Ivan Shorubalko: Katalogdaten im Herbstsemester 2024

NameHerr Dr. Ivan Shorubalko
Adresse
EMPA
Überlandstrasse129
Transport at Nanoscale Interfaces
8600 Dübendorf
SWITZERLAND
Telefon058 765 4874
E-Mailishorubalko@ethz.ch
DepartementInformationstechnologie und Elektrotechnik
BeziehungDozent

NummerTitelECTSUmfangDozierende
227-0377-10LPhysics of Failure and Reliability of Electronic Devices and Systems3 KP2VI. Shorubalko, M. Held
KurzbeschreibungUnderstanding the physics of failures and failure mechanisms enables reliability analysis and serves as a practical guide for electronic devices design, integration, systems development and manufacturing. The field gains additional importance in the context of managing safety, sustainability and environmental impact for continuously increasing complexity and scaling-down trends in electronics.
LernzielProvide an understanding of the physics of failure and reliability. Introduce the degradation and failure mechanisms, basics of failure analysis, methods and tools of reliability testing.
InhaltSummary of reliability and failure analysis terminology; physics of failure: materials properties, physical processes and failure mechanisms; failure analysis; basics and properties of instruments; quality assurance of technical systems (introduction); introduction to stochastic processes; reliability analysis; component selection and qualification; maintainability analysis (introduction); design rules for reliability, maintainability, reliability tests (introduction).
SkriptComprehensive copy of transparencies
LiteraturReliability Engineering: Theory and Practice, 8th Edition, Springer 2017, DOI 10.1007/978-3-662-54209-5
Reliability Engineering: Theory and Practice, 8th Edition (2017), DOI 10.1007/978-3-662-54209-5
227-0671-00LNanodevices and Circuits for the Beyond-Moore Era3 KP2VM. Csontos, I. Shorubalko
KurzbeschreibungBig 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.
LernzielThe 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.
SkriptThe presentation slides and further material will be provided every week.
Voraussetzungen / BesonderesBasic knowledge of solid state physics and semiconductors.
KompetenzenKompetenzen
Fachspezifische KompetenzenKonzepte und Theoriengeprüft
Verfahren und Technologiengeprüft
Methodenspezifische KompetenzenAnalytische Kompetenzengefördert
Problemlösunggefördert
Soziale KompetenzenKommunikationgefördert
Persönliche KompetenzenKritisches Denkengefördert