Course syllabus for High throughput methods for accelerating materials discovery

Course syllabus adopted 2024-05-23 by Head of Programme (or corresponding).

Overview

  • Swedish nameMetoder med hög genomströmning för att påskynda materialupptäckt
  • CodeTRA440
  • Credits7.5 Credits
  • OwnerTRACKS
  • Education cycleSecond-cycle
  • DepartmentTRACKS
  • GradingTH - Pass with distinction (5), Pass with credit (4), Pass (3), Fail

Course round 1

  • Teaching language English
  • Application code 97223
  • Minimum participants8
  • Open for exchange studentsYes

Credit distribution

0124 Project 7.5 c
Grading: TH		0 c7.5 c0 c0 c0 c0 c

In programmes

Examiner

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Eligibility

General entry requirements for Master's level (second cycle)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Specific entry requirements

English 6 (or by other approved means with the equivalent proficiency level)
Applicants enrolled in a programme at Chalmers where the course is included in the study programme are exempted from fulfilling the requirements above.

Course specific prerequisites

In addition to the general requirements to study at the second-cycle level at Chalmers, necessary subject or project specific prerequisite competences (if any) must be fulfilled. Alternatively, the student must obtain the necessary competences during the course. The examiner will formulate and check these prerequisite competences. The student will only be admitted in agreement with the examiner.

The course is open to students from various master¿s programs, such as Materials Engineering, Materials Chemistry, Nanotechnology, Physics, Product Development, Production Engineering, etc. PhD students and alumni whose research or work profiles are related to materials in any way are highly encouraged to enroll in this course.

Aim

The course provides a platform to work and solve challenging cross-disciplinary authentic problems from different stakeholders in society such as the academy, industry or public institutions. Additionally, the aim is that students from different educational programs practice working efficiently in multidisciplinary development teams

Course specific aim: This course is designed to guide participants in utilizing high-throughput methodologies for creating the next generation of environmentally friendly materials, vital for establishing a sustainable society. It aims to enhance their skills in advanced experimental and theoretical approaches, thereby accelerating the discovery of novel materials.

Learning outcomes (after completion of the course the student should be able to)

  • work in multidisciplinary teams and collaborate in teams with different compositions
  • show insights about cultural differences and to be able to work sensitively with them.
  • show insights about and deal with the impact of architecture and/or engineering solutions in a global, economic, environment and societal context.
  • orally and in writing explain and discuss information, problems, methods, design/development processes and solutions
  • Recognize the challenges and limitations of traditional materials development approaches and explain the significance of accelerating the materials discovery process.
  • Employ diverse high-throughput techniques for evaluating the composition, structure, magnetic, mechanical, and electrical properties of materials. Acquire skills in the application of these techniques for rapidly and efficiently assessing materials libraries.
  • Explain the role of autonomous synthesis using robotics and software in materials library preparation and explore the potential of AI-based optimization.
  • Explain concept of material genomics and its applications in accelerating materials discovery.
  • Explain the importance of accelerated materials discovery for a sustainable future.

Content

This course explores advanced methods in materials discovery using high-throughput techniques. It covers approaches for bulk materials, thin films, and nanoparticles, including additive manufacturing, magnetron co-sputtering, and chemical flow synthesis. High-throughput characterization methods such as micro XRD, micro-XRF, and electron microscopy, along with mechanical, magnetic, electric, and electrochemical property evaluations, are discussed. Computational approaches like thermodynamic modeling, machine learning, and AI-driven data analysis are integrated. Applications in magnetic materials, electronics, batteries, and structural materials, as well as the role of accelerated materials discovery in sustainability, are covered.

Organisation

The course is run by a teaching team.
The main part of the course is a challenge driven project. The challenge may range from being broad societal to profound research driven. The project task is solved in a group. The course is supplemented by on-demand teaching and learning of the skills necessary for the project. The project team will have one university examiner, one or a pole of university supervisors and one or a pole of external co-supervisors if applicable.

Students will collaborate on projects and laboratory work in group settings. Topics for projects span a range of materials, including magnetic materials, battery materials, structural materials, and various techniques, and can be tailored to match your background and interests.

Literature

With input from the teaching team, students will develop the ability to identify and acquire relevant literature throughout their projects.

Examination including compulsory elements

The course will include lectures and group discussions, with assessment based on assignments/quizzes (10 %), report writing (30%), and a final project presentation (50%). Discussions during class/seminar and project presentations contribute 10% to the grade.

The course examiner may assess individual students in other ways than what is stated above if there are special reasons for doing so, for example if a student has a decision from Chalmers on educational support due to disability.