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-based materials/devices, bioelectronic microsystems, unconventional computing, liquid crystals and nanomaterials for applications such as thermal management, neural interfaces, energy harvesting and
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are being strengthened. Subject and project description This project is focused on the development of high-fidelity reacting flow models to investigate thermal runaway in battery cells, pack, modules, and
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integrate power-to-x and energy storage technologies, as well as leverage from existing infrastructure with state-of-the-art thermal power blocks, but also more innovative renewable technologies both on-site
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precision micromachining and 3D printing. Experimentally characterize cavitation dynamics, including mechanical, thermal, and chemical effects associated with bubble collapse. Contribute to the development
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thermal camera data as well as visual cameras and lidars. Expanding beyond our previous leading work on odometry, SLAM, and semantic segmentation using 2D and 4D radar data, with this project we wish
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at the Division of Chemical Physics is at the forefront of synchrotron-based operando investigations of defined model catalyst surfaces for energy conversion, both in thermal and electro catalysis. The operando
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applied to unstructured environments. Proven ability to design, implement, and evaluate experimental systems involving hardware and sensors. Experience with multi-modal sensing (e.g., RGB-D, thermal, LiDAR
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(tensile, shear, hardness, fatigue) of welded joints. Develop or refine numerical/thermal–mechanical models to understand material flow, heat generation, and defect formation in FSW and FSSW. Analyze data