BEGIN:VCALENDAR VERSION:2.0 CALSCALE:GREGORIAN PRODID:iCalendar-Ruby BEGIN:VEVENT CATEGORIES:Seminar DESCRIPTION:Accelerate the development of energy storage materials and the role of autonomous synthesis laboratories\n\nAdvanced materials are the eng ine to drive high performing and sustainable technologies. Yet their develo pment from design to synthesis and eventually scale-up span years\, if not decades. In the field of electrochemical energy storage\, all-solid-state b atteries are emerging as an alternative solution that potentially offers en hanced safety and higher energy density than conventional Li-ion batteries which use liquid electrolytes. The advancement of all-solid-state batteries is dependent on the development of new materials – in this case\, solid-st ate materials that act as electrochemically stable and fast ionic conductor s. In this seminar\, I will discuss a high-entropy compositional design str ategy aimed at enhancing ion transport in oxides [1]. Our findings suggest that the local disorder in high-entropy materials induces overlapping site- energy distributions for charge-carrying ions\, creating a percolating netw ork of connected sites through which ions can move quickly. While the disco very of a material design strategy that generates promising materials candi dates is exciting\, the subsequent challenge lies in their synthesis and va lidation. In the second part of this seminar\, I will discuss the developme nt of an autonomous solid-state synthesis laboratory designed to accelerate the synthesis step [2]. This autonomous laboratory integrates several adva nced tools: it designs synthesis recipes using knowledge text-mined from hi storical literature\, executes experiments by robots and automated instrume nts\, interprets data by machine learning models\, and makes decisions for the subsequent experiments by active learning algorithms. In a recently pub lished paper [2]\, this lab has demonstrated its capabilities in autonomous synthesis\, but has also raised debate over the reliability of autonomous workflow in materials research. The autonomous labs\, like many areas of sc ientific innovation in their early stage\, are subjected to ongoing refinem ent. The precision in synthesis decision-making\, for example\, necessities a deeper understanding of synthesis mechanisms\, which is essential for AI to provide reliable and impactful assistance [3].\n\n[1] Zeng et al. High- entropy mechanism to boost ionic conductivity. Science 378\,1320-1324 (2022 ).\n[2] Szymanski\, Zeng*\, Ceder*\, et al. An autonomous laboratory for th e accelerated synthesis of novel materials. Nature 624\, 86–91 (2023).\n[3] Zeng et al. Selective formation of metastable polymorphs in solid-state sy nthesis. Science Advances 10\, eadj5431 (2024).\n \n\nBio:\nYan Zeng is an Assistant Professor in the Department of Chemistry and Biochemistry at Flor ida State University\, started in January 2024. Yan was a Staff Scientist a nd\, before that\, a postdoctoral researcher under Prof. Gerbrand Ceder at Lawrence Berkeley National Laboratory from 2020 to 2023. She led the build of an autonomous inorganic solid-state synthesis laboratory (the A-Lab) wit h a team at LBNL and UC Berkeley. Her interests include finding new materia ls for energy storage and exploring synthesis methods to make them. Yan obt ained her Ph.D. degree in Materials Engineering from McGill University in 2 020\, where she developed Li-ion battery cathode materials using hydrotherm al synthesis under the guidance of Prof. George P. Demopoulos. Her current research interests lie at the intersection of lab automation\, energy stora ge materials\, materials synthesis\, and the extraction of critical metals. DTEND:20240307T220000Z DTSTAMP:20260306T173729Z DTSTART:20240307T210000Z GEO:42.443844;-76.483292 LOCATION:Kimball Hall\, B11 SEQUENCE:0 SUMMARY:MSE Seminar Series: Yan Zeng (Florida State) UID:tag:localist.com\,2008:EventInstance_45392734142776 URL:https://events.cornell.edu/event/mse_seminar_series_yan_zeng_florida_st ate END:VEVENT END:VCALENDAR