Sort by
Refine Your Search
-
structure-property relationships for polymers has been largely limited due to the inability to systematically control polymer sequence especially under real-world conditions where process history
-
are manufactured on one production line, the control-process-quality relationships are not fully understood based on quantitative data analysis. Understanding the control-process-quality relationships will enable
-
novel materials. The specific in situ secondary processing mechanisms of interest include controlled heating and/or cooling, deformation, or magnetic effects to prioritize selected phase transformations
-
process control applications in the nanomanufacturing and semiconductor industries. Our research focuses on the miniaturization of SPM sensing mechanisms (e.g., active cantilevers), high-speed MEMS scanning
-
processes that we cannot measure with off the shelf instrumentation. This NRC fellowship will explore the emerging field of acoustofluidics and its possible applications on acoustic absorption spectroscopy
-
through recombinant DNA technology in a variety of mammalian and non-mammalian hosts. Consistent control of the production process and resulting product are critical to ensuring their safety and efficacy
-
are developing microfluidics to measure material properties and structure. Protein, polymer and surfactant solutions and suspensions and emulsions are being characterized using computer-controlled microfluidic
-
powders and the final parts, a lack of understanding of the process physics and methods to control them, poor surface quality and part accuracy, and limitations in fabrication speed or throughput. We
-
an understanding of the basic properties of atom-based solid-state and nanoscale systems, optics on the nanoscale (nano-optics) quantum processes in atom-scale and nanoscale systems with optical fields, and quantum
-
of the assay. Assay measurements should incorporate the use of process controls, rigorous statistical analysis techniques and assay robustness evaluations appropriate for the design of interlaboratory studies