Materials design and control synthesis of the layered double hydroxide with the desired basal spacing. Chemometrics and Intelligent Laboratory Systems, 144, 11\u201316. \n                    https:\/\/doi.org\/10.1016\/j.chemolab.2015.03.005\n                    \n                  .","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"1392_CR66","doi-asserted-by":"publisher","first-page":"11241","DOI":"10.1038\/ncomms11241","volume":"7","author":"D Xue","year":"2016","unstructured":"Xue, D., Balachandran, P. V., Hogden, J., Theiler, J., Xue, D., & Lookman, T. (2016). Accelerated search for materials with targeted properties by adaptive design. Nature Communications, 7, 11241.","journal-title":"Nature Communications"},{"key":"1392_CR67","doi-asserted-by":"publisher","first-page":"532","DOI":"10.1016\/j.actamat.2016.12.009","volume":"125","author":"D Xue","year":"2017","unstructured":"Xue, D., Xue, D., Yuan, R., Zhou, Y., Balachandran, P. V., Ding, X., et al. (2017). An informatics approach to transformation temperatures of NiTi-based shape memory alloys. Acta Materialia, 125, 532\u2013541. \n                    https:\/\/doi.org\/10.1016\/j.actamat.2016.12.009\n                    \n                  .","journal-title":"Acta Materialia"},{"key":"1392_CR68","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.actamat.2015.04.049","volume":"94","author":"YC Yabansu","year":"2015","unstructured":"Yabansu, Y. C., & Kalidindi, S. R. (2015). Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals. Acta Materialia, 94, 26\u201335.","journal-title":"Acta Materialia"},{"key":"1392_CR69","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.actamat.2014.08.022","volume":"81","author":"YC Yabansu","year":"2014","unstructured":"Yabansu, Y. C., Patel, D. K., & Kalidindi, S. R. (2014). Calibrated localization relationships for elastic response of polycrystalline aggregates. Acta Materialia, 81, 151\u2013160.","journal-title":"Acta Materialia"},{"key":"1392_CR70","doi-asserted-by":"publisher","first-page":"182","DOI":"10.1016\/j.actamat.2016.10.071","volume":"124","author":"YC Yabansu","year":"2017","unstructured":"Yabansu, Y. C., Steinmetz, P., Hotzer, J., Kalidindi, S. R., & Nestler, B. (2017). Extraction of reduced-order process-structure linkages from phase-field simulations. Acta Materialia, 124, 182\u2013194.","journal-title":"Acta Materialia"},{"issue":"1","key":"1392_CR71","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0007-8506(07)60632-5","volume":"53","author":"HC Zhang","year":"2004","unstructured":"Zhang, H. C., Li, J., Shrivastava, P., Whitley, A., & Merchant, M. E. (2004). A web-based system for reverse manufacturing and product environmental impact assessment considering enf-of-life dispositions. CIRP Annals Manufacturing Technology, 53(1), 5\u20138. \n                    https:\/\/doi.org\/10.1016\/S0007-8506(07)60632-5\n                    \n                  .","journal-title":"CIRP Annals Manufacturing Technology"},{"issue":"6","key":"1392_CR72","doi-asserted-by":"publisher","first-page":"1848","DOI":"10.1021\/ci0341114","volume":"43","author":"YH Zhao","year":"2003","unstructured":"Zhao, Y. H., Abraham, M. H., & Zissimos, A. M. (2003). Determination of McGowan volumes for ions and correlation with van der Waals volumes. Journal of Chemical Information & Computer Sciences, 43(6), 1848\u20131854.","journal-title":"Journal of Chemical Information & Computer Sciences"},{"issue":"5","key":"1392_CR73","doi-asserted-by":"publisher","first-page":"053204","DOI":"10.1063\/1.4943679","volume":"4","author":"H Zhao","year":"2016","unstructured":"Zhao, H., Li, X., Zhang, Y., Schadler, L. S., Chen, W., & Brinson, L. C. (2016). Perspective: NanoMine: A material genome approach for polymer nanocomposites analysis and design. APL Materials, 4(5), 053204. \n                    https:\/\/doi.org\/10.1063\/1.4943679\n                    \n                  .","journal-title":"APL Materials"}],"container-title":["Journal of Intelligent Manufacturing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10845-018-1392-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-018-1392-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10845-018-1392-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T08:59:49Z","timestamp":1562662789000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10845-018-1392-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1,17]]},"references-count":73,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["1392"],"URL":"https:\/\/doi.org\/10.1007\/s10845-018-1392-0","relation":{},"ISSN":["0956-5515","1572-8145"],"issn-type":[{"value":"0956-5515","type":"print"},{"value":"1572-8145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1,17]]},"assertion":[{"value":"5 September 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 January 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}