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Mission statement The staff of the faculty of ME carry out ground-breaking and pioneering research, which leads to challenging applications and new fundamental insights in the fields of mechanical, maritime and materials engineering. The foundations and results of this research are reflected in outstanding contemporary and modern education. This education inspires ME students to become socially engaged and responsible engineers and scientists, who make optimum use of their competencies and expertise in order to resolve social problems and develop valuable technological innovations. The faculty of ME presents itself as a dynamic and innovative faculty aimed at having its staff, students and alumni make a significant contribution to the development and growth of a sustainable society, as well as prosperity and welfare. Education The faculty of ME offers high-quality degree programmes, with the best possible lecturers, curricula and facilities. Students are challenged to bring out the best in themselves and assume responsibility for their academic progress. The competencies and skills of engineering graduates enable them to work in a broad range of areas in society, both in the Netherlands and abroad. Read Vision on Education (Dutch) Research ME’s research is pushing the boundaries of scientific knowledge. Researchers are conducting fundamental, applied and innovative research at a high level in all disciplines within the faculty. Cooperation with regional, national and international partners is flourishing and constantly expanding. Valorisation Valorisation is the sharing of knowledge with other parties. This can be done by supplying society with engineers and PhD graduates, by publishing scientific articles, and by converting knowledge (e.g. patents) into commercial activity. The faculty of ME seeks to develop and utilise new, useful and essential knowledge, with the research results being used by the business community or society in some cases, while leading to new educational programmes in others. ME wants to be a preferred partner for the business community and enter into sustainable partnerships. Read multi year plan Departments Alumni Dean Study associations Professors Working at the faculty Contact and map Name change

Alumni

The TU Delft alumni network currently has over 50,000 members worldwide, and we would like all these alumni to be able to keep in touch with each other and with TU Delft. In that way they can serve as an inspiration to current students, help fellow alumni and support TU Delft. TU Delft Alumni Community TU Delft for Life Alumni associations DSA Kalman Alumni Delft Center for Systems and Control (DCSC) +31 6 13120464 info@dsakalman.nl https://dsakalman.nl/alumni/ Mekelweg 2 2628 CD DELFT 1400 alumni members Voluntary contribution linkedin linkedin instagram facebook Alumni Platform Werktuigbouwkunde Delft (A.P.W. Delft) Studievereniging A.P.W. Delft 015-2786501 info@apwdelft.nl https://apwdelft.nl Mekelweg 2 2628 CD DELFT 351 alumni members € 17,- contribution per year (€ 30,- including year book) linkedin Vereniging Oud Leden S.G. William Froude Scheepsbouwkundig Gezelschap "William Froude" 015-2786562 froude-ME@tudelft.nl http://www.froude.nl Mekelweg 2 2628 CD DELFT 330 alumni members € 35,- contribution per year linkedin instagram facebook Stichting voor Oud-materiaalkundestudenten Het Gezelschap Tubalkaïn De Materiaalkundige Studievereniging "Het Gezelschap Tubalkaïn" Tubalkain-ME@tudelft.nl Website Mekelweg 2 2628 CD DELFT More than 600 alumni members Automatically former member, membership fee n/a Stichting Pandora Alumni Studiedispuut Pandora 015-2784955 pandora@tudelft.nl www.dispuutpandora.nl/alumni Sectie PEL Mekelweg 2 2628 CD DELFT 465 alumni members linkedin Dispuut Offshore Technologie Studievereniging Dispuut Offshore Technologie 015-2783790 dot@tudelft.nl www.dot.tudelft.nl Mekelweg 2 room 34 B-2-170 2628 CD DELFT One-off €15,- contribution "for life" linkedin

TU Delft Institute for Computational Science and Engineering

TU Delft Institute for Computational Science and Engineering (DCSE) About DCSE Computational Science and Engineering (CSE) is rapidly developing field that brings together applied mathematics, engineering and (social) science. DCSE is represented within all eight faculties of TU Delft. About forty research groups and more than three hundred faculty members are connected to, and actively involved in DCSE and its activities. Over 250 PhD students perform research related to computational science. CSE is a multidisciplinary application-driven field that deals with the development and application of computational models and simulations. Often coupled with high-performance computing to solve complex physical problems arising in engineering analysis and design (computational engineering) as well as natural phenomena (computational science). CSE has been described as the "third mode of discovery" (next to theory and experimentation). In many fields, computer simulation, development of problem-solving methodologies and robust numerical tools are integral and therefore essential to business and research. Computer simulations provide the capability to enter fields that are either inaccessible to traditional experimentation or where carrying out traditional empirical inquiries is prohibitively expensive. Mission DCSE’s mission is to take up a leading role in simulating and modelling physical, environmental and social phenomena using computational techniques. The institute is an authoritative community on computational science and engineering-related research, education and strategic cooperation. We are active within TU Delft and beyond: we focus on peers, industry, universities and knowledge institutes worldwide. Vision As society, we face important social and engineering challenges. DCSE contributes to addressing these challenges. From a computational science point of view, four ingredients are crucially needed: (1) a deep and thorough understanding of underlying phenomena; (2) mathematical approximations, efficient algorithms, smart computer simulations and high-end computing resources; (3) a holistic approach to engineering, where people from different backgrounds and with different perspectives cooperate; (4) a well-trained and skilled ‘next generation’ of researchers, engineers and developers. Strategy We connect all researchers who work on enabling technology for industry, and intensify cross-faculty research and cooperation. Our broad education portfolio geared towards the engineer of the future is designed for both bachelor, master, doctoral students, postdocs and staff. With the development of the Delft High Performance Computing Centre, we meet the enormous need among researchers and students for high-end computing resources. An emerging trend is a closer cooperation between CSE and AI, both in improved simulations and in the development of highly efficient algorithms that can be used in both CSE and AI. Subscribe to our Newsletter News News Archive Agenda

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NWO grants funding for innovative research on physical experimental environments

How to move from experiment to mainstream? A consortium led by professor Tamara Metze, has been awarded a prestigious grant from the Netherlands Organisation for Scientific Research (NWO). In search for pathways toward more sustainable futures, Metze and her team will explore how various innovations in field labs such as The Green Village, in urban living labs such as Engy Lab South-East in Amsterdam, and in all sorts of citizens’ initiatives, can be mainstreamed and make more impact on sustainability transitions. Pilot paradox The project ‘From EXperiment to sustainable change: TRAnsformative methodologies for Innovation and learning’ (EXTRA) seeks to overcome a persistent “pilot paradox”. In this paradox, much experimentation takes place but long-term systemic impact remains difficult. Researchers together with all sorts of change makers will synthesise existing knowledge on how to mainstream, upscale, spread, broaden and deepen developed innovations. Tamara Metze: ‘I am excited to unravel what are effective ways of cocreation that lead to mainstreaming the positive changes made in experimental environments. We will figure out how learning and innovation can lead to lasting changes in regulations, policies, and financial systems and the biophysical environment.’ Tamara Metze Read the NWO press release Actionable tools The project is crucial for accelerating sustainability transitions. By refining methodologies for mission-driven experimentation and develop hands on tools for all sorts of change-makers, it will be easier to mainstream the sustainable lessons and innovations. ‘These tools will not only aid grassroots innovators but also influence institutional and organisational structures, ensuring that lessons learned from experiments are better anchored in policies, regulations, and organisations’, explains Metze. The project will employ a transdisciplinary action research approach, bringing together knowledge from various disciplines and policy domains. By co-creating solutions with public and private partners, the research will have an immediate impact. In the long term, the project aims to build a more efficient innovation ecosystem, contributing to more impactful and sustainable outcomes for both society and the environment. Projectpartners TU Delft, VU Amsterdam, Wageningen University & Research, Hogeschool van Amsterdam, Erasmus Universiteit Rotterdam, Hogeschool Rotterdam, The Green Village, AMS Institute; PBL Planbureau voor de Leefomgeving, WoonFriesland, Dijkstra Draisma, Provincie Noord-Holland, Ministerie van Binnenlandse Zaken, PRICE / Almere, BouwLab, Alliantie Samen Nieuw-West, Innovation Quarter.

Unusual waves grow way beyond known limits

Waves that come from multiple directions are extremer than extreme. These remarkable deep-sea waves can be four times steeper than what was previously imagined, as is shown in research by TU Delft and other universities that was published in Nature today. A long time ago, stories were told of mysterious rogue waves that materialised out of nowhere and could topple even the largest ships. These waves lost their mythical character when the first rogue wave was recorded at the Draupner platform in the North Sea. In 2018, Ton van den Bremer and his colleagues at the Universities of Edinburgh and Oxford managed to recreate the Draupner wave in the lab for the first time ever, and this opportunity to study freak waves closely produced unexpected insights. Multiple waves push up water New research by the research consortium now shows that these remarkable waves do not break when traditional theories hold they should, the secret behind which lies in how they arise. Ton van den Bremer, expert on fluid mechanics at TU Delft and led the study, explains: “When most people think of waves, they think of the rolling waves you’d find on a beach. The type of wave we studied occurs in open water and arises when waves coming from multiple directions come together. When these waves with a high directional spread converge, the water is pushed upwards, forming a partially standing wave. An example of this is known as a crossing wave. How crossing waves arise Under certain conditions at sea, waves from multiple directions occur. This can happen in a place where two seas meet, or where winds suddenly change direction, as in a hurricane. When waves from two directions meet, a cross wave occurs, provided their directions are far enough apart. The study also shows that the further apart the directions are, the higher the resulting cross-wave. Travelling waves break when they reach a certain limit, this is when they reach their maximum steepness. The study shows that waves with a multidirectional spreading can get as much as 80% steeper than this limit before they start breaking, which means they can get almost twice as high as ‘normal waves’ before they start to break. Travelling wave (l) and a wave with high directional spreading (r) Breaking waves that grow Next, the researchers found another highly unusual phenomenon that defies existing theories, a phenomenon that is unprecedented according to Van den Bremer: “Once a conventional wave breaks, it forms a white cap, and there is no way back. But when a wave with a high directional spreading breaks, it can keep growing.” The study shows that these enormous waves can grow to twice their original steepness while breaking, which is already twice bigger than the conventional limit. Together, the waves can grow four times steeper than previously thought possible. Damage to offshore structures The knowledge that multidirectional waves can become as much as four times larger than was deemed possible can help design safer marine structures. "The three-dimensionality of waves is often overlooked in the design of offshore wind turbines and other structures in general; our findings suggest this leads to designs that are less reliable", says Mark McAllister of the University of Oxford, who led the experiments and is now a senior scientist at Wood Thilsted. Innovative vertical sensors made it possible to take accurate 3D measurements of waves. Innovative 3D measurement method A 3D measurement method developed in the FloWave lab paved the way for these new insights. “Conventional 2D wave measurement methods weren’t up to the task”, Van den Bremer explains, which is why the research group designed a new way to create 3D wave measurements. Ross Calvert of the University of Edinburgh: “This is the first time we've been able to measure wave heights at such high spatial resolution over such a big area, giving us a much more detailed understanding of complex wave breaking behaviour." FloWave Ocean Energy Research Facility in Edinburgh. The circular basin has a diameter of 25 metres and can be used to generate waves from multiple directions. Header image by: Fabien Duboc

Ensuring safe and quick food bike-delivery services in cities

Cyclists rushing to deliver food on time to hungry customers is an increasing problem in cities with the growing demand for fast home delivery services. This surge has resulted in more traffic in bike lanes, contributing to accidents and raising concerns about rider safety. In the framework of SINERGI project researchers like Yousef Maknoon are looking into solutions that will help boost logistic operations that are both efficient and safe. ‘Bike delivery services are a great way to transport goods from A to B in a green manner, replacing delivery cars or vans. These micro-delivery systems can really help make city logistics more sustainable,’ says logistics and modelling expert Yousef Maknoon, who is involved in developing real-time decision models for the SINERGI project. Besides looking into sustainability, the project aims to empower delivery providers to offer cost-efficient services, while prioritising the well-being of riders. ‘We want to help bring down the number of accidents,’ stresses Maknoon. Private and public stakeholders have joined to conduct pilot initiatives in the cities of Amsterdam, Shanghai, Singapore and Copenhagen. Yousef Maknoon Safe routing ‘To improve rider safety, the app automatically provides recommended routes when food delivery riders receive their task, helping them avoid dangerous intersections and busy streets. In Amsterdam, the goal is to develop a map that will show the safety of cycling infrastructure. The map is planned to be enriched with real-time information such weather conditions, busy days, and times of the week to not only improve delivery time prediction but also assess route safety in real time,’ explains Maknoon. ‘But everything depends on the cyclist's willingness to take the safer route. When a rider is paid per delivery, they might not be willing to take a longer route. Especially when they know the area well, it can be tempting to take a shorter route that may not always be the safest option.’ A survey held amongst 300 delivery riders found that they can be nudged to follow the recommended routes when they are compensated financially. Profit versus safety Maknoon: ‘What we also found is that paying an hourly fee, instead of paying per on-time delivery, promotes safer riding behaviour, like Just Eat Take​away does in the pilot in Amsterdam. However, other issues arise because riders might not be so motivated to deliver on time. Then you need other incentives to motivate efficiency among riders. Otherwise, customers might switch to other service providers. This puts the business model which is based on hourly payment and prioritize safety, under pressure.’ It seems now that delivery services need to make a trade-off between profit and safety. ‘With the SINERGI project we want to empower delivery providers to offer cost-efficient services while prioritising the well-being of riders.’ Government regulation Public authorities can, for example, improve road safety by enhancing infrastructure, such as building separate bicycle lanes.’ Delivery providers can introduce incentives for riders that compensate the extra time a longer, but safer, route might take. But this puts pressure on profitability and could cause micro-delivery logistics platforms to struggle or even go out of business. It is likely that government regulation will need to play a role in profit-driven societies, as safety risks being overshadowed. Fair delivery system This is also the case for ensuring a fair delivery system where all customers are serviced, whether they live in the busy city centre or the less densely populated countryside. Otherwise, customers who live farther away may not be serviced, as longer cycling times mean less money for riders when they are paid by commission. Riders can simply reject these orders and choose to deliver only to places where they think they can earn more. Human factor In this digitally connected world, we need to consider the human factor in real-time decision-making. The wellbeing of riders, their working conditions, and their quality of life are also important when we talk about making operational decisions. It is interesting to compare the four cities and how they manage the tension between cost-efficiency and safety, and to see what they can learn from each other. About SINERGI SINERGI is a three-year project that runs from 2023 to 2026. It involves thirteen research institutions, governmental authorities, and companies collaborating on a comprehensive framework to improve sustainable city logistics. The project aims to enable real-time management and strategic planning of efficient, safe and user-friendly delivery services. Besides Yousef Maknoon other researchers from TU-Delft involved are: Shadi Sharif Azadeh (project leader), Gonçalo Correia, Kuldeep Kavta and Dongyang Xia. Read more about the SINERGI project.

Unravelling how DNA is looped with DelftBlue and experiments

Roman Barth Proteins are the molecules that carry out essential functions in our cells, such as compacting long strands of DNA into a tiny structure in the cell nucleus. Experimental biophysicist Roman Barth wanted to understand this process down to the molecular level. Thanks to the DelftBlue supercomputer, he was able to compress several years of experiments into a single year. Knowing the sequence of amino acids that a protein is made of doesn’t tell you its three-dimensional shape. And knowing its shape doesn’t tell you its function and how it interacts with other molecules when performing that function.This is the challenge Roman Barth faced during his PhD at the Cees Dekker Lab in the Bionanoscience Department. “My goal was to unravel the interaction between two proteins known to be involved in the compaction of DNA via a process called DNA loop extrusion,” he says (see video ). “The first protein, cohesin, will loop DNA continuously if unstopped. The second protein, CTCF, acts as a stop sign to cohesin. That is very important for the cell as DNA, for example, needs to be accessible when read, expressed or maintained.” This is how scientists think cohesin loops DNA The interactions between proteins can’t be calculated from their amino acid sequences using first principles. AlphaFold The interaction between the two proteins depends on their shape, the parts that are in close proximity, and the forces that then occur between groups of atoms. “These can’t yet be calculated from their amino acid sequences using first principles,” Roman says. “And while CTCF is a relatively short protein, cohesin is a complex of five subunits which it can exchange – allowing for many configurations and many more interactions.” At the start of the project in 2023, it looked like a brute-force experimental approach was the only way to go. But then AlphaFold came along. “AlphaFold is an algorithm, based on artificial intelligence, that can predict the structure of proteins from their sequence,” Roman says. “It completely changed our approach. We could now make predictions about what our proteins would look like, and what may happen to them when they meet. Instead of experimentally testing all possible configurations of CTCF and cohesin, we could ask the computer to predict likely interactions and test only those.” Project storage allows multiple users from various departments to share resource-intensive installations on DelftBlue. Powerful computer AlphaFold did come with the new challenge of requiring a powerful computer to run on – a lot of disk space to store the 5 Tb database it browses and a lot of computing power to run the algorithm. “It is almost impossible to run AlphaFold on a laptop or desktop and we lacked the expertise to build our own cluster. So, our second lucky break was that DelftBlue came online.” It also turned out that another researcher, Marcel van der Broek from Biotechnology, had already installed AlphaFold on DelftBlue. Rather than having every user install their own version, the DelftBlue administrative team setup what is now called project storage. “It allows multiple users, from various departments, to share such resource-intensive installations. Marcel and I were the first to make use of this feature for AlphaFold.” Cluster newbie Roman was still pretty much new to using a computational cluster when he started with DelftBlue, but he quickly found his way. “DelftBlue has an intuitive interface, great documentation, and a very knowledgeable and helpful support team,” he says. “You can basically figure it out from there.” He avoided running into the 5-day runtime limit for jobs submitted by breaking up the CTCF protein into smaller fragments. “Still, it would be nice for DelftBlue to have even bigger GPUs or to be able to use multiple GPUs at the same time, especially for tasks involving artificial intelligence.” One thing he really appreciated was that the DelftBlue administrators were very open to users trying out new things. “Their attitude of ‘seems to be useful, we’ll give you the resources you need’ has been very helpful,” Roman says. And when he ventured into new DelftBlue territory, such as when he submitted hundreds of jobs at once, the administrators were just as curious about how the cluster’s performance. “Turns out the job allocation scheduler handled it well.” Testing everything purely experimentally would have taken us at least three times as long. Two likely interactions Using AlphaFold and DelftBlue, Roman was able to pre-screen hundreds of different combinations. In this way, two likely interactions were identified. These were validated in laboratory experiments in which he looked for how these two fragments of the CTCF protein affected the DNA looping process. “Even though any such fragment can nowadays be quite easily purified from cells, performing the necessary experiments still took about 6 months. All in all, this project took us a year from start to finish, whereas testing everything purely experimentally would have taken us at least three times as long.” Having obtained a Schmidt Science Fellowship, Roman will next undertake a postdoc in at the University of Washington in Seattle, delving much further into AlphaFold and protein structure prediction. “My time at TU Delft and with DelftBlue has been a fantastic preparation for this next step in my career. And I hope the administrators of the supercomputer over there will be just as open-minded and helpful.” Rendering of a CTCF fragment bound to a cohesin-subunit.