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using a data-driven landscape model. PNAS 109,19262-19267 Bhadriraju K, et al. (2016) Large-scale time-lapse microscopy of Oct4 expression in human embryonic stem cell colonies. Stem Cell Research (17
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are interested in project ideas that focus on the development and application of measurement techniques, physics-based or data-driven models, and standards to better understand and improve metals-based AM. Our AM
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driven self-assembly in an effort to elucidate the underlying thermodynamic and kinetic effects that control the speed, yield, and complexity of self-assembled nanostructures. Our research effort involves
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identification of spectral features by computer vision and machine learning. Our computational methods development has three primary goals. The first goal is continued support of expert-driven biomolecular
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experiments and datasets for model validation of multi-phase computation fluid dynamics (CFD), discrete element method (DEM), or data-driven modelling. Measurement of defect types and populations using micro- x