Sort by
Refine Your Search
-
Measurement Science to Advance Understanding of Chemical Equilibria in Natural Waters NIST only participates in the February and August reviews. NIST has a long-standing program in electroanalytical
-
industries and research sectors. Our research group is interdisciplinary, drawing from diverse previous research experiences including wet-lab and computational work. Interested candidates are invited to reach
-
computational methods (such as prior probability or creating a validated material-specific mass spectral library) and experimental methods (such as the use of isotopic labeling methods or orthogonal information
-
. This computational approach, incorporating quantum mechanics, can help materials research by a) directly simulating and interpreting experiments, b) establishing relationships between material structure and properties
-
distribution of the monomers with the aforementioned analysis serving as validation. Proposals will focus on either the synthetic or computational approaches to these challenges but should address
-
molecular motors and RNA-folding. In a parallel effort, we significantly enhanced the biophysical capabilities of an atomic force microscope (AFM). Specifically, we achieved sub-pN force precision and
-
scaled up to handle large numbers of samples in massively parallel, low-cost analysis systems. Before such systems can be realized, the electromagnetic response of biochemical samples must be understood in
-
, which can be leveraged to monitor nanomaterial size distributions and corresponding chemical compositions during controlled transformations in complex media. Reference Pettibone JM, et al: ACS Nano 7
-
, analysis (liquid and/or gas chromatograph-mass spectroscopy Fire Research 1. developing, using, and deploying multiscale fire testing and computational tools to reduce the fire hazard of building content
-
include broadband, on-wafer microwave measurements up to 220 GHz, nonlinear measurements of mixing products and intermodulation, thermo-reflectance measurements for mapping chip temperature distributions