Search result: Catalogue data in Spring Semester 2018

Micro- and Nanosystems Master Information
Core Courses
Recommended Core Courses
Devices and Systems
NumberTitleTypeECTSHoursLecturers
151-0172-00LMicrosystems II: Devices and Applications Information W6 credits3V + 3UC. Hierold, C. I. Roman
AbstractThe students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS). They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products.
ObjectiveThe students are introduced to the fundamentals and physics of microelectronic devices as well as to microsystems in general (MEMS), basic electronic circuits for sensors, RF-MEMS, chemical microsystems, BioMEMS and microfluidics, magnetic sensors and optical devices, and in particular to the concepts of Nanosystems (focus on carbon nanotubes), based on the respective state-of-research in the field. They will be able to apply this knowledge for system research and development and to assess and apply principles, concepts and methods from a broad range of technical and scientific disciplines for innovative products.

During the weekly 3 hour module on Mondays dedicated to Übungen the students will learn the basics of Comsol Multiphysics and utilize this software to simulate MEMS devices to understand their operation more deeply and optimize their designs.
ContentTransducer fundamentals and test structures
Pressure sensors and accelerometers
Resonators and gyroscopes
RF MEMS
Acoustic transducers and energy harvesters
Thermal transducers and energy harvesters
Optical and magnetic transducers
Chemical sensors and biosensors, microfluidics and bioMEMS
Nanosystem concepts
Basic electronic circuits for sensors and microsystems
Lecture notesHandouts (on-line)
227-0662-00LOrganic and Nanostructured Optics and Electronics Information
Does not take place this semester.
W6 credits4GV. Wood
AbstractThis course examines the optical and electronic properties of excitonic materials that can be leveraged to create thin-film light emitting devices and solar cells. Laboratory sessions provide students with experience in synthesis and optical characterization of nanomaterials as well as fabrication and characterization of thin film devices.
ObjectiveGain the knowledge and practical experience to begin research with organic or nanostructured materials and understand the key challenges in this rapidly emerging field.
Content0-Dimensional Excitonic Materials (organic molecules and colloidal quantum dots)

Energy Levels and Excited States (singlet and triplet states, optical absorption and luminescence).

Excitonic and Polaronic Processes (charge transport, Dexter and Förster energy transfer, and exciton diffusion).

Devices (photodetectors, solar cells, and light emitting devices).
LiteratureLecture notes and reading assignments from current literature to be posted on website.
Prerequisites / NoticeCourse grade will be based on a final project.
Energy Conversion and Quantum Phenomena
NumberTitleTypeECTSHoursLecturers
151-0060-00LThermodynamics and Energy Conversion in Micro- and Nanoscale TechnologiesW4 credits2V + 2UD. Poulikakos, H. Eghlidi, T. Schutzius
AbstractThe lecture deals with both: the thermodynamics in nano- and microscale systems and the thermodynamics of ultra-fast phenomena. Typical areas of applications are microelectronics manufacturing and cooling, laser technology, manufacturing of novel materials and coatings, surface technologies, wetting phenomena and related technologies, and micro- and nanosystems and devices.
ObjectiveThe student will acquire fundamental knowledge of micro and nanoscale interfacial thermofluidics including light interaction with surfaces. Furthermore, the student will be exposed to a host of applications ranging from superhydrophobic surfaces and microelectronics cooling to biofluidics and solar energy, all of which will be discussed in the context of the course.
ContentThermodynamic aspects of intermolecular forces, Molecular dynamics; Interfacial phenomena; Surface tension; Wettability and contact angle; Wettability of Micro/Nanoscale textured surfaces: superhydrophobicity and superhydrophilicity.

Physics of micro- and nanofluidics.

Principles of electrodynamics and optics; Optical waves at interfaces; Plasmonics: principles and applications.
Lecture notesyes
402-0468-15LNanomaterials for Photonics Information W6 credits2V + 1UR. Grange
AbstractThe lecture describes various nanomaterials (semiconductor, metal, dielectric, carbon-based...) for photonic applications (optoelectronics, plasmonics, photonic crystal...). It starts with nanophotonic concepts of light-matter interactions, then the fabrication methods, the optical characterization techniques, the description of the properties and the state-of-the-art applications.
ObjectiveThe students will acquire theoretical and experimental knowledge in the different types of nanomaterials (semiconductors, metals, dielectric, carbon-based, ...) and their uses as building blocks for advanced applications in photonics (optoelectronics, plasmonics, photonic crystal, ...). Together with the exercises, the students will learn (1) to read, summarize and discuss scientific articles related to the lecture, (2) to estimate order of magnitudes with calculations using the theory seen during the lecture, (3) to prepare a short oral presentation about one topic related to the lecture, and (4) to imagine a useful photonic device.
Content1. Introduction to Nanomaterials for photonics
a. Classification of the materials in sizes and speed...
b. General info about scattering and absorption
c. Nanophotonics concepts

2. Analogy between photons and electrons
a. Wavelength, wave equation
b. Dispersion relation
c. How to confine electrons and photons
d. Tunneling effects

3. Characterization of Nanomaterials
a. Optical microscopy: Bright and dark field, fluorescence, confocal, High resolution: PALM (STORM), STED
b. Electron microscopy : SEM, TEM
c. Scanning probe microscopy: STM, AFM
d. Near field microscopy: SNOM
e. X-ray diffraction: XRD, EDS

4. Generation of Nanomaterials
a. Top-down approach
b. Bottom-up approach

5. Plasmonics
a. What is a plasmon, Drude model
b. Surface plasmon and localized surface plasmon (sphere, rod, shell)
c. Theoretical models to calculate the radiated field: electrostatic approximation and Mie scattering
d. Fabrication of plasmonic structures: Chemical synthesis, Nanofabrication
e. Applications

6. Organic nanomaterials
a. Organic quantum-confined structure: nanomers and quantum dots.
b. Carbon nanotubes: properties, bandgap description, fabrication
c. Graphene: motivation, fabrication, devices

7. Semiconductors
a. Crystalline structure, wave function...
b. Quantum well: energy levels equation, confinement
c. Quantum wires, quantum dots
d. Optical properties related to quantum confinement
e. Example of effects: absorption, photoluminescence...
f. Solid-state-lasers : edge emitting, surface emitting, quantum cascade

8. Photonic crystals
a. Analogy photonic and electronic crystal, in nature
b. 1D, 2D, 3D photonic crystal
c. Theoretical modeling: frequency and time domain technique
d. Features: band gap, local enhancement, superprism...

9. Optofluidic
a. What is optofluidic ?
b. History of micro-nano-opto-fluidic
c. Basic properties of fluids
d. Nanoscale forces and scale law
e. Optofluidic: fabrication
f. Optofluidic: applications
g. Nanofluidics

10. Nanomarkers
a. Contrast in imaging modalities
b. Optical imaging mechanisms
c. Static versus dynamic probes
Lecture notesSlides and book chapter will be available for downloading
LiteratureReferences will be given during the lecture
Prerequisites / NoticeBasics of solid-state physics (i.e. energy bands) can help
402-0596-00LElectronic Transport in Nanostructures Information W6 credits2V + 1UT. M. Ihn
AbstractThe lecture discusses basic quantum phenomena occurring in electron transport through nanostructures: Drude theory, Landauer-Buttiker theory, conductance quantization, Aharonov-Bohm effect, weak localization/antilocalization, shot noise, integer and fractional quantum Hall effects, tunneling transport, Coulomb blockade, coherent manipulation of charge- and spin-qubits.
Objective
Lecture notesThe lecture is based on the book:
T. Ihn, Semiconductor Nanostructures: Quantum States and Electronic Transport, ISBN 978-0-19-953442-5, Oxford University Press, 2010.
Prerequisites / NoticeA solid basis in quantum mechanics, electrostatics, quantum statistics and in solid state physics is required.

Students of the Master in Micro- and Nanosystems should at least have attended the lecture by David Norris, Introduction to quantum mechanics for engineers. They should also have passed the exam of the lecture Semiconductor Nanostructures.
529-0431-00LPhysical Chemistry III: Molecular Quantum Mechanics Restricted registration - show details W4 credits4GB. H. Meier, M. Ernst
AbstractPostulates of quantum mechanics, operator algebra, Schrödinger's equation, state functions and expectation values, matrix representation of operators, particle in a box, tunneling, harmonic oscillator, molecular vibrations, angular momentum and spin, generalised Pauli principle, perturbation theory, electronic structure of atoms and molecules, Born-Oppenheimer approximation.
ObjectiveThis is an introductory course in quantum mechanics. The course starts with an overview of the fundamental concepts of quantum mechanics and introduces the mathematical formalism. The postulates and theorems of quantum mechanics are discussed in the context of experimental and numerical determination of physical quantities. The course develops the tools necessary for the understanding and calculation of elementary quantum phenomena in atoms and molecules.
ContentPostulates and theorems of quantum mechanics: operator algebra, Schrödinger's equation, state functions and expectation values. Linear motions: free particles, particle in a box, quantum mechanical tunneling, the harmonic oscillator and molecular vibrations. Angular momentum: electronic spin and orbital motion, molecular rotations. Electronic structure of atoms and molecules: the Pauli principle, angular momentum coupling, the Born-Oppenheimer approximation. Variational principle and perturbation theory. Discussion of bigger systems (solids, nano-structures).
Lecture notesA script written in German will be distributed. The script is, however, no replacement for personal notes during the lecture and does not cover all aspects discussed.
Material, Surfaces and Properties
NumberTitleTypeECTSHoursLecturers
151-0902-00LMicro- and Nanoparticle TechnologyW6 credits2V + 2US. E. Pratsinis, K. Wegner, M. Eggersdorfer
AbstractIntroduction to fundamentals of micro- and nanoparticle synthesis and processing. Characterization of suspensions, sampling and measuring techniques; basics of gas-solid and liquid-solid systems; fragmentation, coagulation, growth, separation, fluidization, filtration, mixing, transport, coatings. Particle processing in manufacture of catalysts, sensors, nanocomposites and chemical commodities.
ObjectiveIntroduction to design methods of mechanical processes, scale-up laws and optimal use of materials and energy
ContentCharacterisation of particle suspensions and corresponding measuring techniques; basic laws of gas / solids resp. Liquid / solids systems; unit operations of mechanical processing:
desintegration, agglomeration, screening, air classifying, sedimentation, filtration, particle separation from gas streams, mixing, pneumatic conveying. Synthesis of unit operations to process systems in chemical industry, cement industry etc.
Lecture notesMechanical Process Engineering I
Modelling and Simulation
NumberTitleTypeECTSHoursLecturers
401-3632-00LComputational StatisticsW10 credits3V + 2UM. H. Maathuis
AbstractComputational Statistics deals with modern statistical methods of data analysis (aka "data science") for prediction and inference. The course provides an overview of existing methods. The course is hands-on, and methods are applied using the statistical programming language R.
ObjectiveIn this class, the student obtains an overview of modern statistical methods for data analysis, including their algorithmic aspects and theoretical properties. The methods are applied using the statistical programming language R.
ContentSee the class website
Prerequisites / NoticeAt least one semester of (basic) probability and statistics.

Programming experience is helpful but not required.
151-0116-10LHigh Performance Computing for Science and Engineering (HPCSE) for Engineers II Information W4 credits4GP. Koumoutsakos, P. Chatzidoukas
AbstractThis course focuses on programming methods and tools for parallel computing on multi and many-core architectures. Emphasis will be placed on practical and computational aspects of Uncertainty Quantification and Propagation including the implementation of relevant algorithms on HPC architectures.
ObjectiveThe course will teach
- programming models and tools for multi and many-core architectures
- fundamental concepts of Uncertainty Quantification and Propagation (UQ+P) for computational models of systems in Engineering and Life Sciences
ContentHigh Performance Computing:
- Advanced topics in shared-memory programming
- Advanced topics in MPI
- GPU architectures and CUDA programming

Uncertainty Quantification:
- Uncertainty quantification under parametric and non-parametric modeling uncertainty
- Bayesian inference with model class assessment
- Markov Chain Monte Carlo simulation
Lecture noteshttp://www.cse-lab.ethz.ch/index.php/teaching/42-teaching/classes/704-hpcse2
Class notes, handouts
Literature- Class notes
- Introduction to High Performance Computing for Scientists and Engineers, G. Hager and G. Wellein
- CUDA by example, J. Sanders and E. Kandrot
- Data Analysis: A Bayesian Tutorial, Devinderjit Sivia
Laboratory Course
NumberTitleTypeECTSHoursLecturers
151-0620-00LEmbedded MEMS LabW5 credits3PC. Hierold, S. Blunier, M. Haluska
AbstractPractical course: Students are introduced to the process steps required for the fabrication of MEMS (Micro Electro Mechanical System) and carry out the fabrication and testing steps in the clean rooms themselves. Additionally, they learn the requirements for working in clean rooms. Processing and characterization will be documented and analyzed in a final report.
ObjectiveStudents learn the individual process steps that are required to make a MEMS (Micro Electro Mechanical System). Students carry out the process steps themselves in laboratories and clean rooms. Furthermore, participants become familiar with the special requirements (cleanliness, safety, operation of equipment and handling hazardous chemicals) of working in the clean rooms and laboratories. The entire production, processing, and characterization of the MEMS is documented and evaluated in a final report.
ContentWith guidance from a tutor, the individual silicon microsystem process steps that are required for the fabrication of an accelerometer are carried out:
- Photolithography, dry etching, wet etching, sacrificial layer etching, various cleaning procedures
- Packaging and electrical connection of a MEMS device
- Testing and characterization of the MEMS device
- Written documentation and evaluation of the entire production, processing and characterization
Lecture notesA document containing theory, background and practical course content is distributed in the informational meeting.
LiteratureThe document provides sufficient information for the participants to successfully participate in the course.
Prerequisites / NoticeParticipating students are required to attend all scheduled lectures and meetings of the course.

Participating students are required to provide proof that they have personal accident insurance prior to the start of the laboratory portion of the course.

This master's level course is limited to 15 students per semester for safety and efficiency reasons.
If there are more than 15 students registered, we regret to restrict access to this course by the following rules:

Priority 1: master students of the master's program in "Micro and Nanosystems"

Priority 2: master students of the master's program in "Mechanical Engineering" with a specialization in Microsystems and Nanoscale Engineering (MAVT-tutors Profs Dual, Hierold, Koumoutsakos, Nelson, Norris, Park, Poulikakos, Pratsinis, Stemmer), who attended the bachelor course "151-0621-00L Microsystems Technology" successfully.

Priority 3: master students, who attended the bachelor course "151-0621-00L Microsystems Technology" successfully.

Priority 4: all other students (PhD, bachelor, master) with a background in silicon or microsystems process technology.

If there are more students in one of these priority groups than places available, we will decide (in following order) best achieved grade from 151-0621-00L Microsystems Technology, registration to this practicum at previous semester, and by drawing lots.
Students will be notified at the first lecture of the course (introductory lecture) as to whether they are able to participate.

The course is offered in autumn and spring semester.
Elective Core Courses
NumberTitleTypeECTSHoursLecturers
151-0211-00LConvective Heat Transport
Does not take place this semester.
W5 credits4GH. G. Park
AbstractThis course will teach the field of heat transfer by convection. This heat transport process is intimately tied to fluid dynamics and mathematics, meaning that solid background in these disciplines are necessary. Convection has direct implications in various industries, e.g. microfabrication, microfluidics, microelectronics cooling, thermal shields protection for space shuttles.
ObjectiveAdvanced introduction to the field of heat transfer by convection.
ContentThe course covers the following topics:
1. Introduction: Fundamentals and Conservation Equations 2. Laminar Fully Developed Velocity and Temperature Fields 3. Laminar Thermally Developing Flows 4. Laminar Hydrodynamic Boundary Layers 5. Laminar Thermal Boundary Layers 6. Laminar Thermal Boundary Layers with Viscous Dissipation 7. Turbulent Flows 8. Natural Convection.
Lecture notesLecture notes will be delivered in class via note-taking. Textbook serves as a great source of the lecture notes.
LiteratureText:
(Main) Kays and Crawford, Convective Heat and Mass Transfer, McGraw-Hill, Inc.
(Secondary) A. Bejan, Convection Heat Transfer
References:
Incropera and De Witt, Fundamentals of Heat and Mass Transfer, or Introduction to Heat Transfer Kundu and Cohen, Fluid Mechanics, Academic Press V. Arpaci, Convection Heat Transfer
151-0361-00LAn Introduction to the Finite-Element MethodW4 credits3GG. Kress, C. Thurnherr
AbstractThe class includes mathematical ancillary concepts, derivation of element equations, numerical integration, boundary conditions and degree-of-freedom coupling, compilation of the system’s equations, element technology, solution methods, static and eigenvalue problems, iterative solution of progressing damage, beam-locking effect, modeling techniques, implementation of nonlinear solution methods.
ObjectiveObtain a theoretical background of the finite-element method.
Understand techniques for finding numerically more efficient finite elements. Understand degree-of-freedom coupling schemes and recall typical equations solution algorithms for static and eigenvalue problems. Learn how to map specific mechanical situations correctly to finite-element models. Understand how to make best use of FEM for structural analysis. Obtain a first inside into the implementation of nonlinear FEM procedures.
Content1. Introduction, direct element derivation of truss element
2. Variational methods and truss element revisited
3. Variational methods and derivation of planar finite elements
4. Curvilinear finite elements and numerical integration
5. Element Technology
6. Degrees-of-freedom coupling and solution methods
7. Iterative solution methods for damage progression analysis
8. Shear-rigid and shear compliant beam elements and locking effect
9. Beam Elements and Locking Effect
10. Harmonic vibrations and vector iteration
11. Modeling techniques
12. Implementation of nonlinear FEM procedures
Lecture notesScript and handouts are provided in class and can also be down-loaded from:
Link
LiteratureNo textbooks required.
151-0534-00LAdvanced DynamicsW4 credits3V + 1UP. Tiso
AbstractLagrangian dynamics - Principle of virtual work and virtual power - holonomic and non holonomic contraints - 3D rigid body dynamics - equilibrium - linearization - stability - vibrations - frequency response
ObjectiveThis course provides the students of mechanical engineering with fundamental analytical mechanics for the study of complex mechanical systems .We introduce the powerful techniques of principle of virtual work and virtual power to systematically write the equation of motion of arbitrary systems subjected to holonomic and non-holonomic constraints. The linearisation around equilibrium states is then presented, together with the concept of linearised stability. Linearized models allow the study of small amplitude vibrations for unforced and forced systems. For this, we introduce the concept of vibration modes and frequencies, modal superposition and modal truncation. The case of the vibration of light damped systems is discussed. The kinematics and dynamics of 3D rigid bodies is also extensively treated.
Lecture notesLecture notes are produced in class and are downloadable right after each lecture.
LiteratureThe students will prepare their own notes. A copy of the lecture notes will be available.
Prerequisites / NoticeMechanics III or equivalent; Analysis I-II, or equivalent; Linear Algebra I-II, or equivalent.
151-0622-00LMeasuring on the Nanometer ScaleW2 credits2GA. Stemmer, T. Wagner
AbstractIntroduction to theory and practical application of measuring techniques suitable for the nano domain.
ObjectiveIntroduction to theory and practical application of measuring techniques suitable for the nano domain.
ContentConventional techniques to analyze nano structures using photons and electrons: light microscopy with dark field and differential interference contrast; scanning electron microscopy, transmission electron microscopy. Interferometric and other techniques to measure distances. Optical traps. Foundations of scanning probe microscopy: tunneling, atomic force, optical near-field. Interactions between specimen and probe. Current trends, including spectroscopy of material parameters.
Lecture notesClass notes and special papers will be distributed.
151-0630-00LNanorobotics Information W4 credits2V + 1US. Pané Vidal
AbstractNanorobotics is an interdisciplinary field that includes topics from nanotechnology and robotics. The aim of this course is to expose students to the fundamental and essential aspects of this emerging field.
ObjectiveThe aim of this course is to expose students to the fundamental and essential aspects of this emerging field. These topics include basic principles of nanorobotics, building parts for nanorobotic systems, powering and locomotion of nanorobots, manipulation, assembly and sensing using nanorobots, molecular motors, and nanorobotics for nanomedicine.
151-0642-00LSeminar on Micro and NanosystemsZ0 credits1SC. Hierold
AbstractScientific presentations from the field of Micro- and Nanosystems
ObjectiveThe students will be informed about the latest news from the state-of-the-art in the field and will take the opportunity to start scientific and challenging discussions with the presenters.
ContentSelected and hot topics from Micro- and Nanosystems, progress reports from PhD projects.
151-0735-00LDynamic Behavior of Materials and Structures
Does not take place this semester.
W4 credits2V + 2UD. Mohr
AbstractLectures and computer labs concerned with the modeling of the deformation response and failure of engineering materials (metals, polymers and composites) subject to extreme loadings during manufacturing, crash, impact and blast events.
ObjectiveStudents will learn to apply, understand and develop computational models of a large spectrum of engineering materials to predict their dynamic deformation response and failure in finite element simulations. Students will become familiar with important dynamic testing techniques to identify material model parameters from experiments. The ultimate goal is to provide the students with the knowledge and skills required to engineer modern multi-material solutions for high performance structures in automotive, aerospace and navel engineering.
ContentTopics include viscoelasticity, temperature and rate dependent plasticity, dynamic brittle and ductile fracture; impulse transfer, impact and wave propagation in solids; computational aspects of material model implementation into hydrocodes; simulation of dynamic failure of structures;
Lecture notesSlides of the lectures, relevant journal papers and users manuals will be provided.
LiteratureVarious books will be recommended covering the topics discussed in class
Prerequisites / NoticeCourse in continuum mechanics (mandatory), finite element method (recommended)
151-0966-00LIntroduction to Quantum Mechanics for EngineersW4 credits2V + 2UD. J. Norris
AbstractThis course provides fundamental knowledge in the principles of quantum mechanics and connects it to applications in engineering.
ObjectiveTo work effectively in many areas of modern engineering, such as renewable energy and nanotechnology, students must possess a basic understanding of quantum mechanics. The aim of this course is to provide this knowledge while making connections to applications of relevancy to engineers. After completing this course, students will understand the basic postulates of quantum mechanics and be able to apply mathematical methods for solving various problems including atoms, molecules, and solids. Additional examples from engineering disciplines will also be integrated.
ContentFundamentals of Quantum Mechanics
- Historical Perspective
- Schrödinger Equation
- Postulates of Quantum Mechanics
- Operators
- Harmonic Oscillator
- Hydrogen atom
- Multielectron Atoms
- Crystalline Systems
- Spectroscopy
- Approximation Methods
- Applications in Engineering
Lecture notesClass Notes and Handouts
LiteratureText: David J. Griffiths, Introduction to Quantum Mechanics, 2nd Edition, Pearson International Edition.
Prerequisites / NoticeAnalysis III, Mechanics III, Physics I, Linear Algebra II
227-0158-00LSemiconductor Devices: Transport Theory and Monte Carlo Simulation Information
Does not take place this semester.
W4 credits2V + 1U
AbstractThe first part deals with semiconductor transport theory including the necessary quantum mechanics.
In the second part, the Boltzmann equation is solved with the stochastic methods of Monte Carlo simulation.
The exercises address also TCAD simulations of MOSFETs. Thus the topics include theoretical physics,
numerics and practical applications.
ObjectiveOn the one hand, the link between microscopic physics and its concrete application in device simulation is established; on the other hand, emphasis is also laid on the presentation of the numerical techniques involved.
ContentQuantum theoretical foundations I (state vectors, Schroedinger and Heisenberg picture). Band structure (Bloch theorem, one dimensional periodic potential, density of states). Pseudopotential theory (crystal symmetries, reciprocal lattice, Brillouin zone).
Semiclassical transport theory (Boltzmann transport equation (BTE), scattering processes, linear transport).<br>
Monte Carlo method (Monte Carlo simulation as solution method of the BTE, algorithm, expectation values).<br>
Implementational aspects of the Monte Carlo algorithm (discretization of the Brillouin zone, self-scattering according to Rees, acceptance- rejection method etc.). Bulk Monte Carlo simulation (velocity-field characteristics, particle generation, energy distributions, transport parameters). Monte Carlo device simulation (ohmic boundary conditions, MOSFET simulation).
Quantum theoretical foundations II (limits of semiclassical transport theory, quantum mechanical derivation of the BTE, Markov-Limes).
Lecture notesLecture notes (in German)
227-0159-00LSemiconductor Devices: Quantum Transport at the Nanoscale Information W6 credits2V + 2UM. Luisier, A. Emboras
AbstractThis class offers an introduction into quantum transport theory, a rigorous approach to electron transport at the nanoscale. It covers different topics such as bandstructure, Wave Function and Non-equilibrium Green's Function formalisms, and electron interactions with their environment. Matlab exercises accompany the lectures where students learn how to develop their own transport simulator.
ObjectiveThe continuous scaling of electronic devices has given rise to structures whose dimensions do not exceed a few atomic layers. At this size, electrons do not behave as particle any more, but as propagating waves and the classical representation of electron transport as the sum of drift-diffusion processes fails. The purpose of this class is to explore and understand the displacement of electrons through nanoscale device structures based on state-of-the-art quantum transport methods and to get familiar with the underlying equations by developing his own nanoelectronic device simulator.
ContentThe following topics will be addressed:
- Introduction to quantum transport modeling
- Bandstructure representation and effective mass approximation
- Open vs closed boundary conditions to the Schrödinger equation
- Comparison of the Wave Function and Non-equilibrium Green's Function formalisms as solution to the Schrödinger equation
- Self-consistent Schödinger-Poisson simulations
- Quantum transport simulations of resonant tunneling diodes and quantum well nano-transistors
- Top-of-the-barrier simulation approach to nano-transistor
- Electron interactions with their environment (phonon, roughness, impurity,...)
- Multi-band transport models
Lecture notesLecture slides are distributed every week and can be found at
https://iis-students.ee.ethz.ch/lectures/quantum-transport-in-nanoscale-devices/
LiteratureRecommended textbook: "Electronic Transport in Mesoscopic Systems", Supriyo Datta, Cambridge Studies in Semiconductor Physics and Microelectronic Engineering, 1997
Prerequisites / NoticeBasic knowledge of semiconductor device physics and quantum mechanics
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