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, (2) interpretation of experimental spectra, (3) development of semi-empirical methods, (4) studies of reactivity indices, (5) computational electrochemistry, and (6) chemical informatics. The explosion
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generation magnetic data storage. Research projects will include using X ray and neutron scattering to characterize the fidelity of the block copolymer structure to the template and computer simulations of
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., biomarkers, metabolites) must be evaluated using digital twins of breath device prototypes. Our digital twins are based on simulations using computational fluid dynamics (CFD) and computational fluid and
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computed tomography, microscale and nanoscale structure and composition determined by scanning-electron and transmission-electron microscopy, and modeling the effects of microscale and nanoscale structure
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Information Technology Laboratory, Applied and Computational Mathematics Division NIST only participates in the February and August reviews. Machine Learning (ML) and artificial intelligence (AI
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scattering techniques, including light scattering, we are developing a program to take a fresh look at a variety of complex fluids known to be altered by shear, particularly those that exhibit shear-induced
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large program to develop detectors that operate at temperatures between 4 Kelvin and 50 milliKelvin. The adoption of these detectors in real-world applications depends critically on the availability
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structural techniques for probing the interface, such as SEIRAS and STM, with computational methods to develop new electrochemical models. The computational work focuses on combining DFT methods
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Material Measurement Laboratory, Materials Measurement Science Division/Brookhaven Lab NIST only participates in the February and August reviews. This postdoctoral fellowship aims to study the relationship of structure and function in chemical and material systems by the integration of...
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of the constraints on sequencing (read length, depth), and informatics (e.g., database composition, algorithm biases). Proposals should address these challenges with strategies to evaluate the metagenomic