Smart Materials: Microscale and Macroscale Approaches

  • 4.9
Approx. 17 hours to complete

Description

Smart materials represent a cutting-edge global trend both in fundamental science and emerging technologies. Smart materials science is a truly interdisciplinary area at the intersection of physics, chemistry, chemical engineering, mathematical simulations, nanotechnology, biotechnology, and etc. An online course in smart materials will be of obvious interest for everyone who is interested in modern materials science and emerging trends in engineering, biotechnology, and medicine.

Knowledge

  • Identify the properties of smart materials that can be valuable in a specific area of application.
  • Apply theoretical and experimental approaches to designing, fabricating, and tuning properties of selected solid state and soft matter materials.
  • Utilize the potential of lab on chip technologies for materials science applications.

Outline

  • Smart Materials: Key Concepts
  • Welcome
  • What are smart materials
  • Overview of smart materials
  • How to use the lecture notes
  • Smart materials: specific terms
  • Course development team
  • Description of the course
  • How to use the course content
  • Contacts
  • Useful links
  • Smart materials: lecture notes
  • Smart materials: learn new terminology
  • Module summary
  • Self-evaluation test
  • Smart Materials: brief quiz
  • Background of smart materials: assessment
  • Behind Smart Properties
  • Smart properties: nanoscale
  • Smart properties: microscale
  • Solid state materials
  • Soft matter
  • Introduction to new terms
  • From macro and nano: slides for the videos
  • Useful links
  • Smart materials: lecture notes
  • Smart materials: learn new terminology
  • Smart properties: practice quiz
  • Solid state & soft matter overview
  • Behind smart properties: assessment
  • Smart Materials: Research Methods
  • Overview of microscopy methods
  • Advanced microscopy methods for smart materials
  • Spectroscopy methods for characterization of smart materials. Part 1
  • Spectroscopy methods for characterization of smart materials. Part 2
  • Overview of numerical methods
  • Introduction to Matlab. Part 1
  • Introduction to Matlab. Part 2
  • Introduction to new terminology
  • Lecture notes: spectroscopy methods
  • Lecture notes: microscopy methods
  • Research methods terminology glossary
  • Module summary
  • Self-evaluation quiz
  • Self-evaluation quiz
  • Self-evaluation quiz
  • Smart materials: research methods. Assessment
  • Lab on chip for smart materials
  • Introduction to microfluidics
  • Integration of lab on chip and smart materials
  • Fabrication of microfluidic devices: helpful hints
  • Experimental microfluidic setup
  • Synthesis of nanoparticles in microfluidic chips
  • Nonequilibrium behavior and confinement
  • Making a model of a microfluidic process
  • Simulation of microfluidic interactions
  • Introduction to new terms
  • Useful links
  • Soft matter & lab on a chip
  • Microfluidic devices: fabrication, operation, and simulation
  • Lab on chip: learn new terminology
  • Module summary
  • Microfluidics overview
  • Lab ob chip fabrication quiz
  • Self-evaluation test
  • Numerical simulation quiz
  • Background of smart materials assessment
  • From properties to applications: inspiring trends
  • Shape memory materials. Part 1
  • Shape memory materials. Part 2
  • Shape memory materials. Part 3
  • Soft matter overview
  • Introduction to target drug delivery
  • Soft matter materials in biomedicine
  • Liquid crystals
  • Advanced materials with quantum dots
  • Introduction to new terms
  • Useful links
  • Smart properties of soft matter
  • Liquid crystals & quantum dots: smart properties
  • Learn new terminology
  • Module summary
  • Afterword and course conclusions
  • Self-evaluation test
  • Soft matter quiz
  • Liquid crystals & quantum dots quiz
  • Applications of smart materials
  • Final course assessment

Summary of User Reviews

Discover the latest advancements in smart materials with this insightful course. Students love the engaging content and real-world applications.

Key Aspect Users Liked About This Course

Real-world applications

Pros from User Reviews

  • Engaging content
  • In-depth analysis of smart materials
  • Expert instructors
  • Great for professionals and students alike
  • Hands-on exercises

Cons from User Reviews

  • Lack of beginner-level materials
  • Some technical jargon may be difficult to understand
  • Limited interaction with instructors
  • Course material can be overwhelming
  • High workload
English
Available now
Approx. 17 hours to complete
Yury Galyametdinov, Fedor Senatov, Artem Bezrukov
Peter the Great St. Petersburg Polytechnic University, Kazan National Research Technological University
Coursera

Instructor

Yury Galyametdinov

  • 4.9 Raiting
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