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Research Tools TU Delft Reactor Institute

Research with use of the reactor and other related instruments offer a wide array of possibilities to research materials. From molecules, polymers, proteins, cells up till artefacts. We specialize in the use of neutrons, positrons, gamma rays in our advanced scientific instrumentation, to generate a leading edge in material research for academia and industry. Research tools User Office Vacancies and Projects News Gallery FISH FISH Thermal and Cold FISH are two versatile neutron imaging instruments, offering complementary capabilities to visualize and reveal internal structures in materials, in both 2D and 3D, including in-situ conditions. PEARL PEARL is a neutron powder diffractometer with the capability to resolve crystal and magnetic structures under extreme environmental conditions. ROG The neutron reflectometer (ROG) measures the way neutrons are reflected by flat surfaces and interfaces with the aim to provide information about the thickness, composition and roughness of these layered structures. SANS The classical version of small-angle neutron scattering - instrument under construction. SESANS Spin-echo small-angle neutron scattering: is a new technique for using small-angle neutron scattering to study the structure of systems on length scales of 10 nm to 15 um in real space. INAA A multi-element analysis capacity for 67 elements of 4500 samples per year, ISO 17025 compliant and non-destructive. Neutron Depth Profiling Neutron Depth Profiling measures the depth profile of selected trace element concentrations. Ion implanters, sputtering equipment and gas desorption set-ups are also available. Positron Facilities The world's most intense positron beam (4x10⁸ s⁻¹ at the sample) is guided to a 2D-ACAR arrangement that allows for electron momentum distribution studies. In parallel a 22Na source is in use for Doppler broadening measurements to study defects and vacancies. Mössbauer laboratoria The Mössbauer effect allows one to investigate the electronic environment, that is the chemical state, of various elements. Widely applied for development of catalysts. The User Office is there to assist all users of the reactor facilities. We aim to help with all organisational questions and if we can’t be of assistance we can find the correct person to contact. Please also check our FAQ/QA tab for quick answers! For questions with a scientific or technical background the instrument scientist or the head of the instrument group can be contacted directly. As User Office, we are also the main entry for proposals and experimental reports. Proposal application Contact information FAQ/QA Proposal application With the blue button below a proposal application form will be opened in a new browser. You will get an automatic message after submitting and will be able to download your application. Before pressing the blue button please have the following information available: Contact information, including co-proposers What kind of use (industry, scientific, student training) Instrument of choice including sample environment requests Sample information for safety assessment A document (pdf, word) of max. 2 pages containing: Title Abstract Proposed experiment Justification of beamtime References Apply Procedure after application: Proposals will be reviewed as soon as possible by the dedicated instrument team for technical feasibility. In case of oversubscription of the available beamtime a local university committee will decide on who will receive the beamtime (not the instrument team) . When the beamtime is awarded the instrument team will contact you as soon as possible to plan the experiment. When the beamtime is not awarded you will get a message from the User Office as soon as possible. We are aiming for a fair and swift procedure. After the successful beamtime we expect a short experimental report within 4 months, the format will be given to you by the User Office. Contact information For organisational questions N.D. Banga (Nicole) +31 (0)15 2782995 N.D.Banga@tudelft.nl Room: 2.01.290 For Technical Questions dr.ing. J. Plomp (Jeroen) +31 (0)15 2787109 j.plomp@tudelft.nl Room: 2.01.260 Address information General link to route FAQ/QA How can I apply for beamtime? Please go to the proposal application tab and fill out the online form What is the service for industry users? This is up to the industry users and can range from just access to the instrument to full service measurement including analysis and reporting. What is the service for scientific users? Scientific users may receive comprehensive support from the instrument team throughout the experiment, including assistance with data analysis if needed. What are the costs for measuring For scientific use with the intention to publish the results there is no charge. For industry use or scientific use with an industry partner where there is no public IP we are obligated to ask for a fee in the range of 5.000 euro per day (exact amount depending on the service). What if my samples are radioactive already? These samples may need a special transport to our institute and a special internal permit needs to be arranged. Upon arrival the sample needs to be checked by our radiation protection team to determine if all is according to the internal permit. Can I get my samples back after beamtime? Yes, in most cases samples are only slightly activated and ranging from a day to few days to cool down. Some may need a longer time to cooldown. One can estimate the decay time for their own samples on the following website: https://www.ncnr.nist.gov/resources/activation/ Neutron flux for each instrument can be found on their respective website. Samples are always checked for activation before release. Can my samples be disposed after beamtime? Yes usually the chemical sample can be disposed through the standard procedures in our labs. Do I need to come over? This depends on the experimental requirement of the user. For simpler setups, it may be feasible to ship the samples to us, in agreement with the instrument team. However, for more complex sample preparations and / or experimental conditions it is recommended to be present during the beamtime. How long does it take from proposal to measurement? We aim for a fair, swift and flexible procedure but it all depends on the number of applications, complexity of experiment and reactor program. In the best case one could do the experiment within a week but sometimes it can take months. Is the data made public? In case of industry use and paid beamtime the data is protected and will not be made public. In other cases we will make the data openly available, on request, after one year after the reduced data transfer to the user. Is it open access publishing? Open access is preferred but not mandatory. Do I get reduced data? In principle the standard procedure is that the user will receive the reduced data only, however is able to get the raw data on request. Can I get help with data analysis? Yes, data analysis support is available, however the level of assistance often depends on the expertise of the instrument team. Is there a chemical lab available/sample preparation? Yes, a dedicated chemical laboratory is available in the experimental (cold guide) hall. Simple sample preparation procedures can be carried out there. For more complicated procedures please discuss the possibilities with the instrument team beforehand. Are there other measuring techniques available like XRD? Yes, its possible to utilize other techniques available in support of the neutron measurements carried out. For example, XRD, solid state NMR, Mossbauer, DLS etc. However, this may be considered a collaborative endeavour and should be discussed with the instrument team prior to proposal submission. Is there a reimbursement for travel/stay? Unfortunately the current funding mechanism is such that we are not able to assist with funding for travel and accommodation. What is the address? https://www.tudelft.nl/tnw/zakelijk/faciliteiten/tu-delft-reactor-institute/contact-organisatie-1 Please check out our webpage Working at for vacancies TU Delft launches future proof research reactor with cold neutron source Gallery Metal sandwich AvLeeuwenhoek microscope FISH root animation FISH statue animation FISH reference sample FISH cooling channels animation FISH watch animation Contact information User office +31 15 27 82995 useroffice-rid@tudelft.nl Dr. ing. J. Plomp +31 (0)6 34 57 56 24 j.plomp@tudelft.nl

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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 .