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March 2019 You can read our latest paper , the first review on rotational dynamics of linkers in metal-organic frameworks in Nanomaterials . A closer look on this phenomenon reveals that rotational mobility in MOFs is a widespread phenomenon with clear consequences for adsorption and separation of molecules, as well as for optical and mechanical properties. 4th of December 2018 Monique van der Veen is awarded the NWO Athena Prize at Chains 2018 September 2018 A new group of Bachelor, Master and Exchange Students joined our group. Welcome Quentin, Leonid, Maria and Chaitanya! 24th of August 2018 Our paper on a new method to probe dynamic processes of materials in solution got published in Nature Communications. We developed the method together with our collaborators at the University of Leuven. The method allows for fast acquisition times of nonlinear scattered light at multiple scattering angles and polarisation combinations. This is achieved through Fourier imaging. This allows us to follow the crystal growth of the metal organic framework ZIF-8 in solution. The angle dependence of the signal provides insight into the growth mechanism by probing the evolution of size, shape and concentration, while polarization analysis yields structural infor- mation in terms of point group symmetry. Our findings highlight the potential of dynamic angle-resolved harmonic light scattering to probe crystal growth processes, assembly–disassembly of biological systems, adsorption, transport through membranes and myriad other applications. Nature Communications 2018(9): 3418 August 2018 Max Bailey defended his Honours Project successfully. Congratulations, Max! 9th of July 2018 Srinidhi Mula joined the group as a PhD student. She'll be modelling the piezo- and ferroelectric properties of metal-organic frameworks. 6th of July 2018 The previous two weeks, the group's bachelor students defended their bachelor thesis successfully! Emma Bos: The mechanism and structure of Cobalt caged in metal-organic frameworks for photocatalytic Hydrogen Evolution Ruben Hortensius: Synthesis of polystyrene in NO2-MIL-125 and a study of its dynamics Cees Breevaart: Reliable measurement and comparison of photocatalytic activity. Well done! 1rst of May 2018 Davide Rega and Max Bailey joined the group as PhD students and Honours Master student respectively. Welcome Davide and Max! 12-19th of April 2018 The group is doing experiments at the Swiss Light Source (synchrotron facility). Group picture At the Schnitzeria 1rst of March 2018 Stefano Canossa joined the group as a postdoc. He'll study the synthesis and structure of metal-organic frameworks.

Research

Metal-organic frameworks for memories and mechanical energy harvesting A ferroelectric is a polar material of which the polarization direction can be switched by an electrical field. These materials can be used as non-volatile memories, and as harvesters of mechanical energy. The goal of our research is to rationally design ferroelectric metal-organic frameworks. We envision their use in a diverse range of physically flexible electronics. Crystallisation In our development of materials, also the macroscopic shape of the crystalline materials is vital. For accurate characterisation of the structure we need large single crystals, for their applications in electronics patterned thin films are generally needed. Therefore we devote significant effort into growing our materials in these shapes. Photocatalytic metal-organic frameworks Solar energy is the most abundant form of sustainable energy that can replace fossil fuels. Yet synthesizing chemical fuels photocatalytically, needs to improve greatly in efficiency. To achieve a high overall efficiency ,the transfer of the photogenerated charges between each of the different components of the photocatalyst should be efficient. The versatility of metal-organic frameworks form an excellent platform to unravel the mechanisms governing charge transfer. Spectroscopy and Computational Modelling The goal of our research is to obtain detailed insight in the structure/properties relationships of our materials, so we can use this knowledge to guide the synthesis of new and better materials. We use a variety of techniques to obtain inside into their structure under the influence of light and electrical fields, pump-probe spectroscopy to probe dynamics on the ultrafast time scale, as well as computational screening and DFT calculations of materials. Funding

Dislocations

Learning objectives The PhD candidate acquires fundamental knowledge on the character of dislocations at the atomic scale in different crystal structures the different types of dislocations the motion of dislocations the interaction of dislocations with microstructural features the role of dislocations in the mechanical behaviour of metals Contents partial dislocations, superdislocations, dislocation loops observation of dislocations interaction between dislocations formation of cell structures motion of dislocations, climb, cross-slip multiplication of dislocations geometrically necessary dislocations recovery interaction between dislocations and microstructural features Required background The PhD candidate should have basic knowledge on the crystallography of metals dislocations mechanical behaviour of metals atomic interaction and defect energies Course material D. Hull and D.J. Bacon, Introduction to dislocations, 4th edition, ed. Butterworth & Heinemann, Oxford (1965, 2001) Introductory chapters 1. Defects in crystals 2. Observation of dislocations 3. Movement of dislocations Chapters on the character of dislocations 4. Elastic properties of dislocations 5. Dislocations in FCC metals 6. Dislocations in other crystal structures 7. Jogs and the intersection of dislocations Chapters on the behaviour of dislocations in relation to deformation 8. Origin and multiplication of dislocations 9. Dislocation arrays and crystal boundaries 10. Strength of crystalline solids The first category of chapters should be more or less trivial to the PhD candidate. The second category is more important, but the focus of the module is on understanding the chapters 8−10. ECTS credits: 1.5(=5GSC) Lecturer(s): Prof.Dr.Ir. Jilt Sietsma Course dates: Five weekly 2-3 hour discussion meetings, for which the PhD candidates prepare by reading chapters of the book. April 2020: Wednesdays 15, 22 and 29 May 2020: Wednesdays 6 and 13 Always at 14.00-17.00 hrs Room: H-3-170 Group sizes: The course will be offered for a minimum of 4 participants and a maximum of 8 participants per session. Access will be on a first come first served basis. Assessment: Take-home assignment to write an essay on a selected topic. Contact: PhD candidates wishing to participate should contact Prof.Dr.Ir. Jilt Sietsma by email ( J.Sietsma@tudelft.nl ) as soon as possible, indicating their primary study, supervisor/promoter and preferred start date.

Saša Kenjereš

Prof.dr. Saša Kenjereš Full Professor +31 (0)15 27 83649 S.Kenjeres@tudelft.nl Building 58, F2.230 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Sandra Paffen +31 (0)15 27 83896 S.M.Paffen@tudelft.nl linkedin Research performed in prof.dr. Kenjereš’s Lab covers of a wide range of fundamental and applied phenomena in physics, engineering (chemical, mechanical, biomedical, environmental, energy), medicine, and computer science, which include: (I) multiscale transport phenomena in biomedical applications (numerical methods, computer simulations, and experiments); (II) advanced fluid dynamics, heat and mass transfer, and turbulence (mathematical modeling, simulations, and experiments); (III) coupling fluid mechanics and electromagnetism (magnetohydrodynamics, MHD); (IV) environmental flows, turbulent dispersion in complex urban areas, atmospheric chemistry and crowd behavior; (V) high-performance supercomputing (HPC). In recent years, a novel research direction was initiated with a focus on the mathematical modelling, advanced computational simulations, and state-of-art experiments based on the combined particle imaging velocimetry (PIV) and magnetic resonance imaging (MRI) to mimic complex blood and air flows in the patient-specific cardiovascular and respiratory systems. “At present, we are witnessing rapid trends of a close convergence of research topics between the engineering sciences, life sciences, healthcare, and biomedical fields. I strongly believe in the tremendous potential of combining engineering (chemical, biomedical, mechanical), science (applied physics, applied mathematics, computer science, high-performance computing), medicine and biology in solving some of the most challenging research questions dealing with the early identification, diagnostics, and efficient treatment of various diseases in humans. "My personal goal is to see the transfer of knowledge, models, computer codes, and experimental approaches from my engineering Lab to practical clinical applications. This is achieved through a strategical collaboration with University Medical Centers in The Netherlands (EMC Rotterdam, LUMC Leiden, AMC Amsterdam, UMC Maastricht) and universities abroad (ETH Zurich, Ghent University, AGH University of Science and Technology in Krakow, Huston Methodist Research Institute and Hospital, Harvard School of Public Health, The Hong Kong Polytechnic University, Hong Kong, China). In parallel to research, I have supervised more than 20 Ph.D. at TUD and abroad (ETH Zurich, University of Ghent), more than 15 Postdocs and Research Associates, as well as more than 200 M.Sc. and B.Sc. students from various programs within TUD, including Applied Physics, Chemical Engineering, Mechanical Engineering, Molecular Science and Technology, and Applied Mathematics.” Research group Academic background Prof.dr. Saša Kenjereš is a Full Professor of Applied Physics and Chemical Engineering at the Delft University of Technology, Delft, The Netherlands. He received his Ph.D. in Applied Physics in 1999 at the Delft University of Technology, The Netherlands. From 2001 to 2005 he was a Research Fellow of the Royal Netherlands Academy of Sciences and Arts (KNAW). From 2005 to 2006 he was a Burgers Visiting Associate Professor at the University of Maryland, College Park, USA, Institute of Physical Science and Technology, Computer and Space Science/Earth Systems Science Interdisciplinary Center. He received ERCOFTAC (European Research Community on Flow, Turbulence, and Combustion) and Leonhard Euler Centre Visitor Fellowships at ETH Zurich, Switzerland (2002, 2003, 2004, 2008, and 2014). He was the Marie-Curie Visiting Professor at the AGH University of Science and Technology, Krakow, Poland (2007-2013). He is currently (2022-present) also Visiting Professor of the double-degree Energy and Environmental Engineering MSc program between the Shibaura Institute of Technology, Tokyo, Japan, and the AGH University of Science and Technology, Krakow, Poland. +31 (0)15 27 83649 S.Kenjeres@tudelft.nl Building 58, F2.230 Van der Maasweg 9 2629 HZ Delft The Netherlands Management Assistant Sandra Paffen +31 (0)15 27 83896 S.M.Paffen@tudelft.nl linkedin Keywords Advanced Fluid Mechanics/Heat and Mass Transfer/Turbulence Multi-Scale Multi-Physics Transport Phenomena Bio-medical Applications Research Gate Educational Activities Google Scholar Pure Research Current teaching activities Continuum Physics (MSc Applied Physics, 6 ECTS) Advanced Physical Transport Phenomena (MSc Applied Physics & Chemical Engineering, 6 ECTS) Biological Transport Phenomena (MSc Chemical Engineering, 4 ECTS) Past teaching activities Mechanics 1 (BSc in Applied Earth Sciences, 4 ECTS) (responsible instructor, lecturing, tests, exams; students ~100 per year; period: 2008-2015) Understanding Climate in Cities: Modelling and Simulations (BSc Minor/Interfaculty TUD, 4 ECTS) (responsible instructor; 10-20 students per year; period: 2010-2014) Research Practicum in Applied Physics (BSc in Applied Physics, 3 ECTS) (Responsible Instructor and Supervision; 20 students per year; period: 2008-2019) Transport Phenomena in Biological Systems (BSc Minor in Medical Technology, Biomedical Engineering, Medical Delta, EMC Rotterdam and Leiden University, 1 ECTS) (Responsible instructor + Exam, 20 students per year; period: 2009-2011) The final group research project (PEP) (BSc in Applied Physics, 4 ECTS) (Supervision, 10 students per year; period: 2007-2019) Turbulence (Graduate Course), J. M. Burgersecentrum Research School for Fluid Mechanics (one week intensive PhD course) (students 20-30; period: 2008-2009) Special Lectures on Magnetohydrodynamics (MSc and PhD course; AGH University of Science and Technology, Krakow, Poland; series of 10 lectures; 15 students per year; period: 2007-2008)

Ethics/Philosophy of Technology

Overall mission of the Section The overall mission of the Ethics and Philosophy of Technology Section is to contribute to the professional and academic education of future engineers and to conduct research into philosophical, in particular ethical, problems related to modern technology and its impact on society. Research mission Our research mission is to develop philosophical accounts that provide insights into how to achieve responsible innovation of technology, in order to contribute the quality of human life, to sustainability and to a fair allocation of risks and benefits. We develop philosophical and normative theories and approaches to study modern technology in its social context. We specifically focus on ethical investigations of risk analysis, -management and -communication as well as on the design, development and implementation of technical artefacts, systems and infrastructures. Read more about our research Teaching mission On request of the board of TU Delft, the Ethics and Philosophy of Technology Section provides ethics teaching for all engineering programs at the University of Technology Delft, on all levels of education. The main topics of our courses relate to ethics and engineering, philosophy and methodology of science, technology and design, scientific integrity, argumentation theory and critical thinking. Read more about our teaching activities Service to society and public outreach The members of the Ethics/Philosophy Section are involved as advisors and/or members in several policy committees at national, EU, and UN levels. We are also active in the media, attempting to raise public awareness about the ethical and philosophical implications of technology. Read more about our service to society and public outreach Contact +31152786618 secr-fil-tbm@tudelft.nl Building 31 Jaffalaan 5 2628BX Delft More information Ethics education for engineering students

Automatic Extraction of Ridge Structures from Digital Elevation Models for the modelling software D-HYDRO

Automatic Extraction of Ridge Structures from Digital Elevation Models for the modelling software D-HYDRO By Thirza van Noppen with supervisor: Ruud van der Ent In order to avoid substantial damage as a result of flooding and extreme water discharges, it is of considerable importance to model flood events as it can help in flood risk reduction and mitigation. Numerous hydrodynamic simulation models have been designed for the purpose of modelling the movement of water and are widely used to assess flooding risk. The simplest and most common practice in these models is to use one-dimensional (1D) models that treat flow one-dimensionally along the river channel. Alternatively, two-dimensional (2D) models can provide more detailed results but they remain computationally demanding and data intensive. Recent advances and software developments resulted in novel mechanisms that can reduce computation costs. One of these mechanisms is the incorporation of fixed weirs in a hydrodynamic model. Fixed weirs represent abrupt changes in altitude that have an impact on the local flow during flooding. The fixed weirs can be incorporated into modelling software such as 3Di, HEC-RAS and D-HYDRO Suite. The weir elements are aligned on the 2D-grid network, hence the resolution of the model can be kept large while sudden changes in depth are taken into account. Until now, fixed weirs are still drawn manually or with the aid of existing data of roads or railways, which is a labor-intensive and time consuming process. In addition, the process of manually drawing fixed weirs is a subjective process and is therefore largely dependent on the interpretation of the modeler. The main objective of this study is to develop a tool that can automatically detect ridge structures based on a digital elevation model (DEM). Subsequently, the results of the tool will be evaluated in a D-HYDRO model developed for the river Roer (which is located in the province Limburg in The Netherlands). In order to do so, three approaches will be compared: a model with fixed weirs detected by the tool, a model containing no fixed weirs, and one with manually drawn fixed weirs.

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New LDE trainee in D&I office

Keehan Akbari has started since the beginning of September as a new LDE trainee in the Diversity and Inclusion office. What motivated him to work for the D&I office, what does he expect to achieve during this traineeship? Read the short interview below! What motivated you to pursue your LDE traineeship in Diversity and Inclusion office of the TU Delft? I completed both bachelor's and master's degrees in Cultural Anthropology and Development Sociology at Leiden University. Within these studies, my main area of interest was in themes of inclusion and diversity. After being hired as a trainee for the LDE traineeship, and discovering that one of the possible assignments belonged to the Diversity and Inclusion office, my choice was quickly made. I saw this as an excellent opportunity to put the theories I learned during my studies into practice. What specific skills or experiences do you bring to the D&I office that will help promote inclusivity on campus? I am someone who likes to connect rather than polarize, taking into account the importance of different perspectives and stakeholders. I believe that this is how one can achieve the most in fostering diversity and inclusion. You need to get multiple parties on board to get the best results. What are your main goals as you begin your role here, and how do you hope to make an impact? An important goal for me this year is to get students more involved in diversity and inclusion at the university. One way I will try to accomplish this is by contributing to the creation of D&I student teams. By establishing a D&I student team for faculties, it will be possible to deal with diversity- and inclusion-related issues that apply and relate to the specific department. How do you plan to engage with different (student) communities within the university? Since I am new to TU Delft, the first thing I need to do is expand my network here. Therefore, I am currently busy exploring the university and getting to know various stakeholders. Moreover, I intend to be in close contact with various student and study organizations to explore together how to strengthen cooperation on diversity and inclusion. Welcome to the team Keehan and we wish you lots of success with your traineeship!

Researchers from TU Delft and Cambridge University collaborate on innovative methods to combat Climate Change

For over a year and a half, researchers from TU Delft and the Cambridge University Centre for Climate Repair have worked together on groundbreaking techniques to increase the reflectivity of clouds in the fight against global warming. During a two-day meeting, the teams are discussing their progress. Researchers at Cambridge are focusing on the technical development of a system that can spray seawater, releasing tiny salt crystals into the atmosphere to brighten the clouds. The team from TU Delft, led by Prof. Dr. Ir. Herman Russchenberg, scientific director of the TU Delft Climate Action Program and professor of Atmospheric Remote Sensing, is studying the physical effects of this technique. Prof. Russchenberg emphasizes the importance of this research: "We have now taken the first steps towards developing emergency measures against climate change. If it proves necessary, we must be prepared to implement these techniques. Ideally, we wouldn't need to use them, but it's important to investigate how they work now." Prof. Dr. Ir. Stefan Aarninkhof, dean of the Faculty of Civil Engineering and Geosciences, expresses pride in the team as the first results of this unique collaboration are becoming visible. If the researchers in Delft and Cambridge can demonstrate the potential of the concept, the first small-scale experiments will responsibly begin within a year. This research has been made possible thanks to the long-term support from the Refreeze the Arctic Foundation, founded by family of TU Delft alumnus Marc Salzer Levi . Such generous contributions enable innovative and high-impact research that addresses urgent global challenges like climate change. Large donations like these enable the pursuit of innovative, high-impact research that may not otherwise be feasible, demonstrating how our collective effort and investment in science can lead to real, transformative solutions for global challenges like climate change. Climate-Action Programme

How system safety can make Machine Learning systems safer in the public sector

Machine Learning (ML), a form of AI where patterns are discovered in large amounts of data, can be very useful. It is increasingly used, for example, in chatbot Chat GPT, facial recognition, or speech software. However, there are also concerns about the use of ML systems in the public sector. How do you prevent the system from, for example, discriminating or making large-scale mistakes with negative effects on citizens? Scientists at TU Delft, including Jeroen Delfos, investigated how lessons from system safety can contribute to making ML systems safer in the public sector. “Policymakers are busy devising measures to counter the negative effects of ML. Our research shows that they can rely much more on existing concepts and theories that have already proven their value in other sectors,” says Jeroen Delfos. Jeroen Delfos Learning from other sectors In their research, the scientists used concepts from system safety and systems theory to describe the challenges of using ML systems in the public sector. Delfos: “Concepts and tools from the system safety literature are already widely used to support safety in sectors such as aviation, for example by analysing accidents with system safety methods. However, this is not yet common practice in the field of AI and ML. By applying a system-theoretical perspective, we view safety not only as a result of how the technology works, but as the result of a complex set of technical, social, and organisational factors.” The researchers interviewed professionals from the public sector to see which factors are recognized and which are still underexposed. Bias There is room for improvement to make ML systems in the public sector safer. For example, bias in data is still often seen as a technical problem, while the origin of that bias may lie far outside the technical system. Delfos: “Consider, for instance, the registration of crime. In neighbourhoods where the police patrol more frequently, logically, more crime is recorded, which leads to these areas being overrepresented in crime statistics. An ML system trained to discover patterns in these statistics will replicate or even reinforce this bias. However, the problem lies in the method of recording, not in the ML system itself.” Reducing risks According to the researchers, policymakers and civil servants involved in the development of ML systems would do well to incorporate system safety concepts. For example, it is advisable to identify in advance what kinds of accidents one wants to prevent when designing an ML system. Another lesson from system safety, for instance in aviation, is that systems tend to become more risky over time in practice, because safety becomes subordinate to efficiency as long as no accidents occur. “It is therefore important that safety remains a recurring topic in evaluations and that safety requirements are enforced,” says Delfos. Read the research paper .