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227-0671-00L 3 Credits DR , MSC D-ITET , D-PHYS
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Nanodevices and Circuits for the Beyond-Moore Era

Lecturers & Examiners: Dr. Ivan Shorubalko, Dr. Miklos Csontos
VVZ CR n/a

Last Updated: 2026-02-05 16:29:48

Abstract

Big Data, AI and the Internet of Things demand new hardware which overcomes the limitations of von Neumann architectures. The lecture gives an insight how the fundamental physics and the resulting complex functionalities of nanodevices and circuits offer viable alternatives. Their increased computational power and energy efficiency are demonstrated through neuromorphic computing applications.

Objective

The students will gain a firm understanding in the theory and pioneering experiments of electronic and heat transport at atomic- to nanometer length-scales. Advanced device functionalities enabled by recently discovered material systems will be covered. The students will learn how to exploit such phenomena for designing nanodevices and circuits to energy-efficiently implement neuromorphic algorithms for a sustainable future of information technologies.

Resources

Lecture Notes

The presentation slides and further material will be provided every week.

General Information

Language
English
Levels
DR , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 30 minutes

Course Components

Type Title Time & Place Hours
lecture Nanodevices and Circuits for the Beyond-Moore Era
  • Wed 14:15-16:00 (GLC E 24)
2 h weekly

Offered In

      • General Electives (Students may choose General Electives from the entire course programme of ETH Zurich - with the following restrictions: courses that belong to the first or second year of a Bachelor curriculum at ETH Zurich as well as courses from GESS "Science in Perspective" are not eligible here. The following courses are explicitly recommended to physics students by their lecturers. (Courses in this list may be assigned to the category "General Electives" directly in myStudies. For the category assignment of other eligible courses keep the choice "no category" and take contact with the Study Administration ( ) after having received the credits.))
  • Doctorate Information Technology and Electrical Engineering (A minimum of 12 ECTS credit points must be obtained during doctoral studies (also see sub-categories for details) More Information at )
    • Subject Specialisation (The courses on offer below are only a small selection out of a much larger available number of courses. Please discuss your course selection with your PhD supervisor.)
  • Doctorate Physics (More Information at: )