Search result: Catalogue data in Spring Semester 2023
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| Number | Title | Type | ECTS | Hours | Lecturers | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0170-00L | Computational Multiphase Thermal Fluid Dynamics | W | 4 credits | 2V + 1U | F. Coletti, A. Dehbi, Y. Sato | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course deals with fundamentals of the application of Computational Fluid Dynamics to gas-liquid flows as well as particle laden gas flows including aerosols. The course will present the current state of art in the field. Challenging examples, mainly from the fluid-machinery and plant, are discussed in detail. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Fundamentals of 3D multiphase flows (Definitions, Averages, Flow regimes), mathematical models (two-fluid model, Euler-Euler and Euler-Lagrange techniques), modeling of dispersed bubble flows (inter-phase forces, population balance and multi-bubble size class models), turbulence modeling, stratified and free-surface flows (interface tracking techniques such as VOF, level-sets and variants, modeling of surface tension), particulate and aerosol flows, particle tracking, one and two way coupling, random walk techniques to couple particle tracking with turbulence models, numerical methods and tools, industrial applications. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0206-00L | Energy Systems and Power Engineering | W | 4 credits | 2V + 2U | R. S. Abhari, A. Steinfeld | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Introductory first course for the specialization in ENERGY. The course provides an overall view of the energy field and pertinent global problems, reviews some of the thermodynamic basics in energy conversion, and presents the state-of-the-art technology for power generation and fuel processing. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | World primary energy resources and use: fossil fuels, renewable energies, nuclear energy; present situation, trends, and future developments. Sustainable energy system and environmental impact of energy conversion and use: energy, economy and society. Electric power and the electricity economy worldwide and in Switzerland; production, consumption, alternatives. The electric power distribution system. Renewable energy and power: available techniques and their potential. Cost of electricity. Conventional power plants and their cycles; state-of-the-art and advanced cycles. Combined cycles and cogeneration; environmental benefits. Solar thermal; concentrated solar power; solar photovoltaics. Fuel cells: characteristics, fuel reforming and combined cycles. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Vorlesungsunterlagen werden verteilt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0207-00L | Theory and Modeling of Reactive Flows | W | 4 credits | 3G | C. E. Frouzakis, I. Mantzaras | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course first reviews the governing equations and combustion chemistry, setting the ground for the analysis of homogeneous gas-phase mixtures, laminar diffusion and premixed flames. Catalytic combustion and its coupling with homogeneous combustion are dealt in detail, and turbulent combustion modeling approaches are presented. Available numerical codes will be used for modeling. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Theory of combustion with numerical applications | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The analysis of realistic reactive flow systems necessitates the use of detailed computer models that can be constructed starting from first principles i.e. thermodynamics, fluid mechanics, chemical kinetics, and heat and mass transport. In this course, the focus will be on combustion theory and modeling. The reacting flow governing equations and the combustion chemistry are firstly reviewed, setting the ground for the analysis of homogeneous gas-phase mixtures, laminar diffusion and premixed flames. Heterogeneous (catalytic) combustion, an area of increased importance in the last years, will be dealt in detail along with its coupling with homogeneous combustion. Finally, approaches for the modeling of turbulent combustion will be presented. Available numerical codes will be used to compute the above described phenomena. Familiarity with numerical methods for the solution of partial differential equations is expected. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | NEW course | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0208-00L | Computational Methods for Flow, Heat and Mass Transfer Problems | W | 4 credits | 4G | D. W. Meyer-Massetti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Numerical methods for the solution of flow, heat & mass transfer problems are presented and illustrated by analytical & computer exercises. The course is taught using the flipped classroom format. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Knowledge of and practical experience with discretization and solution methods for computational fluid dynamics and heat and mass transfer problems | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Introduction with application examples, steps to a numerical solution - Classification of PDEs, application examples - Finite differences - Finite volumes - Method of weighted residuals, spectral methods, finite elements - Boundary integral method - Stability analysis, consistency, convergence - Numerical solution methods, linear solvers The learning materials are illustrated with practical examples. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Slides and lecture notes will be handed out. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | References are provided during the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic knowledge in fluid dynamics, thermodynamics and programming (lecture: "Models, Algorithms and Data: Introduction to Computing") | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0224-00L | Fuel Synthesis Engineering | W | 4 credits | 3V | B. Bulfin, A. Lidor | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will include a revision of chemical engineering fundamentals and the basics of processes modelling for fuel synthesis technologies. Using this as a background we will then study a range of fuel production technologies, including established fossil fuel processing and emerging renewable fuel production processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | 1) Develop an understanding of the fundamentals of chemical process engineering, including chemical thermodynamics, reaction kinetics, and chemical reaction engineering. 2) Learn to perform basic process modelling using some computational methods in order to analyze fuel production processes. 3) Using the fundamentals as a background, we will study a number of different fuel production processes, both conventional and emerging technologies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Theory: Chemical equilibrium thermodynamics, reaction kinetics, and chemical reaction engineering. Processes modelling: An introduction to using cantera to model chemical processes. This part of the course includes an optional project, where the student will perform a basic analysis of a natural gas to methanol conversion process. Fuel synthesis topics: Conventional fuel production including oil refinery, upgrading of coal and natural gas, and biofuel. Emerging renewable fuel technologies including the conversion of renewable electricity to fuels via electrolysis, the conversion of heat to fuels via thermochemical cycles, and some other speculative fuel production processes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Will be available electronically. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | A) Physical Chemistry, 3rd edition, A. Alberty and J. Silbey, 2001 B) Chemical Reaction Engineering, 3rd Edition, Octave Levenspiel, 1999 C) Fundamentals of industrial catalytic processes, C. H. Bartholomew, R. J. Farrauto, 2011; | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Some previous studies in chemistry and chemical engineering are recommended, but not absolutely necessary. Experience with either Python or Matlab is also recommended. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0280-00L | Advanced Techniques for the Risk Analysis of Technical Systems | W | 4 credits | 2V + 1U | G. Sansavini, B. Gjorgiev | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course provides advanced tools for the risk/vulnerability analysis and engineering of complex technical systems and critical infrastructures. It covers application of modeling techniques and design management concepts for strengthening the performance and robustness of such systems, with reference to energy, communication and transportation systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students will be able to model complex technical systems and critical infrastructures including their dependencies and interdependencies. They will learn how to select and apply appropriate numerical techniques to quantify the technical risk and vulnerability in different contexts (Monte Carlo simulation, Markov chains, complex network theory). Students will be able to evaluate which method for quantification and propagation of the uncertainty of the vulnerability is more appropriate for various complex technical systems. At the end of the course, they will be able to propose design improvements and protection/mitigation strategies to reduce risks and vulnerabilities of these systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Modern technical systems and critical infrastructures are complex, highly integrated and interdependent. Examples of these are highly integrated energy supply, energy supply with high penetrations of renewable energy sources, communication, transport, and other physically networked critical infrastructures that provide vital social services. As a result, standard risk-assessment tools are insufficient in evaluating the levels of vulnerability, reliability, and risk. This course offers suitable analytical models and computational methods to tackle this issue with scientific accuracy. Students will develop competencies which are typically requested for the formation of experts in reliability design, safety and protection of complex technical systems and critical infrastructures. Specific topics include: - Introduction to complex technical systems and critical infrastructures - Basics of the Markov approach to system modeling for reliability and availability analysis - Monte Carlo simulation for reliability and availability analysis - Markov Chain Monte Carlo for applications to reliability and availability analysis - Dependent, common cause and cascading failures - Complex network theory for the vulnerability analysis of complex technical systems and critical infrastructures - Basic concepts of uncertainty and sensitivity analysis in support to the analysis of the reliability and risk of complex systems under incomplete knowledge of their behavior Practical exercitations and computational problems will be carried out and solved both during classroom tutorials and as homework. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Slides and other materials will be available online | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | The class will be largely based on the books: - "Computational Methods For Reliability And Risk Analysis" by E. Zio, World Scientific Publishing Company - "Vulnerable Systems" by W. Kröger and E. Zio, Springer - additional recommendations for text books will be covered in the class | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Fundamentals of Probability | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0234-00L | Electrochemical Energy Systems | W | 4 credits | 4G | M. Lukatskaya | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will discuss working principles of electrochemical energy systems, with focus on energy storage devices and touching on energy conversion systems. It will provide detailed introduction into the fundamentals of the related electrochemical processes and key electrochemical characterization methods. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The goal of this course is that students understand fundamental principles and theory behind electrochemical processes, analyse current scientific literature and explain real electrochemical data. Key objectives of this course are: 1. Explain working principle of electrochemical energy storage systems 2. Claculate theoretical capabilities of the energy storage systems 3. Explain discrepancies between theoretical and real-world performance of energy storage systems 4. Understand and explain principles of analytical electrochemical methods 5. Analyze and explain relevant seminal and modern research literature | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0926-00L | Separation Process Technology Note: The previous course title until FS22 "Separation Process Technology I". | W | 4 credits | 4G | A. Bardow, M. Mazzotti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course provides the tools to design separation processes for ideal and non-ideal systems, based on vapor-liquid and liquid-liquid phase equilibria and mass transfer phenomena. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | At the end of this course, the students will be able to: - summarize the thermodynamic basis of equilibrium-based separation processes; - apply thermodynamic principles to distillation, absorption, and extraction processes; - design different technologies for vapor-liquid and liquid-liquid separations; - solve separation tasks involving ideal and non-ideal systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Methods for the non-empirical design of equilibrium stage separations for ideal and non-ideal systems, based on mass transfer phenomena and phase equilibrium. Topics: introduction to separation process technologies. Phase equilibria: vapor/liquid and liquid/liquid. Flash vaporization: binary and multicomponent. Equilibrium stages and multistage cascades. Continuous distillation: design methods for binary and multicomponent systems, column and equipment design, azeotropic distillation. Gas absorption and stripping. Liquid/liquid extraction. Co-current, counter-current, and cross-current operations. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides and supplementary documentation will be available online. Reference to appropriate book chapters and scientific papers will be provided | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Treybal "Mass-transfer operations" Seader/Henley "Separation process principles" Wankat "Equilibrium stage separations" Weiss/Militzer/Gramlich "Thermische Verfahrenstechnik" | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Prerequisite: Thermodynamics Recommended: Mass Transfer, Introduction to Process Engineering All the material and the announcements will be available on Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0928-00L | CO2 Capture and Storage and the Industry of Carbon-Based Resources | W | 4 credits | 3G | A. Bardow, V. Becattini, N. Gruber, M. Mazzotti, M. Repmann, T. Schmidt, D. Sutter | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course introduces the fundamentals of carbon capture, utilization, and storage and related interdependencies between technosphere, ecosphere, and sociosphere. Topics covered: origin, production, processing, and economics of carbon-based resources; climate change in science & policies; CC(U)S systems; CO2 transport & storage; life-cycle assessment; net-zero emissions; CO2 removal options. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The lecture aims to introduce carbon dioxide capture, utilization, and storage (CCUS) systems, the technical solutions developed so far, and current research questions. This is done in the context of the origin, production, processing, and economics of carbon-based resources and of climate change issues. After this course, students are familiar with relevant technical and non-technical issues related to using carbon resources, climate change, and CCUS as a mitigation measure. The class will be structured in 2 hours of lecture and one hour of exercises/discussion. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The transition to a net-zero society is associated with major challenges in all sectors, including energy, transportation, and industry. In the IPCC Special Report on Global Warming of 1.5 °C, rapid emission reduction and negative emission technologies are crucial to limiting global warming to below 1.5 °C. Therefore, this course illuminates carbon capture, utilization, and storage as a potential set of technologies for emission mitigation and for generating negative emissions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides and supplementary documents will be available online. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | IPCC Special Report on Global Warming of 1.5°C, 2018. http://www.ipcc.ch/report/sr15/ IPCC AR5 Climate Change 2014: Synthesis Report, 2014. https://www.ipcc.ch/report/ar5/syr/ IPCC AR6 Climate Change 2022: Mitigation of Climate Change, 2022. https://www.ipcc.ch/report/sixth-assessment-report-working-group-3/ Global Status of CCS 2020. Published by the Global CCS Institute, 2020. Link | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | External lecturers from the industry and other institutes will contribute with specialized lectures according to the schedule distributed at the beginning of the semester. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0931-00L | Seminar on Particle Technology | Z | 0 credits | 3S | S. E. Pratsinis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The latest advances in particle technology are highlighted focusing on aerosol fundamentals in connection to materials processing and nanoscale engineering. Students attend and give research presentations for the research they plan to do and at the end of the semester they defend their results and answer questions from research scientists. Familiarize the students with the latest in this field. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The goal of the seminar is to introduce and discuss newest developments in particle science and engineering. Emphasis is placed on the oral presentation of research results, validation and comparison with existing data from the literature. Students learn how to organize and deliver effectively a scientific presentation and how to articulate and debate scientific results. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The seminar addresses synthesis, characterization, handling and modeling of particulate systems (aerosols, suspensions etc.) for applications in ceramics, catalysis, reinforcements, pigments, composites etc. on the examples of newest research developments. It comprises particle - particle interactions, particle - fluid interactions and the response of the particulate system to the specific application. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Voraussetzungen: Particle Technology (30-902) or Particulate Processes (151-0903-00) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0940-00L | Modelling and Mathematical Methods in Process and Chemical Engineering | W | 4 credits | 3G | M. Mazzotti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Study of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Study of the non-numerical solution of systems of ordinary differential equations and first order partial differential equations, with application to chemical kinetics, simple batch distillation, and chromatography. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Development of mathematical models in process and chemical engineering, particularly for chemical kinetics, batch distillation, and chromatography. Study of systems of ordinary differential equations (ODEs), their stability, and their qualitative analysis. Study of single first order partial differential equation (PDE) in space and time, using the method of characteristics. Application of the theory of ODEs to population dynamics, chemical kinetics (Belousov-Zhabotinsky reaction), and simple batch distillation (residue curve maps). Application of the method of characteristic to chromatography. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | no skript | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | A. Varma, M. Morbidelli, "Mathematical methods in chemical engineering," Oxford University Press (1997) H.K. Rhee, R. Aris, N.R. Amundson, "First-order partial differential equations. Vol. 1," Dover Publications, New York (1986) R. Aris, "Mathematical modeling: A chemical engineer’s perspective," Academic Press, San Diego (1999) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0946-00L | Macromolecular Engineering: Networks and Gels | W | 4 credits | 4G | M. Tibbitt | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course will provide an introduction to the design and physics of soft matter with a focus on polymer networks and hydrogels. The course will integrate fundamental aspects of polymer physics, engineering of soft materials, mechanics of viscoelastic materials, applications of networks and gels in biomedical applications including tissue engineering, 3D printing, and drug delivery. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The main learning objectives of this course are: 1. Identify the key characteristics of soft matter and the properties of ideal and non-ideal macromolecules. 2. Calculate the physical properties of polymers in solution. 3. Predict macroscale properties of polymer networks and gels based on constituent chemical structure and topology. 4. Design networks and gels for industrial and biomedical applications. 5. Read and evaluate research papers on recent research on networks and gels and communicate the content orally to a multidisciplinary audience. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class notes and handouts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Polymer Physics by M. Rubinstein and R.H. Colby; samplings from other texts. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Physics I+II, Thermodynamics I+II | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 151-0950-00L | Sustainable Heating and Cooling Technologies  | W | 4 credits | 4G | D. Roskosch | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | This course introduces the fundamentals of sustainable heating and cooling technologies regarding thermodynamics, technology, and regulations. In addition to teaching fundamental knowledge, this course focuses on process design. In case study sessions, students solve problems related to the process design of heating and cooling technologies. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | At the end of this course, students will be able to: - select and use appropriate fluid property models, - choose a proper heating and cooling technology depending on the application, - develop mathematical models for the simulation of heat pump and cooling processes, - design and optimize heat pump and cooling processes, - design and select components and refrigerants, - apply the acquired numerical methods to the process design in other fields. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | - Heat pump applications: residential heating, industrial and high-temperature heating - Vapor-compression heat pumps: thermodynamics, components, refrigerants, oil - Alternative heat pump technologies - Cooling technologies and applications - Cryogenic cooling - Fluid property models - Numerical skills: root-finding, curve fitting, constrained non-linear-programming (NLP) optimization, discretization, solving ordinary differential equations | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides and supplementary documentation will be available online. Reference to appropriate book chapters and scientific papers will be provided. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic knowledge in programming is compulsory, preferable in PYTHON or Matlab. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-0952-00L | Nanophotonics: from Fundamentals to Applications | W | 4 credits | 2V + 2U | D. J. Norris, R. Quidant | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Nanophotonics exploits the unique optical properties of nanostructured materials to boost our control over light, beyond what conventional optics can do. In particular, nanophotonics has proven to offer a unique toolbox to engineer light on the nanometer scale, benefiting a wide spectrum of scientific disciplines, ranging from physics, chemistry, biology, and engineering. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The purpose of this course is threefold: (i) to introduce students to the principal concepts of nanophotonics, (ii) to describe some of the main nanophotonics implementations to control light on the nanometer scale, and finally (iii) to present specific applications where nanophotonics has made breakthrough contributions. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | I- INTRODUCTORY CONCEPTS 1. The diffraction limit and the challenges of conventional optics 2. The optical near field 3. Reminders on light-matter interaction 4. Reminders on optical resonators II- PLASMONICS 1. Surface plasmon polaritons 2. Localized surface plasmons 3. Hot carriers 4. Thermoplasmonics III- DIELECTRIC NANOPHOTONICS 1. Mie resonances in subwavelength particles 2. Electric versus magnetic resonances 3. Mode engineering and directional scattering 4. Dielectric nanophotonics versus plasmonics IV- ARTIFICIAL PHOTONIC MATERIALS 1. Photonic crystals 2. Metamaterials 3. Topological photonics 4. Flat optics, metasurfaces & metalenses V- APPLICATIONS 1. Renewable energy 2. Biomedicine 3. Information and Communication Technology | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Class notes and handouts | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | - Introduction to Nanophotonics - Benisty, Greffet & Lalanne - Absorption and scattering of light by small particles - Bohren & Huffman - Thermoplasmonics - Baffou - Plasmonics - Maier | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Physics, Introduction to Photonics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 151-1906-00L | Multiphase Flows | W | 4 credits | 3G | F. Coletti | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Introduction to fluid flows with multiple interacting phases. The emphasis is on regimes where a dispersed phase is carried by a continuous one: e.g., particles, bubbles and droplets suspended in gas or liquid flows, laminar or turbulent. The flow physics is put in the context of natural, biological, and industrial problems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | The main learning objectives are: - identify multiphase flow regimes and relevant non-dimensional parameters - distinguish spatio-temporal scales at play for each phase - quantify mutual coupling between different phases - apply fundamental principles in complex real-world flows - combine insight from theory, experiments, and numerics | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Single particle and multi-particle dynamics in laminar and turbulent flows; basics of suspension rheology; effects of surface tension on the formation, evolution and motion of bubbles and droplets; free-surface flows and wind-wave interaction; imaging techniques and modeling approaches. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Lecture slides are made available. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Suggested readings are provided for each topic. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Fundamental knowledge of fluid dynamics is essential. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 227-0966-00L | Quantitative Big Imaging: From Images to Statistics | W | 4 credits | 2V + 1U | P. A. Kaestner, M. Stampanoni | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The lecture focuses on the challenging task of extracting robust, quantitative metrics from imaging data and is intended to bridge the gap between pure signal processing and the experimental science of imaging. The course will focus on techniques, scalability, and science-driven analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | 1. Introduction of applied image processing for research science covering basic image processing, quantitative methods, and statistics. 2. Understanding of imaging as a means to accomplish a scientific goal. 3. Ability to apply quantitative methods to complex 3D data to determine the validity of a hypothesis | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Imaging is a well established field and is rapidly growing as technological improvements push the limits of resolution in space, time, material and functional sensitivity. These improvements have meant bigger, more diverse datasets being acquired at an ever increasing rate. With methods varying from focused ion beams to X-rays to magnetic resonance, the sources for these images are exceptionally heterogeneous; however, the tools and techniques for processing these images and transforming them into quantitative, biologically or materially meaningful information are similar. The course consists of equal parts theory and practical analysis of first synthetic and then real imaging datasets. Basic aspects of image processing are covered such as filtering, thresholding, and morphology. From these concepts a series of tools will be developed for analyzing arbitrary images in a very generic manner. Specifically a series of methods will be covered, e.g. characterizing shape, thickness, tortuosity, alignment, and spatial distribution of material features like pores. From these metrics the statistics aspect of the course will be developed where reproducibility, robustness, and sensitivity will be investigated in order to accurately determine the precision and accuracy of these quantitative measurements. A major emphasis of the course will be scalability and the tools of the 'Big Data' trend will be discussed and how cluster, cloud, and new high-performance large dataset techniques can be applied to analyze imaging datasets. In addition, given the importance of multi-scale systems, a data-management and analysis approach based on modern databases will be presented for storing complex hierarchical information in a flexible manner. Finally as a concluding project the students will apply the learned methods on real experimental data from the latest 3D experiments taken from either their own work / research or partnered with an experimental imaging group. The course provides the necessary background to perform the quantitative evaluation of complicated 3D imaging data in a minimally subjective or arbitrary manner to answer questions coming from the fields of physics, biology, medicine, material science, and paleontology. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Available online. https://imaginglectures.github.io/Quantitative-Big-Imaging-2023/weeklyplan.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Will be indicated during the lecture. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Ideally, students will have some familiarity with basic manipulation and programming in languages like Python, Matlab, or R. Interested students who are worried about their skill level in this regard are encouraged to contact Anders Kaestner directly (anders.kaestner@psi.ch). More advanced students who are familiar with Python, C++, (or in some cases Java) will have to opportunity to develop more of their own tools. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 529-0191-01L | Electrochemical Energy Conversion and Storage Technologies | W | 4 credits | 2V + 1U | L. Gubler, E. Fabbri, J. Herranz Salañer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | The course provides an introduction to the principles and applications of electrochemical energy conversion (e.g. fuel cells) and storage (e.g. batteries) technologies in the broader context of a renewable energy system. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | Students will discover the importance of electrochemical energy conversion and storage in energy systems of today and the future, specifically in the framework of renewable energy scenarios. Basics and key features of electrochemical devices will be discussed, and applications in the context of the overall energy system will be highlighted with focus on future mobility technologies and grid-scale energy storage. Finally, the role of (electro)chemical processes in power-to-X and deep decarbonization concepts will be elaborated. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | Overview of energy utilization: past, present and future, globally and locally; today’s and future challenges for the energy system; climate changes; renewable energy scenarios; introduction to electrochemistry; electrochemical devices, basics and their applications: batteries, fuel cells, electrolyzers, flow batteries, supercapacitors, chemical energy carriers: hydrogen & synthetic natural gas; electromobility; grid-scale energy storage, power-to-gas, power-to-X and deep decarbonization, techno-economics and life cycle analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | all lecture materials will be available for download on the course website and Moodle. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Textbook recommendations for advanced studies on the topics of the course: - M. Sterner, I. Stadler (Eds.): Handbook of Energy Storage (Springer, 2019). - C.H. Hamann, A. Hamnett, W. Vielstich; Electrochemistry, Wiley-VCH (2007). - T.F. Fuller, J.N. Harb: Electrochemical Engineering, Wiley (2018) | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | Basic physical chemistry background required, prior knowledge of electrochemistry basics desired. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 529-0633-00L | Heterogeneous Reaction Engineering | W | 4 credits | 3G | J. Pérez-Ramírez, A. J. Martín Fernández | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Heterogenous reaction engineering aims at studying heterogeneous reactions to define the optional reactor design. Integrating concepts from chemical engineering and chemistry, the fundamental principles of this broad family of reactions are covered, making students develop the necessary skills for the selection and design of various types of reactors. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | At the end of the course students must understand the basic principles of catalyzed and non-catalyzed heterogeneous reactions, enabling them to predict the effect of process variables on reaction rates, develop rate expressions from experimental data, and identify suitable reactors. To reach these goals, they first must be able to determine key process features through applying models to represent fluid-fluid and fluid-solid reactions, describing kinetics of catalyzed reactions, accounting for mass and heat transport phenomena on reaction rates, and recognizing the main causes of catalyst deactivation. Based on this, students must be able to select suitable reactors described during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The following areas are covered: - Fluid-fluid and fluid-solid heterogeneous reactions. - Kinetics of catalyzed reactions. - Mass and heat transport phenomena. - Catalyst effectiveness. - Catalyst deactivation. - Strategies for catalyst evaluation and reactor selection. Additionally to the lectures, quiz sessions revising basic concepts using EduApp help develop the required competences. Exercises based on relevant processes are discussed throughout the course to support the understanding of the theory and to exemplify the practical significance of the topics. Additionally, tutorial videos will be available for selected exercises of the booklet. Voluntary assignments associated to each core area for independent/team work and supported by teaching assistants are also provided. The assignments will help fixing core concepts covered in the lectures and exercises while also exposing the student to more realistic examples. Delivered assignments are graded. Consistently high grades over the series of assignments may have a positive impact on the final grade of the course. The evaluation of the course will cover theoretical and practical aspects. Students will be asked to develop theoretical concepts closely related to those described in the script and developed during the lectures. Students are also expected to solve practical examples relative to the level of complexity of the exercise booklet and assignments. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Script, booklet of exercises, assignments, and interactive material are available in the corresponding Moodle course. This course does not offer lecture recording. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | H. Scott Fogler: Elements of Chemical Reaction Engineering, Prentice Hall, New Jersey, 1992 O. Levenspiel: Chemical Reaction Engineering, 3rd edition, John Wiley & Sons, New Jersey, 1999 Further relevant sources are given during the course. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| 636-0111-00L | Synthetic Biology I | W | 4 credits | 3G | S. Panke, J. Stelling | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Abstract | Theoretical & practical introduction into the design of dynamic biological systems at different levels of abstraction, ranging from biological fundamentals of systems design (introduction to bacterial gene regulation, elements of transcriptional & translational control, advanced genetic engineering) to engineering design principles (standards, abstractions) mathematical modelling & systems desig | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Learning objective | After the course, students will be able to theoretically master the biological and engineering fundamentals required for biological design to be able to participate in the international iGEM competition. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Content | The overall goal of the course is to familiarize the students with the potential, the requirements and the problems of designing dynamic biological elements that are of central importance for manipulating biological systems, primarily (but not exclusively) prokaryotic systems. Next, the students will be taken through a number of successful examples of biological design, such as toggle switches, pulse generators, and oscillating systems, and apply the biological and engineering fundamentals to these examples, so that they get hands-on experience on how to integrate the various disciplines on their way to designing biological systems. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Lecture notes | Handouts during classes. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Literature | Mark Ptashne, A Genetic Switch (3rd ed), Cold Spring Haror Laboratory Press Uri Alon, An Introduction to Systems Biology, Chapman & Hall | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Prerequisites / Notice | 1) Though we do not place a formal requirement for previous participation in particular courses, we expect all participants to be familiar with a certain level of biology and of mathematics. Specifically, there will be material for self study available on https://bsse.ethz.ch/bpl/education/lectures/synthetic-biology-i/download.html as of mid January, and everybody is expected to be fully familiar with this material BEFORE THE CLASS BEGINS to be able to follow the different lectures. Please contact sven.panke@bsse.ethz.ch for access to material 2) The course is also thought as a preparation for the participation in the international iGEM synthetic biology summer competition (www.syntheticbiology.ethz.ch, http://www.igem.org). This competition is also the contents of the course Synthetic Biology II. https://bsse.ethz.ch/bpl/education/lectures/synthetic-biology-i/download.html | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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