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Yoshitada MORIKAWA, Tamio OGUCHI, and Masaaki Geshi

Material science plays a central role in the development of technical foundations even in the 21st century. The traditional empirical methodology of research alone does not meet the modern requirement for a rapidly changing society to ensure society that is environmentally friendly and resource-conserving. The computational materials design approach is expected to be a breakthrough to overcome these barriers.

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Material science plays a central role in the development of technical foundations even in the 21st century. The traditional empirical methodology of research alone does not meet the modern requirement for a rapidly changing society to ensure society that is environmentally friendly and resource-conserving. The computational materials design approach is expected to be a breakthrough to overcome these barriers.

Computational materials design refers to the theoretical design and optimization of materials with the desired property and function. It involves the efficient use of computational techniques to simulate materials based on the basic quantum theory.

The purpose of this course is to analyze the present status and possibilities of computational materials design and to implement a new paradigm of material science by learning basic cutting-edge computational methods and exercising materials design using quantum simulation program codes.

This course will focus on the basics of quantum simulations and their application to chemical reactions, semiconductor spintronics, carbon functional nanomaterials, dynamics at surfaces, strongly correlated and superconducting materials, materials informatics, and parallel computing on the world’s fastest supercomputers.

The layout of the course and the presenters of the modules are listed as follows.

1. Yoshitada Morikawa: Introduction

2. Yoshitada Morikawa: Design of Chemical Reactions at Interfaces

3. Kazunori Sato: Design of Magnetic Materials for Spintronics

4. Koichi Kusakabe: Carbon Functional Materials

5. Wilson Agerico Dino: Surface/Interface as a Playground/Foundation

for Realizing Designer Materials & Processes

6. Kazuhiko Kuroki: Strongly Correlated and Superconducting Materials

7. Tamio Oguchi: Development of Materials Informatics Tools

8. Masaaki Geshi: Introduction to High-Performance Computing

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What's inside

Learning objective

You will learn the basics of quantum simulations and their application to chemical reactions, semiconductor spintronics, carbon functional nanomaterials, dynamics at surfaces, strongly correlated and superconducting materials, materials informatics, and parallel computing on the world’s fastest supercomputers.

Syllabus

The course consists of eight lectures and one session on discussion and debate.
1. Introduction
2. Design of Chemical Reactions at Interfaces
3. Design of Magnetic Materials for Spintronics
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4. Carbon Functional Materials
5. Surface/Interface as a Playground/Foundation for Realizing Designer Materials & Processes
6. Strongly Correlated and Superconducting Materials
7. Development of Materials Informatics Tools
8. Introduction to High-Performance Computing

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for learners studying physics, chemistry, or materials science
Appropriate for learners interested in computational materials design
Well-structured with clear learning objectives
Taught by reputable instructors who are experts in their field
Covers a wide range of topics in computational materials design
May require learners to have a strong foundation in quantum mechanics

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Computational Materials Design with these activities:
Review quantum simulation fundamentals
By refreshing your knowledge of quantum simulation, you will have a stronger foundation to build on as you progress through the course.
Browse courses on Quantum Simulation
Show steps
  • Read the course syllabus and review the course materials
  • Focus on the basic concepts of quantum simulation, such as wavefunction, Schrödinger equation, and quantum operators
  • Solve practice problems on quantum simulation
Review basics of quantum mechanics
Review the basics of quantum mechanics to strengthen foundational understanding for this course.
Browse courses on Quantum Mechanics
Show steps
  • Revisit textbooks or online resources on quantum mechanics.
  • Solve practice problems to reinforce concepts.
  • Attend review sessions or workshops.
Solve practice problems on materials science concepts
Reinforce understanding of materials science concepts through targeted practice.
Browse courses on Materials Science
Show steps
  • Access practice problems from textbooks or online sources.
  • Attempt to solve problems independently.
  • Review solutions and identify areas for improvement.
Nine other activities
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Show all 12 activities
Review 'Computational Materials Science' by Marc De Graef
Reinforce understanding of materials science principles through a comprehensive overview of computational techniques.
Show steps
  • Read selected chapters relevant to the course content.
  • Summarize key concepts and solve practice problems.
  • Discuss the book's content with peers or an instructor.
Attend a workshop on computational materials design
Attending a workshop on computational materials design will allow you to learn from experts in the field and to network with other professionals.
Show steps
  • Identify a workshop on computational materials design that is relevant to your interests
  • Register for the workshop and attend all of the sessions
  • Network with other participants and learn from the experts
Practice designing chemical reactions at interfaces
Practicing designing chemical reactions will help you develop the skills and knowledge needed to succeed in this course.
Browse courses on Chemical Reactions
Show steps
  • Review the lecture materials on chemical reactions at interfaces
  • Complete the practice exercises in the textbook
  • Design and simulate chemical reactions at interfaces using a computational software package
Participate in discussion forums and group projects
Engage with peers to discuss concepts, share perspectives, and enhance understanding through collaboration.
Show steps
  • Join online discussion forums.
  • Contribute to group projects and share research.
  • Attend virtual or in-person meetups.
Explore simulations using VASP software
Gain hands-on experience with VASP to enhance understanding of its capabilities in materials design.
Show steps
  • Follow online tutorials on VASP.
  • Practice running simulations on various materials.
  • Analyze and interpret simulation results.
Develop a materials informatics tool
Developing a materials informatics tool will allow you to apply the concepts learned in this course to a practical problem.
Browse courses on Materials Informatics
Show steps
  • Identify a problem that can be solved using materials informatics
  • Design and implement a materials informatics tool to solve the problem
  • Validate the tool using experimental data
Write a report on a specific materials design application
Apply knowledge to a practical scenario by exploring a specific application of computational materials design.
Show steps
  • Choose a specific application of computational materials design.
  • Research and gather information on the topic.
  • Write a comprehensive report outlining the application.
Contribute to open-source materials science projects
Gain practical experience and contribute to the materials science community by participating in open-source projects.
Show steps
  • Identify open-source projects related to computational materials design.
  • Review the project documentation and contribute to discussions.
  • Make code contributions or improve documentation.
Mentor a junior student in materials science
Mentoring a junior student will help you to reinforce your understanding of the concepts learned in this course while also providing valuable guidance to a fellow student.
Browse courses on Materials Science
Show steps
  • Identify a junior student who is interested in materials science
  • Meet with the student regularly to provide guidance and support
  • Help the student to develop their research skills

Career center

Learners who complete Introduction to Computational Materials Design will develop knowledge and skills that may be useful to these careers:
Computational Chemist
A Computational Chemist uses computer simulations to study the structure and properties of molecules and materials. This course introduces students to basic quantum simulations, which are essential for studying the behavior of molecules and materials at the atomic level.
Materials Researcher
A Materials Researcher develops new materials or modifies existing ones for use in a variety of applications. This course provides an introduction to the basic principles of materials science, with a particular focus on the computational design of materials.
Theoretical Physicist
A Theoretical Physicist develops and tests theories to explain the behavior of the physical world. This course provides an introduction to the basic principles of quantum mechanics, which is essential for understanding the behavior of matter at the atomic and subatomic level.
Materials Scientist
A Materials Scientist develops new materials or modifies existing ones to create products that are stronger, lighter, more efficient, and more environmentally friendly. This course provides an introduction to computational materials design methods that can help a Materials Scientist improve their ability to design new materials.
Solid State Physicist
A Solid State Physicist studies the physical properties of solids, such as their electrical, thermal, and magnetic properties. This course provides an introduction to the basic principles of solid state physics, with a particular focus on strongly correlated and superconducting materials.
Nanotechnologist
A Nanotechnologist works with materials at the atomic and molecular scale in order to create new products and technologies. The course's information on carbon functional nanomaterials could help a Nanotechnologist learn about the properties and applications of these materials.
Surface Physicist
A Surface Physicist studies the properties of surfaces and interfaces, including those between different materials. This course provides an overview of surface physics, with a particular focus on the dynamics of surfaces and interfaces.
Data Scientist
A Data Scientist collects, analyzes, and interprets data to extract insights and make predictions. This course provides an introduction to the basic principles of data science, with a particular focus on the use of computational methods to analyze data.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course provides an introduction to the basic principles of software engineering, with a particular focus on the development of high-performance computing applications.
Operations Research Analyst
An Operations Research Analyst uses mathematical and statistical methods to solve complex problems in a variety of industries. This course provides an introduction to the basic principles of operations research, with a particular focus on the use of computational methods to solve optimization problems.
Artificial Intelligence Researcher
An Artificial Intelligence Researcher develops and tests algorithms to enable computers to perform tasks that typically require human intelligence. This course provides an introduction to the basic principles of artificial intelligence, with a particular focus on the use of computational methods to develop intelligent systems.
Nuclear Engineer
A Nuclear Engineer designs, builds, and operates nuclear power plants and other nuclear facilities. This course provides an introduction to the basic principles of nuclear engineering, with a particular focus on the computational modeling of nuclear materials.
Chemical Engineer
Chemical Engineers design and build processes to convert raw materials into useful products. This course's information on chemical reactions at interfaces can help teach a Chemical Engineer candidate about the reactions that occur in the production processes they would design.
Management Consultant
A Management Consultant provides advice to businesses on how to improve their operations. This course may be useful for a Management Consultant who wants to learn more about the use of computational methods to analyze business data.
Financial Analyst
A Financial Analyst provides financial advice to individuals and organizations. This course may be useful for a Financial Analyst who wants to learn more about the use of computational methods to analyze financial data.

Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Computational Materials Design.
Provides a comprehensive overview of the field of computational materials science, covering topics such as density functional theory, molecular dynamics, and Monte Carlo methods.
Provides a comprehensive overview of high-performance computing for computational science. It covers a wide range of topics, from the basics of parallel programming to the latest developments in supercomputing.
Provides a comprehensive overview of quantum chemistry and spectroscopy. It covers a wide range of topics, from the basics of quantum mechanics to the latest developments in spectroscopy.
Provides a comprehensive overview of solid state physics. It covers a wide range of topics, from the basics of crystallography to the latest developments in superconductivity.
Provides a comprehensive overview of the field of surface science, including topics such as surface structure, surface chemistry, and surface spectroscopy.
Provides a comprehensive overview of materials chemistry. It covers a wide range of topics, from the basics of chemistry to the latest developments in materials chemistry.
Provides a comprehensive overview of the field of superconductivity, including topics such as the BCS theory, the Ginzburg-Landau theory, and applications of superconductivity.
Provides a comprehensive overview of the field of parallel computing, including topics such as parallel algorithms, parallel programming, and parallel architectures.
Provides a comprehensive overview of materials science for engineers. It covers a wide range of topics, from the basics of materials science to the latest developments in materials engineering.
Provides a comprehensive overview of materials characterization. It covers a wide range of topics, from the basics of materials characterization to the latest developments in materials characterization techniques.
Provides a comprehensive overview of materials selection in mechanical design. It covers a wide range of topics, from the basics of materials selection to the latest developments in materials selection methods.

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