… of plasma physics with machine learning techniques, DIFFER researchers developed a new ultrafast neural network model … in the fusion reactor up to 100.000 times faster than before: a vital tool to optimize the performance of future … at extreme temperatures to form helium and release clean energy. The behavior of the plasma is not easy to predict: …
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… Abstract: Seventy years ago, in his historic Atoms for Peace speech, President Eisenhower set forth a bold … reducing industrial emissions, and improving clean energy solutions. In the pursuit of sustainable energy, fusion research is progressing rapidly, offering the possibility of …
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… of a vapour cloud catching and redistributing the energy from the incoming plasma in the reactor. The work … indicates that liquid metal walls are a promising concept for future fusion reactors like DEMO. ITER fusion … With preparations for the ITER fusion project ongoing, some researchers are looking beyond it, to the first …
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… Wall material for fusion reactor survives hellish conditions Published on … withstand at least a year of full power operations, write researchers at DIFFER and ITER in Physica Scripta . The team … Magnum-PSI facility at the Dutch Institute for Fundamental Energy Research DIFFER in Eindhoven. Magnum-PSI is the only …
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… Materials Attend this seminar? Use the registration form to attend . Abstract : Advanced functional materials are at the core of chemistry and engineering research to address societal challenges related to health, energy, and sustainability. One common feature of many …
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… Researchers create nanoscale laser at room temperature … fit onto a computer chip. The results have great potential for the field of photonics, the science that investigates the generation, …
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… March 21, 2017 Silicon nanocrystals are promising materials for optical, electronic, medical and renewable energy applications. However, different synthesis techniques … This tunable behavior makes them promising materials for applications. A big challenge is controlling the exact …
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… Charging up: a plasma electrode for high throughput sustainable electrochemistry Published on September 01, 2020 DIFFER is going to research a novel plasma-aided electrochemical reactor … efficient medium to channel electrical power into chemical energy! DIFFER researcher Floran Peeters: “In this project, …
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… Tijs Wijkamp’s answer is: simply by looking! During his PhD research at the TU/e and DIFFER fusion groups, he used … is emitted by the particles in the exhaust. By combining information from multiple cameras, we can deduce what … my research, I’ve developed a new method to estimate the energy and location of runaway electrons using camera images …
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… PFMC-17 Conference on Plasma Facing Materials The performances of fusion devices and of future fusion power … is jointly organized by the Dutch Institute for Fundamental Energy Research (DIFFER) and Eindhoven University of Technology …
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… The ITPA is an international framework organised by ITER for coordinating fusion research activities of the highest priority for preparing … fusion process at the heart of the sun to generate clean energy from abundant resources. In a fusion reactor, careful …
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… Seminar cancelled: Controversies and energy transitions: the value of social conflict Attend this seminar? Use the registration form to attend . > This seminar will be rescheduled in 2020 … issues. Rather than seeing such conflicts as a barrier for implementation, conflict can also be seen as a value in …
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… Computational Sciences (ACOS) conference 2021 The Dutch Research Council (NWO) and the Center for Computational Energy Research (CCER) are organizing the annual Applied …
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… Seminar: Modelling energy dissipation for molecules at surfaces Attend this seminar? Use the registration form to attend . In the dawning age of sustainability, …
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… Launch Catalyst Database Designed to Accelerate Clean Energy Transition "In a bid to accelerate the transition to … results from a collaboration with Meta’s Fundamental AI Research (FAIR) team, and the University of Toronto (UofT)." "To really crack the code for material discovery, AI models need to be trained on a …
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