Nano Energy and Data-Driven Discovery Laboratory

Education Partners

MEEG 44403/54403 Machine Learning for Mechanical Engineers

Course Objectives

• Develop machine learning models using TensorFlow
• Develop emulators or surrogate models for computationally expensive numerical simulations
• Develop machine learning models for anomaly detection and prediction of dynamic signals
• Analyze images/maps from experiments and simulations to predict physical quantities
• Adapt trained machine learning models to new domains
• Extract features and patterns from data and discover new knowledge
• Examine the reliability and robustness of data-driven models

Project Outcomes

MEEG 2403 Thermodynamics 002

Course Scope:

• Properties of Pure Substances (liquids, vapors, and gases)
• The First Law of Thermodynamics: Closed and Open Systems
• The Second Law of Thermodynamics
• Entropy
• Power Cycles: Gas and Vapor
• Refrigeration Cycles

Thermodynamic Cycle Visualization Tool

• Link: https://tcvd.onrender.com/#/carnot
• Developed by DALI Lab and DIFUSE Project at Dartmouth College