1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici +3
Determining, understanding, and predicting the so-called structure-property relation is an important task in many scientific disciplines, such as chemistry, biology, meteorology, p…
cond-mat.mtrl-sci2023★ 1 cited
Statistical analysis of Discrete Dislocation Dynamics simulations: initial structures, cross-slip and microstructure evolution
Aytekin Demirci, Dominik Steinberger, Markus Stricker +3
Over the past decades, discrete dislocation dynamics simulations have been shown to reliably predict the evolution of dislocation microstructures for micrometer-sized metallic samp…