Characterizing the complex deformation behavior of Tin using genetic programming to perform symbolic regression
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Los Alamos National Laboratory
This is the seminar I will present at WCCM conference highlighting our latest research work on incorporating genetic programming to obtain data-driven strength models for complex materials.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2586117
- Report Number(s):
- SAND2024-08735C; 1750290
- Country of Publication:
- United States
- Language:
- English
Similar Records
Establishing a data-driven deformation model for Tin using symbolic regression and genetic programming .
Developing a robust strength model using physically-informed genetic programming
Establishing a data-driven strength model for 𝜷-tin by performing symbolic regression using genetic programming
Conference
·
Thu Jul 01 00:00:00 EDT 2021
·
OSTI ID:1878275
Developing a robust strength model using physically-informed genetic programming
Journal Article
·
Thu Jun 12 20:00:00 EDT 2025
· Computational Materials Science
·
OSTI ID:2585659
Establishing a data-driven strength model for 𝜷-tin by performing symbolic regression using genetic programming
Conference
·
Thu Jun 01 00:00:00 EDT 2023
·
OSTI ID:2430874