ProgramMaster Logo
Conference Tools for 2020 TMS Annual Meeting & Exhibition
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Thermal Transport in Crystalline and Non-crystalline Solids: Theory and Experiments
Presentation Title Physics-guided Machine-Learning Design of Aperiodic Superlattices with Maximum Localization of Coherent Phonons
Author(s) Pranay Chakraborty, Tengfei Ma, Yan Wang, Lei Cao
On-Site Speaker (Planned) Pranay Chakraborty
Abstract Scope Aperiodic superlattices exhibit much lower lattice thermal conductivity than their periodic counterparts due to the localization of coherent phonons. However, finding the optimal configuration, i.e., layer thickness distribution and order of the thicknesses, to achieve the lowest possible thermal conductivity has been a daunting task. This primarily arises from a lack of knowledge of how superlattice configuration affects the behavior of coherent phonon transport and localization. In this work, we have identified several structural parameters that are strongly correlated with the lattice thermal conductivity of the aperiodic superlattice using classical molecular dynamics simulations and atomistic Green’s function simulations. We have revealed that they affect the coherent phonon band structure and thus transmission significantly. Moreover, we have found that using physics-guided machine learning, which considers both configuration and the structural parameters identified through this work altogether, can predict the thermal conductivity of aperiodic superlattice more accurately and efficiently.
Proceedings Inclusion? Planned: Supplemental Proceedings volume

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Advancing Insights into Phonon Thermal Transport with Theory/experiment Interactions
Determining the Impact of Material Microstructure on the Effective Thermal Conductivity Using Mesoscale Simulation and Modeling
Electronic Structure and Thermal Transport Measurement of GdxSb2-xTe3
Impact of Irradiation Induced Nanoscale Defects on Optical and Thermal Properties of Cerium Dioxide
Influence of Irradiation-induced Microstructural Defects on the Thermal Conductivity of Single Crystal Thorium Dioxide
Investigations of the Thermal Conductivity of UN
Lattice Thermal Conductivity of Quartz at High Pressure and Temperature from the Boltzmann Transport Equation
Mesoscale Modeling of Thermal Conductivity of a UO2 and BeO Composite Nuclear Fuel
Multi-scale Thermal Transport Characterization of Nuclear Fuels
Multi Scale Modeling of the Thermal Conductivity: Combining First Principle Calculations with Monte Carlo
Nano- and Micro-scale Thermal Transport in Swift heavy Ion Irradiated Oxides
Non-linear Thermal Resistance Trend with Increasing Bilayer Density
Nonlinear Stopping of Phonons in Thermoelectric Crystal PbSe
Phonon Dispersion and Linewidth in ThO2 Measured by Neutron Scattering
Physics-guided Machine-Learning Design of Aperiodic Superlattices with Maximum Localization of Coherent Phonons
Structural, Transport, Magnetic, and Thermodynamic Studies of Delta-phase of Uranium
Study of Thermal Transport Properties of Thorium Dioxide Single Crystals
The Degradation of the Thermal Conductivity of Oxide Nuclear Fuel
Thermal Transport in Crystalline Solids with Irradiation-Induced Defects: Computational Modeling and Experiments
Thermal Transport in Nanostructured Crystalline and Disordered Materials
Thermal Transport in ThO2
Thermal Transport Properties of Uranium Aluminides by First-principles

Questions about ProgramMaster? Contact programming@programmaster.org