Top Daily Deal: Cometeer5% offShop Now
Transmission electron microscopy for materials science

Transmission electron microscopy for materials science

$49.00
Buy at Coursera

You check out on Coursera's own site. Members earn 30 points for heading to buy.

Affiliate link: if you complete a purchase, we may earn a small commission at no extra cost to you.

About this item

Learn about the fundamentals of transmission electron microscopy in materials sciences: you will be able to understand papers where TEM has been used and have the necessary theoretical basis for taking a practical training on the TEM. This course provides a comprehensive introduction to transmission electron microscopy (TEM) in the field of materials science. For an instrument operated by a single user, modern TEM provides an analytical platform with unsurpassed versatility, giving access to structural and chemical information from the micrometer to the sub-angstrom scale. In a thin, electron-transparent sample one can measure the crystallinity, grain structure, size, and defects, and the chemical composition. The crystal lattice can be imaged with atomic resolution, allowing observation of grain boundaries and interfaces. It is the only direct structural analysis method for studying nanoparticles. With this course you will gain a deep understanding of modern TEM and the connection between: - the optics and operation of the instrument; - the physics of electron-matter interactions; - insights into the materials properties of the sample. This gives the background to: - identify TEM techniques suitable to solving specific scientific problems; - interpret TEM data presented in articles; appreciate the impact of technological advances that have, for instance, led to sub-angstrom resolution by aberration correction. It can also be the basis for subsequent practical training on this remarkable instrument, and a stepping stone towards learning very advanced techniques with magical names like “dark field holography” or “angular resolved electron energy-loss spectroscopy”. Recommended background: Basics of crystallography and diffraction, college optics (construction of ray diagrams) are absolutely mandatory prerequisites; Fourier optics, more advanced crystallography and solid state physics are of great advantage.

Brand
Coursera
Type
Tech, Data & Science Courses (1012)
Item no.
crse:xC3tPBE9Eeamsw7MRtVHjQ

Copies the link with your caption. Grab a username to bank points across devices.

More about the merchant on its brand profile.

Boost this product

See what's trending

Trade the points you've earned to push this up Trending and the homepage, and to the top of its category, where more readers will find it.

Be the first to review

Your rating:
Attach a gift:
Every comment or review earns 1 point.

Loading comments…

More tech, data & science courses

See all 1012 →
Responsible AI for Developers: Fairness & Bias - 日本語版

Responsible AI for Developers: Fairness & Bias - 日本語版

このコースでは、責任ある AI および AI に関する原則のコンセプトを紹介します。AI / ML の実践における公平性とバイアスを特定し、バイアスを軽減するための実践的な手法を取り扱います。具体的には、Google Cloud プロダクトとオープンソース ツールを使用して責任ある AI のベスト プラクティスを…

0 boosts in the last 24h

$49.00

Affiliate link: if you complete a purchase, we may earn a small commission at no extra cost to you.

More from Coursera

Shop the brand →

Prices and conditions are as listed by each merchant and may change. If you complete a purchase or form, we may earn a small commission at no extra cost to you.

Following an offer here banks 10 points on this device — once per page, within the 500 points a day anything on the site can earn.

Recommended For You

Explore curated deals from top brands across every category.