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development for dynamics imaging. The primary goal of this project is to develop single-frame ptychography methods that eliminate the need for scanning, enabling fast imaging and the visualization of dynamic
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structural materials (both metals and ceramics), computational solid mechanics, and thermohydraulics. The successful candidate will develop automated frameworks for finite element analysis of high temperature
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heterostructures using Lorentz Transmission Electron Microscopy (LTEM). Within the group, we explore fundamental science governing the evolution of energy landscapes leading to emergent domain- and transport
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for stationary and transportation applications. The candidate will work in developing analytical techniques and software relevant to ongoing programs in water electrolysis for hydrogen production; interpreting
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for stationary and transportation applications. The candidate will work in developing analytical techniques and software relevant to ongoing projects in fuel cells for heavy-duty applications; interpreting
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position to develop and apply advanced analysis methods, including artificial intelligence and machine learning algorithms and approaches, for x-ray science and instruments. These methods will accelerate
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of mineral (i.e., silicate, carbonate, and oxide) surfaces during reaction with aqueous solutions. The specific research will focus on, but not limited to, evolution of interfacial structure and chemistry