Structure and Properties of Materials

This educational course provides a comprehensive introduction to the structure and properties of materials, divided into several key modules to ensure a well-rounded understanding. Designed for students aiming to specialize in materials science, the course covers fundamental concepts, advanced transformation processes, and contemporary computational techniques. Through detailed theoretical knowledge and practical skills, students will be prepared to tackle both fundamental and practical problems in modern materials science.

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Course Presentation

The “Structure and Properties of Materials” course is meticulously designed to provide students with a deep and thorough understanding of the essential aspects of materials science. Consisting of four comprehensive modules, this course delves into the intricate details of material classification, structure, and properties, ensuring that students acquire a profound technical knowledge base crucial for tackling the challenges of advanced materials and technologies.

The first module lays the groundwork by introducing fundamental concepts of material science. Students will explore advanced methods of material classification and gain in-depth insights into the structure and properties of various materials, including steels, cast irons, light alloys (such as aluminum and magnesium), and non-metallic materials. This module is essential for developing a comprehensive understanding of different material types and their specific advantages and disadvantages, which is critical for advancing material technologies and developing sustainable solutions.

In the second module, the focus shifts to contemporary techniques in computer-based material modeling, emphasizing the electronic structure of materials. This module provides an exhaustive exploration of density functional theory (DFT), which is pivotal for quantum computations. Students will also develop practical expertise in utilizing sophisticated computational tools, particularly the Quantum ESPRESSO software package, to perform ab initio calculations. This hands-on experience is designed to equip students with the technical skills required for advanced computational material science, an essential component in the development of new materials and technologies powered by AI and ML.

The third module offers a detailed examination of modern ideas surrounding transformation processes in metals and alloys. This includes an in-depth study of atomic distribution in crystal lattices, atomic ordering, crystallization processes, and various phase transformations such as polymorphic and martensitic transformations. Understanding these complex processes is essential for mastering the formation and evolution of material structures and for addressing both fundamental and applied challenges in materials science. This knowledge is particularly relevant for the development of advanced materials used in cutting-edge technologies and sustainable applications.

The fourth module provides an exhaustive overview of advanced methods for analyzing the chemical composition, structure, and properties of steels and alloys. It emphasizes the development of practical laboratory skills necessary for conducting sophisticated research and performing comprehensive data analysis. This module ensures that students are well-prepared to tackle fundamental and practical problems in modern materials science through rigorous experimental techniques and methodologies. The skills acquired here are critical for innovation in advanced materials, contributing to sustainable technologies and enhancing the capabilities of AI and ML in materials research.

Overall, this course is designed to cultivate a deep technical expertise in materials science, preparing students for advanced research and professional practice. By providing an intensive and detailed study of various materials and their properties, students will be equipped to solve complex problems and contribute significantly to the field of materials science. The knowledge gained will be indispensable for advancing material technologies, promoting sustainability to revolutionize the development and application of advanced materials.

Course details

Deep tech fields

Advanced Materials

Course language

Ukrainian

Fee

Free course

Duration (hours)

60

Certificate provided

Yes

Skills addressed

This course aims to equip students with a comprehensive set of skills in understanding and manipulating the properties of materials through both fundamental concepts and advanced quantum calculations. It fosters a robust skill set that bridges fundamental material science and advanced quantum mechanical methods, preparing students for advanced studies and careers in materials science and engineering. The skills addressed in this course could be divided into fundamental ones and Quantum Calculation. Their description is as follows:

I. Fundamental Skills

Understanding Atomic and Molecular Structures of Advanced Materials (comprehend atomic structures and the periodic table, identify and describe different types of chemical bonding (ionic, covalent, metallic, van der Waals), analyze crystal structures and unit cells).

Characterizing Material Defects (identify and describe various crystal defects, including point defects, dislocations, and grain boundaries, assess the impact of defects on material properties).

Differentiating Material Types (classify and describe metals, ceramics, polymers, composites, nanomaterials, and biomaterials, understand the applications and properties of various material types).

Selecting and Designing Materials (establish criteria for material selection based on specific applications, analyze case studies in material design and failure analysis).

II. Quantum Calculation Skills

Grasping Quantum Mechanics Fundamentals (understand wave-particle duality and the Schrödinger equation, comprehend quantum states, wavefunctions, operators, eigenvalues, and eigenfunctions)

Applying Electronic Structure Theory (utilize density functional theory, implement basis sets, pseudopotentials, and effective core potentials).

Utilizing Computational Quantum Methods (employ ab initio and semi-empirical methods, use quantum mechanical software tools, apply numerical methods for solving quantum mechanical equations).

Predicting Material Properties with Quantum Calculations (creating materials with specific electronic, optical, and magnetic properties).

Course format

Online

Target group

Undergraduate-level learners, Postgraduate-level learners, Professional development learners

Quality check

Approved

Dates

Starts:

Continuously open

Ends:

Application deadline:

Continuously open

Course provider

Kyiv Academic University

The key principle behind Kyiv Academic University is “learning by doing research internationally”: to provide a research-intensive education system by leveraging the expertise of research instituti..

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