Adaptive Clustering-based Reduced-Order Modeling Framework: Fast and accurate modeling of localized history-dependent phenomena. - Bernardo P. Ferreira; F. M. Andrade Pires; Miguel A. Bessa (CoRR, 2021)

CRATE: A Python package to perform fast material simulations. - Bernardo P. Ferreira; F. M. Andrade Pires; Miguel A. Bessa (J. Open Source Softw., 2023)

f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials. - M. P. van der Schelling; Bernardo P. Ferreira; Miguel A. Bessa (J. Open Source Softw., 2024)

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency. - Bernardo P. Ferreira; Miguel A. Bessa (CoRR, 2025)

Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling. - Jiaxiang Yi; Bernardo P. Ferreira; Miguel A. Bessa (CoRR, 2025)