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phenomena Create new reduced-order models and submodels related to fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use modeling tools such as computational fluid
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-sensitive catalyst materials Experience with the design and construction of batch and flow reactors for catalysis Proficiency with analytical techniques such as X-ray absorption spectroscopy, nuclear magnetic
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engineering and nuclear-chemical engineering systems Create new reduced-order models and submodels related to the fluid flow, heat transfer, thermochemistry, and electrochemistry in multiphase systems Use
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, energy engineering or a closely related discipline. Experience in modeling & simulation of three-dimensional multiphase turbulent reacting flow applications using 3-D CFD codes (e.g., CONVERGE, OpenFOAM
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models that combine T&D objectives (e.g., power flow limits, resilience) with aggregator/market participation; evaluate how microgrids and VPPs can offer services while ensuring reliable local operation
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discipline. Experience with modeling three-dimensional multiphase turbulent reacting flow applications using CFD codes (e.g., CONVERGE, OpenFOAM, etc.). Experience with multi-dimensional CFD internal
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chain and materials flow analysis, and agent-based modeling. The candidate would build on established modeling tools at Argonne in each of the modeling/analysis areas, but there may be opportunities
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, and optimize for energy efficiency HPC applications and high performance data stream analytics workloads. Use of novel accelerator designs, and automatic methods to model/predict how performance would
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to maintain a current knowledge of the latest development in the field and will also participate in maintaining technical reports and other documents associated with the project, along with reports
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the reconstruction methods currently in use. The successful candidate will contribute to these advancements, developing new computational methods to enhance the imaging of dynamic processes. This work