Presentation
Cr Island Rising from an Iron Sea: Atomic-Scale Structure of an Iron (Fe)-Chromium (Cr) Alloy Post-Irradiation
SessionArt of HPC Gallery
DescriptionIn this 3D visualization, we delve into the atomic-scale structure of an Iron (Fe)-Chromium (Cr) alloy post-irradiation, a vital material for nuclear energy applications. The image contrasts Fe atoms in black with Cr atoms represented as vibrant spheres, each hue indicating the specific cluster to which the Cr atom belongs.
Captured through atom probe tomography (APT), this snapshot zooms into a 3-nanometer-thick slice from a sample measuring roughly 80 × 80 × 200 nanometers. The slice encompasses 447,418 atoms, among which approximately 54,000 are Cr atoms. The Fe-Cr alloy, irradiated to 1.8 displacements per atom (dpa) at 290 degrees Celsius at Idaho National Laboratory’s Advanced Test Reactor, reveals Cr atoms clustering due to irradiation effects, a phenomenon that significantly influences the alloy's physical and mechanical properties.
Leveraging the power of high performance computing (HPC) and advanced deep learning, this image-based workflow identifies and characterizes Cr clusters with unprecedented precision. The HPC workflow surpasses manual methods, offering enhanced consistency, speed, scalability, and reproducibility in APT data analysis. Each cluster is distinctly color-coded, while Fe atoms create the black backdrop, uncovering the intricate, hidden structure through the marriage of data, computation, and design.
Visualizing real experimental data is essential to understanding complex atomic-scale phenomena that are otherwise invisible. This image is not a simulation, it is reconstructed from actual APT measurements, revealing the spatial distribution of atoms. By rendering these data visually, we can more effectively interpret clustering behavior, validate computational methods, and communicate scientific insights.
Captured through atom probe tomography (APT), this snapshot zooms into a 3-nanometer-thick slice from a sample measuring roughly 80 × 80 × 200 nanometers. The slice encompasses 447,418 atoms, among which approximately 54,000 are Cr atoms. The Fe-Cr alloy, irradiated to 1.8 displacements per atom (dpa) at 290 degrees Celsius at Idaho National Laboratory’s Advanced Test Reactor, reveals Cr atoms clustering due to irradiation effects, a phenomenon that significantly influences the alloy's physical and mechanical properties.
Leveraging the power of high performance computing (HPC) and advanced deep learning, this image-based workflow identifies and characterizes Cr clusters with unprecedented precision. The HPC workflow surpasses manual methods, offering enhanced consistency, speed, scalability, and reproducibility in APT data analysis. Each cluster is distinctly color-coded, while Fe atoms create the black backdrop, uncovering the intricate, hidden structure through the marriage of data, computation, and design.
Visualizing real experimental data is essential to understanding complex atomic-scale phenomena that are otherwise invisible. This image is not a simulation, it is reconstructed from actual APT measurements, revealing the spatial distribution of atoms. By rendering these data visually, we can more effectively interpret clustering behavior, validate computational methods, and communicate scientific insights.
Event Type
Art of HPC
TimeTuesday, 18 November 20258:00am - 7:00pm CST
LocationArt of HPC - Plaza Lobby
Art of HPC