Amgen Scholars: Announcements of Opportunity
Below are Announcements of Opportunity posted by Caltech faculty for the Amgen Scholars program.
Announcements of Opportunity are posted as they are received. Please check back regularly for new AO submissions! Remember: This is just one way that you can go about identifying a suitable project and/or mentor. For additional tips on identifying a mentor click here.
Please remember:
- Students pursuing Amgen must be U.S. citizens, U.S. permanent residents, or students with DACA status.
- Students pursuing Amgen must complete the 10-week program from June 21 - August 25, 2023. Students must commit to these dates. No exceptions will be made.
- Accepted students must live in provided Caltech housing.
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| Project: | Using Machine Learning to Explore Material Failure | ||||||||
| Disciplines: | Mechanical Engineering, Materials Science | ||||||||
| Mentor: |
Brandon Runnels,
Associate Professor, (EAS),
brunnels@uccs.edu, |
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| Mentor URL: | solids.uccs.edu (opens in new window) | ||||||||
| AO Contact: | Interest survey info below., | ||||||||
| Background: |
NOTE: This project is being offered by a Caltech alum and is open only to Caltech students. The project will be conducted at University of Colorado, Colorado Springs, in Colorado Springs, Colorado. Interested applicants should fill out an interest survey no later than February 1 at this site: https://www.solids.group/surf/. Failure of structural materials in extreme environments can lead to catastrophic consequences, but failure initiation remains poorly understood. In this project, we will use computer vision technology to recognize materials that are vulnerable to damage initiation. This is an opportunity to learn about the rapidly expanding world of machine learning while gaining knowledge about materials and mechanics. |
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| Description: | The student will apply the ML method to look at the nucleation of failure sites in microstructure. The project is computational in nature, and will involve C++ and python programming in a linux high performance computing environment. | ||||||||
| References: |
https://doi.org/10.1016/j.scriptamat.2020.04.042 https://doi.org/10.1088/1361-651X/ab47a0 https://doi.org/10.1016/j.actamat.2021.117149 https://solids.uccs.edu/alamo// |
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| Student Requirements: | Experience with the above-mentioned computational environment is beneficial, but not mandatory. For students with minimal computational experience, this can be an opportunity to learn. The student should have a basic knowledge of materials science (crystal structure, dislocations, etc.) and mechanics (stress + strain, etc.), commensurate with their academic progress. | ||||||||
| Programs: |
This AO can be done under the following programs:
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