A5002419906- Machine Learning in Materials Science
- Additive Manufacturing Materials and Processes
- Microstructure and mechanical properties
- Advanced Materials Characterization Techniques
- Industrial Vision Systems and Defect Detection
- Force Microscopy Techniques and Applications
- Microstructure and Mechanical Properties of Steels
- Metal Alloys Wear and Properties
- Additive Manufacturing and 3D Printing Technologies
- Electron and X-Ray Spectroscopy Techniques
- High Entropy Alloys Studies
- Optical measurement and interference techniques
- Advanced ceramic materials synthesis
- Metal and Thin Film Mechanics
- Silicon Carbide Semiconductor Technologies
- Mineral Processing and Grinding
- Advanced Electron Microscopy Techniques and Applications
- Ion-surface interactions and analysis
- High-Velocity Impact and Material Behavior
- Advanced Surface Polishing Techniques
- Laser-Plasma Interactions and Diagnostics
- Thin-Film Transistor Technologies
- Algebraic and Geometric Analysis
- Image Processing Techniques and Applications
- Non-Destructive Testing Techniques
Carnegie Mellon University
2017-2021
University of California, Santa Barbara
2018-2021
Massachusetts Institute of Technology
1968
Abstract We apply a deep convolutional neural network segmentation model to enable novel automated microstructure applications for complex microstructures typically evaluated manually and subjectively. explore two tasks in an openly available ultrahigh carbon steel dataset: segmenting cementite particles the spheroidized matrix, larger fields of view featuring grain boundary carbide, particle particle-free denuded zone, Widmanstätten cementite. also demonstrate how combine these data-driven...
With the proliferation of grain boundary data in materials science from both experiments and simulations, tools are needed to explore five dimensional space boundaries visualize fit structure property relationships along arbitrary paths through this space. In work, we leverage a recently developed geodesic metric for global geometry datasets energy macroscopic geometry. It is found that 5D connectivity 388 Olmsted dataset can be visualized via dimensionality reduction 3D with high degree...
Journal Article 3D Characterization of a Novel CoNi-superalloy for Additive Manufacturing Get access Andrew Polonsky, Polonsky University California-Santa Barbara, Santa California, United States Search other works by this author on: Oxford Academic Google Scholar Toby Francis, Francis Kira Pusch, Pusch McLean Echlin, Echlin Aurelien Botman, Botman Thermo Fisher Scientific, Hillsboro, Oregon, Steven Randolph, Randolph Remco Geurts, Geurts Eindhoven, Noord-Brabant, Netherlands Jorge Filevich,...
Representation of materials data is an important challenge in property prediction. Current representations grain boundary structure-property relationships are limited to high symmetry paths through the 5-D space experimentally measurable crystallographic parameters. We develop a method visualize and fit properties along arbitrary 5-space that leverages recently developed octonion metric interpolate between boundaries shortest paths. First, we consider purely geometric problem dimensionality...
We introduce a microstructure informatics dataset focusing on complex, hierarchical structures found in single Ultrahigh carbon steel under range of heat treatments. Applying image representations from contemporary computer vision research to these microstructures, we discuss how both supervised and unsupervised machine learning techniques can be used yield insight into microstructural trends their relationship processing conditions. evaluate compare keypoint-based convolutional neural...
Journal Article TriBeam Tomography for 3D Data Acquisition Get access McLean Echlin, Echlin University California-Santa Barbara, San Francisco, California, United States Search other works by this author on: Oxford Academic Google Scholar Andrew Polonsky, Polonsky Toby Francis, Francis Will Lenthe, Lenthe Carnegie Mellon University, Pittsburgh, Pennsylvania, Mike Titus, Titus Purdue West Lafayette, Indiana, Alessandro Mottura, Mottura Birmingham Birmingham, England, Kingdom Chris Torbet,...