Bernardo P. Ferreira

According to our database, Bernardo P. Ferreira authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2026

Graphorge: An open-source forge of graph neural networks.

Bernardo P. Ferreira, Guillaume Broggi, Miguel A. Bessa

J. Open Source Softw., March, 2026

2025

Design of a specimen to train path-dependent deep learning material models from a single uniaxial test: eliciting strain diversity via automatically differentiable elastoplastic topology optimization.

Shunyu Yin, Bernardo P. Ferreira, Gawel Kus, Miguel A. Bessa

CoRR, December, 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, July, 2025

Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency.

Bernardo P. Ferreira, Miguel A. Bessa

CoRR, May, 2025

2024

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

2023

CRATE: A Python package to perform fast material simulations.

Bernardo P. Ferreira, F. M. Andrade Pires, Miguel A. Bessa

J. Open Source Softw., 2023

2021

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