cond-mat.mtrl-sci · 2026-07-09 · No. 48

Materials Science, 2026-07-09.

1 new papers in cond-mat.mtrl-sci. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Bayesian Optimization of Genetic Algorithm Hyperparameters in a Multi-Fidelity Framework for Efficient Lattice Material Design

    Sergei Zorkaltsev, Maciej Haranczyk, Christina Schenk

    cond-mat.mtrl-sci · cond-mat.dis-nn · cs.AI · cs.LG · math.OC

    This study presents a multi-fidelity framework for the systematic optimization of genetic algorithm (GA) hyperparameters. The framework integrates three fidelity levels: high-fidelity Fast Fourier Transform (FFT) homogenization for validation, a medium-fidelity 3D convolutional neural network surrogate for rapid property evaluation, and a low-fidelity Gaussian process (GP) surrogate within a Bayesian optimization (BO) framework to guide the...

    arxiv.org/abs/2607.07289 · PDF

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