Graph neural networks (GNN) have been shown to provide substantial performance improvements for atomistic material representation and modeling compared with descriptor-based machine learning models. While most existing GNN models for atomistic predictions are based on atomic distance information, they do not explicitly incorporate bond angles, which are critical for distinguishing many atomic structures. Furthermore, many material properties are known to be sensitive to slight changes in bond angles.

Delta-sigma algorithms are used to determine the desired sequence of quantum-based voltage pulses used by the Josephson Arbitrary Waveform Synthesizer (JAWS) to create calculable voltage waveforms. This data set contains a comparison (Fig 1. of the CPEM 2024 abstract) of a 1 kHz pulse pattern with rms amplitude of 2 mV without post-processing and with post-processing which modifies the problematic pulse pattern to remove incorrect pulses at the 0.75 ms pattern wrap point.

Dataset for multiple publishable figures in the paper entitled "Stability Study of ac Voltage Source using Josephson Voltage Standards"in CPEM 2024 abstract

Rydberg atom-based receivers of modulated radio frequency (RF) fields are promising systems for measurements. These systems are self-calibrating, widely tunable, nearly transparent to RF fields, and can be electrically small. However, the instantaneous bandwidth of current Rydberg atom receivers is typically less than 1 MHz.

Dataset for multiple publishable figures in the paper entitled "Digitizer Linearity Measurement with a Josephson Arbitrary Waveform Synthesizer"in CPEM 2024 abstract

Data sets for measuring VHF detector linearity using a Josephson Arbitrary Waveform Synthesizer (JAWS). Two instruments are measured: an RF power sensor and a fast ADC. The VHF-JAWS source consists of a chip with 12,810~Josephson junctions located in a cryocooler and driven to produce quantum-based ac waveforms at frequencies up to 50.05~MHz and power up to -19~dBm. We first confirm that the device is operating correctly by measuring the dc offset quantum-locking range (Fig. 2) and then measure the system output power with an RF power sensor (Fig.

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.

data published in paper "On-Wafer Device Characterization Including Uncertainty Estimates to 1.0 THz"This dataset contains the calibrated scattering parameters (S-parameters) of a thru that was not used in calibration, and the simulated and calibrated S-parameters for series and shunt capacitors for both technology 1 and technology 2. It also contains the simulated and extracted capacitance from these S-parameters of the series and shunt capacitors.

This dataset consists of sets of images corresponding to the data sets 1-8 described in Table 1 in the manuscript "Establishing a Reference Focal Plane Using Machine Learning and Beads for Brightfield Imaging".Data sets from A2K contain two .zip folders: one with the .tiff images and one with the corresponding .txt file with live and dead cell concentration enumeration.

Dataset for multiple publishable figures in the paper entitled "Leakage Current Pathways in Josephson Arbitrary Waveform Synthesizer Standards" to be submitted to CPEM 2024