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The objective of this project is to develop an atomic beam by ultrasonic expansion and to align it with a levitated nanoparticle in ultrahigh vacuum. - Electrical and Electronic Engineering, Optical Physics
- Master Thesis
| Polymer networks are made by cross-linking polymer chains at their ends by means of a chemical reaction. While the properties of used reactions are usually very well characterized for small molecules, little is known about how the presence of a polymer chain and its length affect this reaction. In this project, we aim to study this, mostly experimentally, but also including a theoretical approach. We propose to start with boronic ester chemistry, which has been already characterized in literature and in our lab. the reactants will be functionalized on linear PEG chains. We plan on studying both the thermodynamic and kinetic parameters. - Characterisation of Macromolecules, Physical Chemistry of Macromolecules, Thermodynamics and Statistical Physics
- Bachelor Thesis, Master Thesis, Semester Project
| The manipulation of materials and fluids through acoustic streaming has emerged as a powerful technique with applications in manufacturing and biomedical engineering. This method utilizes sound waves to control the movement of particles within a fluid, offering precise and non-invasive manipulation. However, achieving freeform path manipulation—guiding materials along complex, non-linear trajectories—remains a significant challenge due to difficulties in controlling the influence range and vortex dynamics of acoustic streaming. Traditional methods often struggle with maintaining precision and stability along intricate paths, as the non-uniform distribution of acoustic forces complicates consistent directionality. Artificial Intelligence (AI) presents a promising solution, enabling real-time control and optimization of these systems. By integrating AI with acoustic streaming, algorithms can analyze and predict the interactions between acoustic forces and fluid dynamics, allowing for dynamic adjustments that enhance accuracy.
In this thesis, we propose addressing these challenges by implementing a pillar array of acoustic actuators coupled with AI-driven control systems. The pillar array will generate and modulate acoustic streaming fields, while AI will optimize and automate their control in real time. This integration aims to improve the precision of freeform path manipulation, facilitating the creation of complex patterns that are otherwise difficult to achieve, thereby expanding the possibilities for material manipulation across various applications.
- Artificial Intelligence and Signal and Image Processing, Communications Technologies, Computation Theory and Mathematics, Computer Hardware, Computer Software, Information Systems, Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering, Medical and Health Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| Lumbar spinal stenosis (LSS) is a condition characterized by the narrowing of the lumbar spinal canal, resulting in compression of the nerve roots or cauda equina. Patients with LSS often exhibit altered spinal kinematics and compensatory movement patterns, which can increase paraspinal muscle activity and segmental loads. This study aims to estimate the spinal loads in LSS patients using an advanced full-body musculoskeletal model within the AnyBody Modeling System, incorporating patient-specific motion-capture data. Gaining a deeper understanding of the differences in spinal kinematics between LSS patients and healthy individuals, and their effects on spinal loading, could inform more effective treatment and rehabilitation strategies. - Biomechanical Engineering
- Master Thesis
| In this semester project you will learn many state-of-the-art nano-fabrication techniques, such as mechanical exfoliation, van der Waals heterostructure assembly, glovebox, AFM, optical lithography, etc. - Electrical and Electronic Engineering, Optical Physics
- Semester Project
| This project aims to develop a detailed model of a reinforced concrete building requiring seismic performance enhancements. Key outcomes include translating building data into a Finite Element model, investigating material properties, calibrating the model with real data, and conducting dynamic analysis under earthquake excitation. - Mechanical Engineering, Structural Engineering
- ETH Zurich (ETHZ), Master Thesis
| Glacier retreat is one of the most visible signs of ongoing climate change. Understanding the local impacts of glacier evolution is crucial, with mass balance being a central concept. This project explores the use of machine learning models for the computation of glacier mass balance. | Thermal energy storage (TES) operating at temperatures above 500 °C has the potential to help decar-bonize processes which typically rely on fossil fuels to produce high-T heat on demand.
Modelling this type of TES is challenging since heat transfer is dominated by radiation at high tempera-tures, which must be coupled with conduction and, for molten materials, convection. In a recent Master Thesis project, a voxel-based Monte Carlo model dedicated to these problems was developed and suc-cessfully validated against reference solutions [1].
The scope of this project is to exploit this software tool to investigate the design space of high-T thermal energy storage concepts, and to propose the design of a representative small-scale prototype to be tested in our labs. - Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| This project is a collaboration between the EPFL Intelligent Maintenance and Operations Lab and the EMPA Urban Energy Systems Lab exploring building thermal modeling that combines data-driven and physical modeling to optimize building energy system operation. - Engineering and Technology
- Bachelor Thesis, Master Thesis, Semester Project
| This thesis extends an innovative approach, developed at ETH Zurich to reduce seismically induced vibrations in buildings. The goal is to design and model a seismic retrofitting device, called NegSV, which employs negative stiffness. Building on previous studies of a scaled model, this work focuses on developing the device for practical use. Key tasks include mechanical design, finite element modelling, and structural analysis to assess the capacity of the system. - Automotive Engineering, Mechanical Engineering, Structural Engineering
- ETH Zurich (ETHZ), Master Thesis
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