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Guided learning journeys that build knowledge step by step.
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This learning path equips students with the knowledge and skills to use X-ray diffraction (XRD) for identifying crystalline phases and determining crystal structures. Starting from fundamental crystallography and the physics of diffraction, it progresses through experimental techniques, data analysis, and advanced refinement methods like Rietveld refinement. The path culminates in practical applications for phase identification and structure determination in materials chemistry.
This advanced learning path systematically explores the role of point defects in materials properties, focusing on defect thermodynamics, Kröger-Vink notation, defect equilibria, non-stoichiometry, doping effects, and ionic conductivity. It is designed for university students specializing in defect engineering and provides the necessary foundation in crystallography, thermodynamics, and solid-state chemistry.
This advanced path covers the fundamental principles and quantitative models describing the kinetics of phase transformations in materials, including nucleation, growth, diffusion-controlled transformations, TTT diagrams, the Avrami equation, and precipitation. It integrates necessary thermodynamics and diffusion concepts to provide a comprehensive understanding of transformation kinetics.
A systematic learning path for materials theory students to master thermodynamic principles governing phase stability, transitions, and transformations in materials. Covers foundational thermodynamics, solution models, phase diagrams, interfaces, and transformation kinetics, with applications to binary systems.
A comprehensive learning path covering the principles and methods for synthesizing crystalline materials, from fundamental thermodynamics and kinetics to specific techniques like hydrothermal, sol-gel, CVD, flux growth, and epitaxy. This path is designed for university students in materials chemistry and solid state chemistry, progressing from foundational concepts to advanced applications.
A comprehensive learning path covering the fundamental thermodynamics and structure of material surfaces, from surface energy and adsorption to advanced characterization techniques like XPS and AES. Designed for university students with a solid background in physical chemistry and materials science.
This advanced learning path covers the synthesis and unique properties of nanomaterials, focusing on 0D, 1D, and 2D materials such as quantum dots, nanowires, and graphene. It begins with foundational concepts in solid state chemistry and quantum mechanics, then explores size-dependent properties, top-down and bottom-up synthesis methods, and concludes with applications and characterization techniques.
This advanced learning path equips students with the skills to predict and design materials using computational methods. It covers essential quantum mechanical foundations, DFT-based calculations of material properties, and the emerging role of machine learning potentials, culminating in a project that integrates these techniques.
This learning path guides students from quantum mechanics fundamentals to advanced band theory concepts, including tight-binding models, density of states, Fermi level, band gaps, effective mass, and topological insulators. It emphasizes how these concepts explain and predict materials properties.
This learning path introduces the fundamental principles of composite materials, covering matrices, reinforcements, interfaces, and their structure-property relationships. It is designed for high school students studying multi-phase materials in a chemistry context.