Published May 16, 2023 | Version v1
Dataset Open

Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction - gaussian_fit_parameters - sample untreated_162nm

Authors/Creators

  • 1. Department of Materials Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA
  • 2. Department of Materials Science and Engineering, University of California, Berkeley, CA 94720, USA
  • 3. Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA 18015, USA
  • 4. Department of Mechanical Engineering, Drexel University, Philedelphia, PA 19104, USA
  • 5. Department of Materials Science and Nanoengineering, Rice University, Houston, TX 77005, USA

Description

RHEED raw dataset and Gaussia fitting parameter dataset for sample "untreated_162nm" in work "Predicting Pulsed Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction."

Files

Files (17.2 GB)

Name Size
md5:a4434396f8a90ffc2f699d09e3c57bbe
17.2 GB Download