2 papers
cond-mat.mtrl-sci2025
Identification of Empirical Constitutive Models for Age-Hardenable Aluminium Alloy and High-Chromium Martensitic Steel Using Symbolic Regression
Evgeniya Kabliman, Gabriel Kronberger
Process-structure-property relationships are fundamental in materials science and engineering and are key to the development of new and improved materials. Symbolic regression serv…
cs.NE2021
Extending a Physics-Based Constitutive Model using Genetic Programming
Gabriel Kronberger, Evgeniya Kabliman, Johannes Kronsteiner +1
In material science, models are derived to predict emergent material properties (e.g. elasticity, strength, conductivity) and their relations to processing conditions. A major draw…