Part 1: Fuel Cell Characterization Part 2: Fuel Cell Voltage Part 3: Fuel Cell Efficiency Part 4: Butler-Volmer Equation Part 5: Electrical Conduction Part 6: Charge transport Part 7: Mass Transport

• Important Terms of batteries • Why lithium batteries? • Necessity, and advantage • Different types of lithium batteries • Primary and secondary/rechargeable • Working mechanism • How they store charges

• Lithium-metal batteries • Safety problem • Lithium-ion batteries • Components, working mechanism • Cathode materials: LiFePO4 , Li-Mn-O

• Overview of anode materials • Introduction of graphite • Chemistry of graphite • Molecular structure and Li insertion • Synthesis and modification methods • One literature example

• Introduction of silicon • Chemistry of silicon • Reaction mechanisms of silicon anode • Problems • Synthesis and modification methods • One literature example

• Introduction of TiO2 • Chemistry of TiO2 • Molecular structure and Li insertion • Synthesis and modification methods • Several literature examples

• Why safety? • Origins of safety concerns • Thermal runaway process: 3 stages • Materials with improved battery safety • Materials to solve problems in 3 stages

 机器学习是数据分析与挖掘的一种手段  机器学习是什么？  利用经验改善系统自身的性能  关于T和P，程序对E进行学习  Looking for a function  机器学习发展史  人工智能三阶段：推理期、知识期、学习期  深度学习∈机器学习∈人工智能  机器学习基本术语  回归、分类；模型、学习器；样本、样例……  模型选择：奥卡姆剃刀？NFL？

 1.1 What’s big data?  1.2 Overview of data analysis  1.3 Overview of data mining  1.4 Make requirement for different professional applications

 3.1 Learning Problems  3.2 The least square method (LSM)  3.3 Linear regression analysis  1 Simple Linear Regression  2 Multiple Regression  3 Understanding the Regression Output  4 Coefficient of Determination R2  5 Validating the Regression Model