1 to 10 of 39 Results
Das, Sree Sourav, 2025, "High thermoelectric power factor in Ni-Fe alloy for active cooling applications", https://doi.org/10.18130/V3/AOSTG4, University of Virginia Dataverse, V1
Data as a part of data sharing for journal publication |
Jan 8, 2025
Hu, Xiao, 2024, "A novel ex vivo protocol that mimics length and excitation changes of human muscles during walking induces force losses in EDL but not in soleus of mdx mice", https://doi.org/10.18130/V3/WTXZJI, University of Virginia Dataverse, V3
This is the dataset underlying the experiments that examined the extent of force loss induced by the ex vivo gait mimicking protocol and compared the force loss to that from a typical eccentric contraction protocol (Petrof, et al. PNAS. 1993; 90(8): 3710-3714) in soleus and exten... |
Jan 7, 2025 - Laboratory for Astrophysics & Surface Physics
Jäggi, Noah; Dukes, Catherine A., 2025, "Replication Data for: Magnesium sulfide powder analyzed by XPS", https://doi.org/10.18130/V3/ZMRE0S, University of Virginia Dataverse, V1
From manuscript: "Survey and high-resolution (Mg 1s, Mg 2p, S 2p) X-ray photoelectron spectra of as-received magnesium sulfide powder (99.9%) are presented, including surface contaminants that originate from exposure to atmosphere, (C 1s, O 1s). Minor impurities derived from samp... |
Dec 20, 2024
Price, Richard, 2024, "MRIs for: Focused Ultrasound-Microbubble Treatment Arrests the Growth and Formation of Cerebral Cavernous Malformations", https://doi.org/10.18130/V3/SAVMVD, University of Virginia Dataverse, V1
Cerebral cavernous malformations (CCMs) are vascular lesions within the central nervous system that can cause debilitating neurological symptoms. Currently, surgical excision and stereotactic radiosurgery, the primary treatment options, can pose significant risks to some patients... |
Oct 30, 2024
Timalsina, Bikash, 2024, "Neuroevolution machine learning potential to study high temperature deformation of entropy-stabilized oxide MgNiCoCuZnO5", https://doi.org/10.18130/V3/ZHNNSU, University of Virginia Dataverse, V1
The dataset consists of the findings for neuroevolution machine learning interatomic potential for entropy-stabilized oxide MgCoNiCuZnO5. Publication: Bikash Timalsina, Huy Gia Nguyen, Keivan Esfarjani. Neuroevolution machine learning potential to study high-temperature deformati... |
Oct 11, 2024
Nayeb Sadeghi, Safoura, 2024, "ALADYN-THERMACOD", https://doi.org/10.18130/V3/XAYUKS, University of Virginia Dataverse, V1
This dataset includes THERMACOD, a part of the Anharmonic Lattice Dynamics (ALADYN) suite of codes. THERMACOD is an open-source software tool for ab initio calculations of phonon thermal transport in crystalline bulk materials. It solves the phonon Boltzmann transport equation ei... |
Oct 4, 2024 - Laboratory for Astrophysics & Surface Physics
Stelmach, Kamil, 2024, "Search for Chirality in Hydrogenated Magnesium Nanosilicates: A DFT and TD-DFT Investigation", https://doi.org/10.18130/V3/AEANWV, University of Virginia Dataverse, V1
The formation of silicate grains in the interstellar medium (ISM), especially those containing chiral surfaces like clinopyroxenes, is poorly understood. Moreover, silicate interactions with various forms of hydrogen – proton (H+), neutral H (HI), and molecular hydrogen (H2) – ar... |
Oct 3, 2024 - Laboratory for Astrophysics & Surface Physics
LASP, 2024, "NASA 2014 Solar System Workings Award", https://doi.org/10.18130/V3/NGVF8W, University of Virginia Dataverse, V1
Space processing of asteroidal surfaces and the formation of new chemical species at Vesta and Ceres. |
Sep 20, 2024 - Department of Materials Science & Engineering
Esfarjani, Keivan, 2024, "Germanium force constants extraction by FOCEX-ver8.8-060", https://doi.org/10.18130/V3/MVKFQ7, University of Virginia Dataverse, V1
The compressed file ge-060-tar.gz contains the inputs to and the outputs from the code focus version 8.8 to generate force constants of 2nd and 3rd rank for Germanium |
Aug 22, 2024 - Ihlefeld Research Group
Lenox, Megan K.; Skidmore, Chloe H.; Salanova, Alejandro; Maria, Jon-Paul; Ihlefeld, Jon F., 2024, "Temperature Dependent Lattice Parameters and Coefficient of Thermal Expansion for Tantalum Nitride", https://doi.org/10.18130/V3/BUWWQB, University of Virginia Dataverse, V1, UNF:6:YE4+00QsgpPSZKFDN2vBSg== [fileUNF]
This dataset contains Rietveld refined lattice parameters for hexagonal tantalum nitride. The tantalum nitride powder was sourced from Thermo Scientific CAS 12033-62-4. X-Ray diffraction data was collected using a Malvern Panalytical Empyrean II X-Ray diffractometer with copper K... |
