ME 697R: Computation Methods for Nanoscale Energy Transport

By Xiulin Ruan

Mechanical Engineering, Purdue University, West Lafayette, IN

Lecture Number/Topic Online Lecture Video Lecture Notes Supplemental Material Suggested Exercises
ME 697R Course Overview View HTML
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ME 697R Lecture 1: Introduction View HTML
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ME 697R Lecture 2.1: Lattice Dynamics - Lattice Structure View HTML
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ME 697R Lecture 2.2: Lattice Dynamics - Reciprocal Lattice View HTML
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ME 697R Lecture 2.3A: Lattice Dynamics - Crystal Binding and Interatomic Potentials View HTML
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ME 697R Lecture 2.3B: Lattice Dynamics - Crystal Binding and Interatomic Potentials View HTML
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ME 697R Lecture 2.4: Lattice Dynamics - Dynamical Matrix and Phonon Dispersion View HTML
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ME 697R Lecture 2.5: Lattice Dynamics - Introduction to GULP View HTML
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ME 697R Lecture 3.1: Molecular Dynamics - Introduction View HTML
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ME 697R Lecture 3.2: Molecular Dynamics - Integration Algorithms View HTML
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ME 697R Lecture 3.3: Molecular Dynamics - Temperature Control View HTML
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ME 697R Lecture 3.4: Molecular Dynamics - Boundary and Initial Conditions View HTML
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ME 697R Lecture 3.5: Molecular Dynamics - Autocorrelation Function and Transport Properties View HTML
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ME 697R Lecture 3.6: Molecular Dynamics - Non-equilibrium MD View HTML
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ME 697R Lecture 3.7: Molecular Dynamics - Argon Thermal Conductivity: A Case Study View HTML
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ME 697R Lecture 3.8: Molecular Dynamics - Introduction to LAMMPS View HTML
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ME 697R Lecture 3.9: Molecular Dynamics - Modal Methods View HTML
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ME 697R Lecture 5.1: First Principles Method - Electronic Structure of Atoms and Molecules View HTML
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ME 697R Lecture 5.2: First Principles Method - Electronic Structure of Solids View HTML
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ME 697R Lecture 5.3A: First Principles Method - Density Functional Theory I View HTML
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ME 697R Lecture 5.3B: First Principles Method - Density Functional Theory II View HTML
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ME 697R Lecture 5.4: First Principles Method - Lattice Dynamces and Moleular Dynamics View HTML
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ME 697R Lecture 5.5A: First Principles Method - Development of Empirical Interatomic Potentials using DFT I View HTML
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ME 697R Lecture 5.5B: First Principles Method - Development of Empirical Interatomic Potentials using DFT II View HTML
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ME 697R Lecture 5.6: First Principles Method - First Principles Calculations of Electron-Phonon Coupling and Electrical Conductivity View HTML
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ME 697R Lecture 5.7A: First Principles Method - First Principles Calculations of Thermal Conductivity I View HTML
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ME 697R Lecture 5.7B: First Principles Method - First Principles Calculations of Thermal Conductivity II View HTML
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ME 697R Lecture 5.8: First Principles Method - First Principles Calculations of Optical Properties View HTML
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ME 697R Lecture 5.9A: First Principles Method - First Principles Prediction of Local Thermal Non-equilibrium I View HTML
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ME 697R Lecture 6: Monte Carlo Method View HTML
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ME 697R Lecture 7.1: Multiscale Multiphysics Simulations - Overview View HTML
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ME 697R Lecture 7.2: Multiscale Multiphysics Simulations - Thermoelectric Transport in PbTe View HTML
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ME 697R Lecture 7.3: Multiscale Multiphysics Simulations - Thermal Transport Across Metal-Nonmetal Interfaces View HTML
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ME 697R Lecture 7.4: Multiscale Multiphysics Simulations - Optical and Radiative Transport View HTML
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ME 697R Lecture 7.5: Multiscale Multiphysics Simulations - Electron-Phonon Coupling in Quantum Dots View HTML
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ME 697R Lecture 8.1: Machine Learning Techniques - Overview View HTML
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ME 697R Lecture 8.2: Machine Learning Techniques - Machine Learning Based Interatomic Potentials (MLIPs) View HTML
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ME 697R Lecture 8.3A: Machine Learning Techniques - Machine Learning Based Nanostructure Optimization I View HTML
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ME 697R Lecture 8.3B: Machine Learning Techniques - Machine Learning Based Nanostructure Optimization II View HTML
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ME 697R Lecture 8.4: Machine Learning Techniques - High Throughput Computation-Driven Material Discovery View HTML
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ME 697R Lecture 8.5: Machine Learning Techniques - Prediction of Thermal Properties View HTML
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