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Key processes, including knowledge accumulation for predictive design and experimental refinement and validation, are traditionally labor-insensitive and timeconsuming, making it difficult to balance accuracy and efficiency. Here, we introduce an accelerated, autonomous system for the ondemand synthesis of electronic polymers that achieves the desired electrochromic functionality with high accuracy and efficiency. Our approach leverages large language model-assisted data mining, a physics-informed copolymer machine learning model, and an AIdriven autonomous robotic workflow in the Polybot lab. Within 72 h, Polybot autonomously synthesized electrochromic polymers (ECPs) with targeted, previously-unreported color values, including green polymers with specific absorption profiles, precisely fine-tuning copolymer structures with a 5% step size in comonomer composition within a three-monomer system. A publicly accessible ECP informatics database has also been created to foster knowledge exchange.",{"alignment":66},{"alignment":60},{"id":68,"type":55,"data":69,"tunes":71},"1fSnhho-_4",{"text":70},"For details: ",{"alignment":72},{"alignment":60},{"id":74,"type":55,"data":75,"tunes":76},"ezlCfgjRUg",{"text":47},{"alignment":77},{"alignment":60},{"id":79,"type":55,"data":80,"tunes":82},"L0eN_P7BYI",{"text":81},"Yukun Wu 1,2, Aikaterini Vriza 1, Doga Ozgulbas 3, Rafael Vescovi 3, Jianing Zhou 1,2, Zhiyang Wang 2, Shiyu Hu 4, Yuepeng Zhang 4, Qiaomu Yang 1, Anna M. Österholm 5, John R. Reynolds 5, Subramanian K. R. S. Sankaranarayanan 1, Maria K. Y. Chan 1, Ian T. Foster 3, Jianguo Mei 2, Henry Chan 1, Jie Xu 1",{"alignment":83},{"alignment":60},{"id":85,"type":55,"data":86,"tunes":88},"Ef90xjDgvo",{"text":87},"1) Nanoscience and Technology Division, Argonne National Laboratory, Lemont, Illinois 60439, United States \u003Cbr>2) Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, United States\u003Cbr>3) Data Science and Learning Division, Argonne National Laboratory, Lemont, Illinois 60439, United States\u003Cbr>4) Applied Materials Division, Argonne National Laboratory, Lemont, Illinois 60439, United States\u003Cbr>5) School of Chemistry & Biochemistry, School of Materials Science & Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States\u003Cbr>6) Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, United States\u003Cbr>",{"alignment":89},{"alignment":60},{"id":91,"type":55,"data":92,"tunes":94},"-B-XENk2ym",{"text":93},"ACS Publications\u003Cbr>https://pubs.acs.org/doi/10.1021/jacs.5c12241",{"alignment":95},{"alignment":60},{"id":97,"type":55,"data":98,"tunes":100},"DvUH6biGZp",{"text":99},"For more information about Chemspeed solutions:",{"alignment":101},{"alignment":60},{"id":103,"type":104,"data":105,"tunes":108},"62s6TEI67G","header",{"text":106,"level":107},"Contact us to learn more about this exciting article:\u003Ca href=\"https://www.chemspeed.com/contact/\">https://www.chemspeed.com/contact/\u003C/a>",3,{"alignment":109},{"alignment":60},"2.31.0","2026-05-12",{"title":113,"meta_description":114},"Autonomous Synthesis & Inverse Design of Electrochromic Polymers","Explore how autonomous synthesis and inverse design accelerate the development of high‑efficiency electrochromic polymers, improving accuracy and materials discovery.\n",[116,119,122],{"id":117,"news_id":44,"industry_id":118},1229,4,{"id":120,"news_id":44,"industry_id":121},1230,10,{"id":123,"news_id":44,"industry_id":124},1231,5,[126,128,131,133,136],{"id":127,"news_id":44,"workflow_id":4},1187,{"id":129,"news_id":44,"workflow_id":130},1188,2,{"id":132,"news_id":44,"workflow_id":107},1189,{"id":134,"news_id":44,"workflow_id":135},1190,7,{"id":137,"news_id":44,"workflow_id":118},1191,{"id":4,"sort":49,"user_created":5,"date_created":139,"user_updated":140,"date_updated":141,"internal_name":142,"header_presentation":49,"cta_text":49,"cta_link":49,"preview":143,"items":144},"2025-07-03T09:39:06.000Z","396bdb39-b8ef-4bbd-ad5d-54f68f2da054","2026-04-24T06:51:26.000Z","Default Header","42627e3f-7447-4f40-8aa6-1aedfb54c7f6",[145,219,331,375,412,456],{"item":146},{"title":147,"style":148,"items":149},"Portfolio","double",[150,197],{"nova_blocks_header_submenu_items_id":151},{"title":152,"items":153},"Scalable Automation",[154,160,166,172,178,184,191],{"sort":4,"item":155},{"page_title":156,"slug":157,"menu_description":158,"menu_icon":159},"Benchtop Solutions","benchtop-crystal","Space-Saving, High-Impact","breakfast_dining",{"sort":130,"item":161},{"page_title":162,"slug":163,"menu_description":164,"menu_icon":165},"Configurable Solutions","configurable-solutions","Tailored for Your Workflow","edit_square",{"sort":107,"item":167},{"page_title":168,"slug":169,"menu_description":170,"menu_icon":171},"NMR Automation Portfolio","bruker-nmr-automation","E2E automated NMR workflows","location_automation",{"sort":118,"item":173},{"page_title":174,"slug":175,"menu_description":176,"menu_icon":177},"XRD Automation Portfolio","bruker-xrd-automation","E2E automated XRD Workflows","api",{"sort":124,"item":179},{"page_title":180,"slug":181,"menu_description":182,"menu_icon":183},"Automated \"Make\" and IR & Raman Workflows (Optics)","automated-ir-and-raman-workflows","Spectroscopy Automation","escalator",{"sort":185,"item":186},6,{"page_title":187,"slug":188,"menu_description":189,"menu_icon":190},"QC Packages","qc-packages","Quality Control Solutions","verified_user",{"sort":135,"item":192},{"page_title":193,"slug":194,"menu_description":195,"menu_icon":196},"Software","software-and-digitalization","Connect. 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