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Molecular Nanoelectronics
Course description sheet

Basic information

Field of study
AGH UST International Courses
Major
All
Organisational unit
AGH University Database of Electives
Study level
University database of electives
Form of study
Full-time studies
Profile
General academic
Didactic cycle
2024/2025
Course code
UBPOJOS.A200000.06548.24
Lecture languages
English
Mandatoriness
Obligatory
Block
General Modules
Course related to scientific research
Yes
USOS code
693-INT-xS-113
Course coordinator
Konrad Szaciłowski
Lecturer
Konrad Szaciłowski
Period
Summer semester
Method of verification of the learning outcomes
Exam
Activities and hours
Lectures: 15
Number of ECTS credits
2

Goals

C1 Zapoznanie studentów z podstawowymi zagadnieniami nanoelektroniki oraz elektroniki molekularnej
C2 Przekazanie wiedzy z zakresu chemii półprzewodników i polimerów przewodzących, szczególnie w kontekście zjawisk związanych z przetwarzaniem informacji
C3 Uświadomienie słuchaczom problemów związanych z funtamentalnymi i technologicznymi ograniczeniami mikroelektorniki

Course's learning outcomes

Code Outcomes in terms of Learning outcomes prescribed to a field of study Methods of verification
Knowledge – Student knows and understands:
W1 Studnet zna podstawowe właściwości materiałów półprzewodnikowych i polimerów przewodzących Activity during classes
W2 Znajomość podstaw nanoelektroniki molekularnej Examination
W3 Podstawowa znajomość teorii pasmowej ciała stałego oraz fizykochemii półprzewodników Examination
Social competences – Student is ready to:
K1 Umiejętność rozwiązywania problemów w grupie Activity during classes

Student workload

Activity form Average amount of hours* needed to complete each activity form
Lectures 15
Preparation for classes 15
Realization of independently performed tasks 30
Student workload
Hours
60
Workload involving teacher
Hours
15

* hour means 45 minutes

Program content

No. Program content Course's learning outcomes Activities
1. Molecular nanoelectronics: The course consists of three parts. The first part deals with basic principles of classical electronics: construction and operational properties of basic active components (diodes, bipolar transistors, FET transistors), structure and fabrication technology of monolithic integrated circuits. Technological and physical limits of classical electronic semiconducting devices are also included in this part.
The second part is mostly devoted to synthesis, properties and electronic structure of molecular precursors used in molecular electronics (fullerenes, porphyrins, phthalocyanines, policenes, tetrathiafulvalenes and carbon nanotubes). Properties critical for applications of these materials in electronics are especially emphasized.
The third part of the course discusses techniques used for fabrication and investigation of nqnoelectronic structures using single molecules and thin layers. Organic field effect transistors (OFET), organic photovoltaic systems and molecular optoelectronic switches are described in detail.
W1, W2, W3, K1 Lectures

Extended information/Additional elements

Teaching methods and techniques :

Group work, Discussion, Lectures

Activities Methods of verification Credit conditions
Lectures Activity during classes, Examination

Prerequisites and additional requirements

Basic knowledge of chemistry and physics 

Rules of participation in given classes, indicating whether student presence at the lecture is obligatory

Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego.

Literature

Obligatory
  1. Infochemistry: Information Processing at the Nanoscale Konrad Szacilowski ISBN: 978-0-470-71072-2
Optional
  1. Biomolecular Information Processing: From Logic Systems to Smart Sensors and Actuators Evgeny Katz ISBN:9783527332281

Scientific research and publications

Research
  1. Nanostrukturalne układy neuromimetyczne
Publications
  1. Towards synthetic neural networks: can artificial electrochemical neurons be coupled with artificial memristive synapses?, E. Wlaźlak, D. Przyczyna, R. Gutierrez, G. Cuniberti, K. Szaciłowski Jpn. J. Appl. Phys.59 SI0801 (2020), https://doi.org/10.35848/1347-4065/ab7e11 In-materio neuromimetic devices: dynamics, information processing and pattern recognition, D. Przyczyna, P. Zawal, T. Mazur, M. Strzelecki, P. Luigi Gentili, and K. Szaciłowski, Japanese Journal of Applied Physics 59, 050504 (2020), https://doi.org/10.35848/1347-4065/ab82b0 Memristor in a Reservoir System - Experimental Evidence for High-Level Computing and Neuromorphic Behavior of PbI2, E. Wlaźlak, M. Marzec, P. Zawal, and K. Szaciłowski, ACS Appl. Mater. Interfaces 11, 17009−17018 (2019), https://doi.org/10.1021/acsami.9b01841 Synaptic plasticity, metaplasticity and memory effects in hybrid organic–inorganic bismuth-based materials, Tomasz Mazur, Piotr Zawal, Konrad Szaciłowski, Nanoscale 11, 1080-1090 (2019), https://doi.org/10.1039/c8nr09413f Halogen-containing semiconductors: From artificial photosynthesis tounconventional computing, S. Klejna, T. Mazur, E. Wlaźlak, P. Zawal, Han Sen Soo, K. Szaciłowski Coordination Chemistry Reviews 415, 213316 (2020), https://doi.org/10.1016/j.ccr.2020.213316