MSE 298 Seminar (Zoom): Learning Nanoscale Interfacial and Transport Phenomena

Zoom: Meeting ID 842 506 6501, Passcode 587901

Abstract: Advances in thermal science bring transformational efficiency enhancements in energy, water, manufacturing processes and electronics cooling by fundamentally manipulating thermal transport and interfacial phenomena across multiple length and time scales. Many times, thermal phenomena are naturally complex and create dynamic changes in thermofluidic characteristics, which make it difficult to advance fundamental knowledge about thermal conversion physics and efficiency mechanisms. To gain fundamental insights to fully describe these phenomena, I will discuss three key technologies in this talk: 1) machine learning models that learn, understand and predict dynamic thermal transport processes; 2) new discoveries in interfacial phenomena under phase change conditions, from an atomistic perspective; and 3) avenues to design functional thermal architectures that are widely employed as high-surface conduits for thermo-fluidic applications.

Bio: Yoonjin Won's overarching research goal is to gain fundamental insights into nanoscale transport and interfacial physics, centering on three key concepts — data-driven approach, extreme computing and materials design. The research efforts aim to bring transformational efficiency enhancements in energy, water, manufacturing processes and electronics cooling by fundamentally manipulating liquid-solid-vapor interactions and transport phenomena across multiple length and time scales. Won was recognized with an NSF CAREER award in 2018 and has received several other recognitions including the ASME EPPD Early Career Award 2018, UCI Beall Innovation Center's Emerging Innovation/Early Career Innovator of the Year 2020, ASME EPPD Women Engineer Award 2020, ASME ICNMM Outstanding Leadership Award 2019, UCI Samueli Career Development Fellowship, and numerous best paper and poster awards. The key papers are published in high impact journals including Small, Proceedings of National Academy of Science, Advanced Functional Materials, and American Chemical Society. Additional details about Won’s qualifications and research group are available online (won.eng.uci.edu).