Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
1205 University of Houston (143093)
Principal Investigator: Ghasemi,Hadi
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 500,001
Exceeds $250,000 (Is it flagged?): Yes
Start and End Dates: 12/1/22 - 11/30/25
Restricted Research: YES
Academic Discipline: Mechanical Engineering
Department, Center, School, or Institute: Mechanical Engineering
Title of Contract, Award, or Gift: PHYSICS-INFORMED MACHINE LEARNING-DRIVEN HIERARCHICAL STRUCTURES FOR THIN-FILM COOLING
Name of Granting or Contracting Agency/Entity:
U.S. Navy Office of Naval Research
CFDA Link: DOD
12.300
Program Title:
n/a
CFDA Linked: Basic and Applied Scientific Research
Note:
Through a comprehensive physic-informed machine-learning (ML) platform, we aim to predict heat transfer characteristics of a material structure before fabrication and experimentation. The governing variables on heat flux including geometrical dimensions of the material structure and properties of the working fluid will be determined. Through optimization, we will find the optimal material structures for each working fluid. These structures will be fabricated and experimentally tested to validate this new platform. Furthermore, this platform enables us to reveal new fundamentals of liquid-vapor phase change at nano/molecular scales including the role of interface curvature on mass flux, wetting characteristic and momentum transport in confined geometries. SAMs 1.1.1
Discussion: No discussion notes