Uninterrupted access to electricity is critical to the safety and security of American households. More frequent and extreme emergency events increase outages across the country, disproportionately impacting vulnerable communities that experience the most frequent and longest outages, are most...
This dataset includes numerical simulation results obtained with the E3SMv2 model using the F2010 configuration (’‘compset’’) at the ne30pg2 horizonal resolution with 72 vertical grid layers in the atmosphere. All tunable parameters were set to their default values except the non-zero lower bound of...
This dataset includes numerical simulation results obtained with the E3SMv2 model using the F2010 configuration (’‘compset’’) at the ne30pg2 horizonal resolution with 72 vertical grid layers in the atmosphere. The simulations were nudged to the ERA-Interim reanalysis. Pairs of simulations were...
Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates...
This repository contains three datasets consisting of 20,000 randomly generated two-dimensional log-transmissivity field realizations over the Hanford Site's geometry, and the corresponding stationary saturated flow pressure field. These datasets were generated using the code hosted on https:/...
Simulated x-ray absorption spectra calculated with the FEFF code for various models of Cu incorporated into the iron oxide mineral hematite. The structures are drawn from publically available ab initio molecular dynamics simulations.
As energy prices rise and climate change brings more extreme and frequent days of heating and cooling, households must allocate more of their income to energy bills, increasing their energy burden. Many strategies are employed to alleviate high energy burden, such as weatherization, energy...
HDF5 file containing 10,000 hydraulic transmissivity inputs and the corresponding hydraulic pressure field outputs for a two-dimensional saturated flow model of the Hanford Site. The inputs are generated by sampling a 1,000-dimensional Kosambi-Karhunen-Loève (KKL) model of the transmissivity field...
CO2 Capture CFD (C3FD) dataset contains STAR-CCM+ simulations of a CO2-capturing solvent flowing across packing structures in a column. This dataset contains two parts. First part of the data consists of 50 2D and 50 3D simulations, each of which spans 500 timesteps. Each case has varying inlet...
Supporting data and code uploaded to DataHub for "How do the weather regimes drive wind speed and power production at the sub-seasonal to seasonal timescales over the CONUS?" Created by Ye Liu*, Sha Feng*, Yun Qian, Berg K Larry, Huilin Huang *POC: Ye Liu, Ye.Liu@pnnl.gov Sha Feng, sfeng@pnnl.gov --...
A trained neural net potential (NNP) was use to simulate shear in the [011] direction in Cu-Ni multilayers. We applied the NNP to a Monte Carlo scheme to generate parallel shear simulations, demonstrating the range of possible trajectories that can be obtained due to speedups provided by the NNP...
Cu-Ni bilayers either without defects (pristine) or with a single vacancy in the nickel layer at the interface (1-Ni-1), in the copper layer at the interface (1-Cu-1), in the central nickel layer (1-Ni-3), or in the central copper layer (1-Cu-3) were relaxed under the application of shear in the...
This dataset includes one baseline and three cybersecurity based scenarios utilizing the IEEE 9 Bus Model. This instantiation of the IEEE 9 model was built utilizing the OpalRT Simulator ePhasorsim module, with Bus 7 represented by hardware in the loop (HiL). The HiL was represented by two SEL351s...
ProxyTSPRD profiles are collected using NVIDIA Nsight Systems version 2020.3.2.6-87e152c and capture computational patterns from training deep learning-based time-series proxy-applications on four different levels: models (Long short-term Memory and Convolutional Neural Network), DL frameworks...
