Workshop: AI for thermal energy science
Abstract
APPROVED FOR PUBLIC RELEASE -Workshop: AI on Thermal Energy Science will be held at the Susan and Henry Samueli Interdisciplinary Science and Engineering Building (ISEB), Irvine, CA, April 17-18, 2023. The workshop is created to enhance conversations across multiple disciplines to discuss the role of advanced AI and machine learning techniques in thermal energy science and applications. Recent innovations in AI and machine learning uniquely offer the potential for collecting new types of physically meaningful features that have not been addressed in the past, making their insights available to other domains, and solving for physical quantities based on first principles for multiphase thermofluidic systems. Experimental imaging data may also be coupled with scientific machine learning models. Successful studies under this theme will provide a holistic description of heat and mass transfer by resolving the underlying physical phenomena and finding hidden mechanisms, thereby pushing theknowledge boundaries of thermal energy science. To pursue this research theme, we will initiate conversations between multiple disciplines, e.g., computer science, data science, graphic science, and heat transfer community, to discuss further how AI tools advance the fundamental understanding of heat transfer physics and predict them. The format of the workshop allows for easy interactions between researchers and places a special emphasis on formaland informal exchanges between researchers from academia, government agencies, and industry. This workshop will consist of invited keynote speakers, panels from government, industry, and academia, breakout sessions, and poster presentations. This uniquely designed workshop will enable us to address the core ideas of AI technologies, current implementation status, challenges, and future outlooks for thermal energy science.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Feb 06, 2023
- Source ID
- N000142312262
Entities
People
- Yoonjin Won
Organizations
- Office of Naval Research
- United States Navy
- University of California, Irvine