Introduction: Local Probes in the Next Decade of Energy Research: Bridging Macroscopic and Atomic Worlds (D A Bonnell and S V Kalinin) Scanning Probes for Energy Harvesting Systems: Photovoltaics and Solar Cells: Electrical Scanning Probe Microscopy on Solar Cell Materials (R Giridharagopal, G E Rayermann and D S Ginger) Organic Solar Cell Materials and Devices Characterized by Conductive and Photoconductive Atomic Force Microscopy (X-D Dang, M Guide and T-Q Nguyen) Kelvin Probe Force Microscopy for Solar Cell Applications (T Glatzel) Reversible Rectification in Sub-Monolayer Molecular P-N Junctions: Towards Nanoscale Photovoltaic Studies (J A Smerdon, N C Giebink and J R Guest) Study of Photoinduced Charges with Atomic Force Microscopy (M Dokukin, N Guz and I Sokolov) Imaging of Nanoscale Photogenerated Charge Transport in Organic Photovoltaic Materials (B Hamadani, P M Haney and N B Zhitenev) Photoassisted Kelvin Probe Force Microscopy for Characterization of Solar Cell Materials (T Takahashi) Scanning Probes for Fuel Cells and Local Electrochemistry: Electrochemical Strain Microscopy of Oxygen-Ion Conductors: Fuel Cells and Oxide Electronics (A Kumar, S Jesse, S V Kalinin, F Ciucci and A Morozovska) Ion Dynamics in Nanoscopic Subvolumes of Solid Electrolytes Analysed by Electrostatic Force Spectroscopy (A Schirmeisen and B Roling) Nanoscale Electrochemistry in Energy Related Systems Using Atomic Force Microscopy (W Lee, M H Lee, R P O'Hayre and F B Prinz) Scanning Probe Microscopy of Fuel Cell Materials Under Realistic Operating Conditions (S S Nonnenmann and D A Bonnell) Scanning Probe Microscopy of Energy Storage Materials and Devices: In situ SPM Analysis of Interfacial Phenomena in Lithium-Ion Batteries (M Inaba, S-K Jeong and Z Ogumi) Conducting-Probe Atomic Force Microscopy of Electrochemical Interfaces (P A Veneman and K J Stevenson) Electrochemical Strain Microscopy of Li-ion and Li-air Battery Materials (T M Arruda, N Balke, S Jesse and S V Kalinin) Emerging Scanning Probe Techniques: High Sensitivity Scanning Impedance Microscopy and Spectroscopy (S S Nonnenmann, X Chen and D A Bonnell) Scanning Microwave Microscopy: Advances in Quantitative Capacitance and Carrier Density Measurements at the Nanometer Scale (S Wu, F Kienberger and H Tanbakuchi) Mapping Electrochemistry at the Micro and Nanoscales with Scanning Ion Conductance Microscopy (C Laslau, D E Williams and J Travas-Sejdic) Force Microscopy, Nanochemistry and Nanofabrication (R Garcia, M Chiesa and Y K Ryu) Studying the Mechanism of Piezoelectric Nanogenerators (J Song and Z L Wang).

"This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics. Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument - driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems"--

"This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning materials science, chemistry, and condensed matter physics. Written by world renowned researchers, the compilation of two authoritative volumes provides a distinct summary of the modern advances in instrument - driven data generation and analytics, establishing the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive and autonomous systems"--