{"id":27,"date":"2019-04-17T10:21:27","date_gmt":"2019-04-17T14:21:27","guid":{"rendered":"https:\/\/groups.chem.cmu.edu\/washburn\/?page_id=27"},"modified":"2024-08-02T11:11:37","modified_gmt":"2024-08-02T15:11:37","slug":"publications","status":"publish","type":"page","link":"https:\/\/groups.chem.cmu.edu\/washburn\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div id=\"pl-27\"  class=\"panel-layout\" ><div id=\"pg-27-0\"  class=\"panel-grid panel-has-style\" ><div class=\"so-rounded panel-row-style panel-row-style-for-27-0\" ><div id=\"pgc-27-0-0\"  class=\"panel-grid-cell\" ><div id=\"panel-27-0-0-0\" class=\"so-panel widget widget_sow-headline panel-first-child panel-last-child\" data-index=\"0\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-headline so-widget-sow-headline-default-98a00a134b78-27\"\n\t\t\t\n\t\t><div class=\"sow-headline-container \">\n\t\t\t\t\t\t\t<h3 class=\"sow-headline\">\n\t\t\t\t\t\tThe Washburn Group\t\t\t\t\t\t<\/h3>\n\t\t\t\t\t\t<\/div>\n<\/div><\/div><\/div><\/div><\/div><div id=\"pg-27-1\"  class=\"panel-grid panel-no-style\" ><div id=\"pgc-27-1-0\"  class=\"panel-grid-cell\" ><div id=\"panel-27-1-0-0\" class=\"so-panel widget widget_sow-editor panel-first-child\" data-index=\"1\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-editor so-widget-sow-editor-base\"\n\t\t\t\n\t\t>\n<div class=\"siteorigin-widget-tinymce textwidget\">\n\t<p><a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acsami.1c24715?casa_token=jrBYEGDHy1EAAAAA%3ARfYtXrrHlzcYQHjbaIO739CI-qs9f7M3mJNW8S11_GVFeqD3SMCe6w2W4hVQDrhq8ib5tGxZHSvtB00\" target=\"_blank\" rel=\"noopener\">Predicting Young\u2019s Modulus of Linear Polyurethane and Polyurethane\u2013Polyurea Elastomers: Bridging Length Scales with Physicochemical Modeling and Machine Learning<\/a>. Pugar JA, Gang C, Huang C, Haider KW, Washburn NR. <em>ACS Applied Materials &amp; Interfaces<\/em>. <strong>2022<\/strong> Mar 30;14(14):16568-81.<\/p>\n<p><a href=\"https:\/\/doi.org\/10.21809\/rilemtechlett.2021.147\" target=\"_blank\" rel=\"noopener\">Advancing cement\u2010based materials design through data science approaches<\/a>. Rios RT, Childs CM, Smith SH, Washburn NR, Kurtis KE. <em>RILEM Technical Letters<\/em> (<strong>2021<\/strong>) 6:140\u2010149.<\/p>\n<p><a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acs.jpcb.0c06439?casa_token=Ch68mG1iDxkAAAAA%3A8dUolxYi5mYNd_TWpdIGRtfsraQW6iEfbBvEq0_9jGwkXaDZz7Ue_MwfwwMsB6QTnhukjpbw_KsXGIw\" target=\"_blank\" rel=\"noopener\">Elucidating the Physicochemical Basis of the Glass Transition Temperature in Linear Polyurethane Elastomers with Machine Learning<\/a>. JA Pugar, CM Childs, C Huang, KW Haider, NR Washburn. <em>The Journal of Physical Chemistry<\/em> B 124 (43), 9722-9733.<\/p>\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0008884620304828\" target=\"_blank\" rel=\"noopener\">Cheminformatics for Accelerated Design of Chemical Admixtures<\/a>. Childs CM, Canbek O, Kirby TM, Zhang C, Zheng J, Szeto C, P\u00f3czos B, Kurtis KE, Washburn NR. <em>Cement and Concrete Research<\/em> 136, 106173.<\/p>\n<p><a href=\"https:\/\/www.cambridge.org\/core\/journals\/mrs-communications\/article\/abs\/embedding-domain-knowledge-for-machine-learning-of-complex-material-systems\/0C54FD181F153B57469783B6DD482DBB\" target=\"_blank\" rel=\"noopener\">Embedding Domain Knowledge for Machine Learning of Complex Material Systems Based on Small Datasets<\/a>. Childs CM, Washburn NR. <em>MRS Communications<\/em>, (<strong>2019<\/strong>) 1-5.<\/p>\n<p><a href=\"https:\/\/onlinelibrary.wiley.com\/doi\/abs\/10.1002\/adts.201800164?casa_token=9KXbPLwplZoAAAAA:L7tdhkR2AdSN99o45sPvJ_MiVerzoW1W89TI7Ca_cWMiQX1dCnExXli9LV_ivlZ_-vBX1E00lY_F0-8\" target=\"_blank\" rel=\"noopener\">Molecular Engineering of Superplasticizers for Metakaolin\u2010Portland Cement Blends with Hierarchical Machine Learning<\/a>. Menon A, Childs CM, Pocz\u00f3s B, Washburn NR, Kurtis KE. <em>Advanced Theory and Simulations<\/em>. <strong>2019<\/strong> Apr 1;2(4).<\/p>\n<p><a href=\"https:\/\/pubs.rsc.org\/en\/content\/articlehtml\/2017\/me\/c7me00027h?casa_token=m1F6IE3N_pkAAAAA:D_uCQ7-ZsFdVrcONGBPBtuVlrJaTZjvC4jaiVkEebjsfdt63vht7-XT65ZkKklznO8xZ0fJrmg5EuA\" target=\"_blank\" rel=\"noopener\">Elucidating Multi-Physics Interactions in Suspensions for the Design of Polymeric Dispersants: A Hierarchical Machine Learning Approach<\/a>. Menon A, Gupta C, Perkins KM, DeCost BL, Budwal N, Rios RT, Zhang K, Poczos B, Washburn NR. <em>Molecular Systems Design &amp; Engineering<\/em>. <strong>2017<\/strong>; 2: 263-273.<\/p>\n<\/div>\n<\/div><\/div><div id=\"panel-27-1-0-1\" class=\"so-panel widget widget_sow-button panel-last-child\" data-index=\"2\" ><div\n\t\t\t\n\t\t\tclass=\"so-widget-sow-button so-widget-sow-button-flat-cd5bc76e79e2-27\"\n\t\t\t\n\t\t><div class=\"ow-button-base ow-button-align-left\"\n>\n\t\t\t<a\n\t\t\t\t\thref=\"http:\/\/scholar.google.com\/scholar?hl=en&#038;q=%22NR+Washburn%22&#038;as_sdt=800000000000&#038;as_ylo=2004&#038;as_vis=0\"\n\t\t\t\t\tclass=\"sowb-button ow-icon-placement-left ow-button-hover\" target=\"_blank\" rel=\"noopener noreferrer\" \t>\n\t\t<span>\n\t\t\t\n\t\t\tFull list of publications\t\t<\/span>\n\t\t\t<\/a>\n\t<\/div>\n<\/div><\/div><\/div><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Predicting Young\u2019s Modulus of Linear Polyurethane and Polyurethane\u2013Polyurea Elastomers: Bridging Length Scales with Physicochemical Modeling and Machine Learning. Pugar JA, Gang C, Huang C, Haider KW, Washburn NR. ACS Applied Materials &amp; Interfaces. 2022 Mar 30;14(14):16568-81. Advancing cement\u2010based materials design through data science approaches. Rios RT, Childs CM, Smith SH, Washburn NR, Kurtis KE. RILEM [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-27","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/pages\/27","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/comments?post=27"}],"version-history":[{"count":190,"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/pages\/27\/revisions"}],"predecessor-version":[{"id":2337,"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/pages\/27\/revisions\/2337"}],"wp:attachment":[{"href":"https:\/\/groups.chem.cmu.edu\/washburn\/wp-json\/wp\/v2\/media?parent=27"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}