{"680147":{"#nid":"680147","#data":{"type":"event","title":"PhD Proposal by Shivank Shukla","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EShivank Shukla\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EAdvisor: Prof. Rampi Ramprasad\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003Ewill propose a doctoral thesis entitled,\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EADVANCED POLYMER DESIGN FOR EXTREME ENVIRONMENTS:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003E\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002\u2002HIGH-ENERGY DENSITY CAPACITORS AND AI-DRIVEN PROPERTY OPTIMIZATION\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EOn\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EFriday, Feb. 14, 2024\u003C\/p\u003E\u003Cp\u003E9 am - 11 am\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIn\u0026nbsp;\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EMRDC Room 4211\u003C\/p\u003E\u003Cp\u003Eor\u0026nbsp;\u003C\/p\u003E\u003Cp\u003Evirtually via \u003Ca href=\u0022https:\/\/teams.microsoft.com\/dl\/launcher\/launcher.html?url=%2F_%23%2Fl%2Fmeetup-join%2F19%3Ameeting_YmRkM2UwZmEtMDViNC00OTAyLTliZDAtMjBhNTRlNjFhOTg1%40thread.v2%2F0%3Fcontext%3D%257b%2522Tid%2522%253a%2522482198bb-ae7b-4b25-8b7a-6d7f32faa083%2522%252c%2522Oid%2522%253a%2522201ed8c1-9680-448e-ac11-1fb2468b01c8%2522%257d%26anon%3Dtrue\u0026amp;type=meetup-join\u0026amp;deeplinkId=02a56fc7-44aa-40e0-b394-151ea6922a4d\u0026amp;directDl=true\u0026amp;msLaunch=true\u0026amp;enableMobilePage=true\u0026amp;suppressPrompt=true\u0022\u003ETeams\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EProf. Rampi Ramprasad- School of Materials Science and Engineering (advisor)\u003C\/p\u003E\u003Cp\u003EProf. Naresh Thadani- School of Materials Science and Engineering\u003C\/p\u003E\u003Cp\u003EProf. Chaitanya Deo- School of Materials Science and Engineering\u003C\/p\u003E\u003Cp\u003EProf. Roshan Joseph- School of Industrial and Systems Engineering\u003C\/p\u003E\u003Cp\u003EProf. Guoxiang (Emma) Hu- School of Materials Science and Engineering\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract:\u0026nbsp;\u003C\/strong\u003EDesigning functional polymers for specific applications is a highly complex and non-trivial challenge. The staggering diversity within the chemical space offers boundless potential, yet this very vastness transforms exploration into a daunting endeavor. The stakes are higher when engineering polymers for uncharted conditions, where no existing materials exhibit the necessary properties. In this work, we focus on one such extreme environment: polymer dielectric membranes for high-energy density capacitors operating at elevated temperatures. Most commercially available polymer dielectrics suffer from a significant decline in energy density as the temperature rises. To address these challenges, we introduce a cutting-edge polymer dielectric design pipeline, combining data-driven methods, machine learning, virtual reactions, and high-throughput simulations, culminating in experimental validation. Our approach rapidly screens millions of potential polymers, dramatically reducing the timeline from years to months. We trained ML models across several polymer classes, enabling fast and accurate property predictions. Additionally, our Molecular Dynamics (MD) simulation protocol predicts the glass transition temperature of polymers, providing an initial validation tool and a secondary data source to further train and refine our models. This integrated design approach not only accelerates design but also offers a scalable approach to tackle the design challenge for extreme environments.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EADVANCED POLYMER DESIGN FOR EXTREME ENVIRONMENTS:\u003Cbr\u003E\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u2002HIGH-ENERGY DENSITY CAPACITORS AND AI-DRIVEN PROPERTY OPTIMIZATION\u003Cbr\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"ADVANCED POLYMER DESIGN FOR EXTREME ENVIRONMENTS: \u2002HIGH-ENERGY DENSITY CAPACITORS AND AI-DRIVEN PROPERTY OPTIMIZATION"}],"uid":"27707","created_gmt":"2025-02-03 20:12:39","changed_gmt":"2025-02-03 20:13:28","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-02-14T09:00:00-05:00","event_time_end":"2025-02-14T11:10:00-05:00","event_time_end_last":"2025-02-14T11:10:00-05:00","gmt_time_start":"2025-02-14 14:00:00","gmt_time_end":"2025-02-14 16:10:00","gmt_time_end_last":"2025-02-14 16:10:00","rrule":null,"timezone":"America\/New_York"},"location":"MRDC Room 4211 or  virtually via Teams","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}