CTenC is a Cartesian TENsor Calculus package for performing manipulations of tensor expressions using index notation in Mathematica. The package is designed and optimized for problems in engineering and material science, including solutions of field equations (Stokes, Laplace, etc.) and developing constitutive equations in tensor-based formalisms such as GENERIC. Functions are given for the manipulations of free and dummy indices.

This data set contains the spectral data associated with the collection of EC-SERS spectra using mainly a nontargeted drug identification approach, with several samples using a targeted fentanyl identification approach. The data set contains the replicate measurements and averaged Raman spectra used in the characterization of the analytes (drugs of abuse and adulterant compounds) to allow for forensic library formation. The data set also contains spectra of analytes collected at varying concentrations and additional fentanyl analog data collected using a targeted method.

This dataset consists of characterization of telechelic functional polyethylene oligomers, precursors, and resultant step-growth polyethylene with urethane-linkages between segments of different lengths. Polymer characterization data includes nuclear magnetic resonance (NMR) spectra, room-temperature and high-temperature size exclusion chromatography data and associated calibration curves, attenuated total reflection Fourier transform infrared (ATR-FTIR) spectra, transmission FTIR spectra with melting.

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.

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.

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 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.