Rydberg states of alkali atoms are highly sensitive to electromagnetic radiation in the GHz-to-THz regime because their transitions have large electric dipole moments. Consequently, environmental blackbody radiation (BBR) can couple Rydberg states together at ?s timescales. Here, we track the BBR-induced transfer of a prepared Rydberg state to its neighbors and use the evolution of these state populations to characterize the BBR field at the relevant wavelengths, primarily at 130 GHz.

This Ruby module is an example implementation of the decision rules for consensus from the paper "Measuring social consensus."

Sim-PROCESD is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Sim-PROCESD provides class definitions for manufacturing devices/components that can be configured by the user to model various real-world manufacturing systems. The classes are designed to be extensible so the user can change their behavior to model more complex processes.

This dataset contains the simulated data of a ground-signal-ground on-wafer probe landed on a microstrip variable-impedance device (DUT) with a 775 micron (um) microstrip line neighboring the device and without any line neighboring the device. Two variables were investigated in the data: the impedance of the DUT and the X,Y location of the neighboring line. The reflection coefficient of the probe was recorded from 1 Gigahertz (GHz) to 150 GHz.

A simple example of the implementation and use of the ARIA dialog API.

This repository contains the dataset used in the manuscript "Inter-tool analysis of a NIST dataset for assessing baseline nucleic acid sequence screening". NIST constructed the test dataset based on the current screening recommendations from HHS. The dataset is a FASTA formatted file with blinded numerical sequence headers. The dataset was sent to sequence screening tool developers for initial testing and to obtain feedback about its utility for assessing baseline sequence screening.

This is the data underlying "Sub-Doppler spectroscopy of quantum systems through nanophotonic spectral translation of electro-optic light" https://arxiv.org/abs/2309.16069 which is to be published in Nature Photonics.

NIST self-verification Charpy specimens, such as from lot LL-198 here considered, are used by companies around the world to perform an indirect verification of a Charpy impact machine in accordance with with ASTM E23 and ISO 148-2. Customers test between 5 and 7 samples and compare their average value with the reference absorbed energy from the NIST certification tests, provided in a certificate. If within the specified limits (which depend on the reference test standard), their verification can be considered successful.

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee Bechtold, Donald G. Archer, Ian R.

Clean energy technologies (e.g., solar, wind, EVs) are vital in our transition to a decarbonized energy grid. Many clean energy technologies rely on critical materials that are prone to supply chain risks. As the demand for clean energy technologies grows, so will the demand for these critical materials. Anticipating critical material market dynamics becomes crucial for change makers in developing effective strategies to scale up the implementation of clean energy generating technologies.