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: | Machine learning assistant fracture mechanics and fracture resistant material design | ||||||||
| Disciplines: | Mechanical Engineering, Civil Engineering, Aerospace Engineering | ||||||||
| Mentor: |
Vinamra Agrawal,
Assistant Professor, (EAS),
vza0013@auburn.edu, |
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| Mentor URL: | https://aub.ie/mml (opens in new window) | ||||||||
| Background: |
NOTE: This project is being offered by a Caltech alum and is open only to Caltech students. The project will be conducted at Auburn University in Auburn, Alabama. Failure due to fracture is observed in aerospace, defense and infrastructure industries. Computational modeling of fracture processes can be very intensive. In addition, designing fracture resistant structures requires an iterative process of designing, testing and optimizing. Machine learning (ML) frameworks can help accelerate the process and reduce computational costs. This work leverages ML techniques to design and predict fracture performance of materials. |
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| Description: | The student involved in this work will use graph neural networks, transfer learning, and generative adversarial networks to predict fracture performance and design fracture resistant materials. The student will train the networks using data generated using open-source finite element codes. | ||||||||
| References: | Basics of neural networks and deep learning can be found here: http://neuralnetworksanddeeplearning.com/ | ||||||||
| Student Requirements: | Some experience in programming (preferably Python) is required. Suggested courses: mechanics of materials. | ||||||||
| Programs: |
This AO can be done under the following programs:
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