Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions
Journal Article
·
· Computer Methods in Applied Mechanics and Engineering
Not Available
- Sponsoring Organization:
- USDOE
- OSTI ID:
- 2293639
- Journal Information:
- Computer Methods in Applied Mechanics and Engineering, Journal Name: Computer Methods in Applied Mechanics and Engineering Journal Issue: C Vol. 422; ISSN 0045-7825
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- Netherlands
- Language:
- English
Similar Records
Development of interpretable, data-driven plasticity models with symbolic regression
Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping
Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression
Journal Article
·
2021
· Computers and Structures
·
OSTI ID:1828229
+3 more
Discovering Precise Temporal Patterns in Large-Scale Neural Recordings through Robust and Interpretable Time Warping
Journal Article
·
2019
· Neuron
·
OSTI ID:1761538
+11 more
Uncertainty Quantification for Interpretable Constitutive Models using Genetic Programming based Symbolic Regression
Conference
·
2023
·
OSTI ID:2430652
+4 more