{"id":803,"date":"2023-01-26T18:50:33","date_gmt":"2023-01-26T18:50:33","guid":{"rendered":"https:\/\/advancedmaterials.climatestage.com\/?post_type=working_papers&#038;p=803"},"modified":"2025-02-12T18:52:46","modified_gmt":"2025-02-12T18:52:46","slug":"high-throughput-experimentation-theoretical-modeling-and-human-intuition-lessons-learned-in-metal-organic-framework-supported-catalyst-design","status":"publish","type":"working_papers","link":"https:\/\/climate.climatestage.com\/advancedmaterials\/working-papers\/high-throughput-experimentation-theoretical-modeling-and-human-intuition-lessons-learned-in-metal-organic-framework-supported-catalyst-design\/","title":{"rendered":"High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal\u2013Organic-Framework-Supported Catalyst Design"},"content":{"rendered":"<p>by <em><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Katherine E. McCullough, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Daniel S. King, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Saumil P. Chheda, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Magali S. Ferrandon, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Timothy A. Goetjen, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Zoha H. Syed, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Trent R. Graham, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Nancy M. Washton, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Omar K. Farha, <\/span><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Laura Gagliardi<\/span><strong>, <\/strong><span class=\"hlFld-ContribAuthor\" tabindex=\"0\" data-id=\"article_author_info\">Massimiliano Delferro<\/span><\/em><\/p>\n<p>We have screened an array of 23 metals deposited onto the metal\u2013organic framework (MOF) NU-1000 for propyne dimerization to hexadienes. By a first-of-its-kind study utilizing data-driven algorithms and high-throughput experimentation (HTE) in MOF catalysis, yields on Cu-deposited NU-1000 were improved from 0.4 to 24.4%. Characterization of the best-performing catalysts reveal conversion to hexadiene to be due to the formation of large Cu nanoparticles, which is further supported by reaction mechanisms calculated with density functional theory (DFT). Our results demonstrate both the strengths and weaknesses of the HTE approach. As a strength, HTE excels at being able to find interesting and novel catalytic activity; any\u00a0<i>a priori<\/i>\u00a0theoretical approach would be hard-pressed to find success, as high-performing catalysts required highly specific operating conditions difficult to model theoretically, and initial simple single-atom models of the active site did not prove representative of the nanoparticle catalysts responsible for conversion to hexadiene. As a weakness, our results show how the HTE approach must be designed and monitored carefully to find success; in our initial campaign, only minor catalytic performances (up to 4.2% yield) were achieved, which were only improved following a complete overhaul of our HTE approach and questioning our initial assumptions.<\/p>\n<p><a class=\"button\" href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acscentsci.2c01422\">View Journal Article<\/a><\/p>\n","protected":false},"featured_media":0,"menu_order":0,"template":"","topics":[],"working_paper_type":[17],"class_list":["post-803","working_papers","type-working_papers","status-publish","hentry","working_paper_type-journal-article"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.2 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal\u2013Organic-Framework-Supported Catalyst Design - Advanced Materials<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/climate.climatestage.com\/advancedmaterials\/working-papers\/high-throughput-experimentation-theoretical-modeling-and-human-intuition-lessons-learned-in-metal-organic-framework-supported-catalyst-design\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"High-Throughput Experimentation, Theoretical Modeling, and Human Intuition: Lessons Learned in Metal\u2013Organic-Framework-Supported Catalyst Design\" \/>\n<meta property=\"og:description\" content=\"by Katherine E. McCullough, Daniel S. King, Saumil P. Chheda, Magali S. Ferrandon, Timothy A. Goetjen, Zoha H. Syed, Trent R. Graham, Nancy M. Washton, Omar K. Farha, Laura Gagliardi, Massimiliano Delferro We have screened an array of 23 metals deposited onto the metal\u2013organic framework (MOF) NU-1000 for propyne dimerization to hexadienes. 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McCullough, Daniel S. King, Saumil P. Chheda, Magali S. Ferrandon, Timothy A. Goetjen, Zoha H. Syed, Trent R. Graham, Nancy M. Washton, Omar K. Farha, Laura Gagliardi, Massimiliano Delferro We have screened an array of 23 metals deposited onto the metal\u2013organic framework (MOF) NU-1000 for propyne dimerization to hexadienes. 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