
NANOSIZED HETEROSTRUCTURES EFFECTIVE THERMAL CONDUCTIVITY COEFFICIENT MODELING USING MACHINE LEARNING
Author(s) -
K. K. Abgaryan,
И. С. Колбин
Publication year - 2020
Language(s) - Uncategorized
Resource type - Conference proceedings
DOI - 10.29003/m1520.mmmsec-2020/63-66
Subject(s) - thermal conductivity , materials science , artificial neural network , heterojunction , nanostructure , superlattice , work (physics) , conductivity , computer science , thermal , modal , optoelectronics , artificial intelligence , composite material , mechanical engineering , nanotechnology , physics , thermodynamics , engineering , quantum mechanics