Sort by
Refine Your Search
-
Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
-
RAP opportunity at National Institute of Standards and Technology NIST Mathematical Foundations for System Interoperability Location Information Technology Laboratory, Software and Systems
-
RAP opportunity at National Institute of Standards and Technology NIST Developing bioanalytical foundations for analysis in non-model systems Location Material Measurement Laboratory, Chemical
-
RAP opportunity at National Institute of Standards and Technology NIST Characterization of Interfaces and Interphases in Polymeric Material Systems Location Engineering Laboratory, Materials and
-
interactions, and phonon confinement effects. Therefore, it is important to understand phonon propagation in nanomaterial systems at multiple length and temporal scales for which we need a robust mathematical
-
disruptive events. More research is needed to understand the planning, protective, and recovery processes of its highly interdependent physical, social, and economic systems. In particular, advancements in
-
of this research is to develop new measurement capabilities for nuclear analytical techniques associated with the measurement of induced gamma ray emissions during thermal and cold neutron beam irradiation
-
characterize complex fluids and their interaction with other matters. However, measurements require interpretation that is aided by computational fluid dynamics (CFD) and computational fluid particle dynamics
-
systems, such as cells, engineered to sense and respond in programmed ways. Importantly, building these systems both requires and advances meaningful quantitation of the effects of environmental context and
-
NIST only participates in the February and August reviews. Methylation of CpG sites is an epigenetic modification and plays critical roles in many biological processes, including genomic imprinting