All Stories

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

    Article • The Journal of Open Source Software, February 2026, The Open Journal

    Miguel A Bessa

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

    Article • Journal of the Mechanics and Physics of Solids, January 2026, Elsevier

    Miguel A Bessa

  3. Single-to-multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: Application to data-driven constitutive modeling

    Article • Computer Methods in Applied Mechanics and Engineering, January 2026, Elsevier

    Miguel A Bessa

  4. Unifying machine learning and interpolation theory via interpolating neural networks

    Article • Nature Communications, October 2025, Springer Science + Business Media

    Miguel A Bessa

  5. Neural topology optimization: the good, the bad, and the ugly

    Article • Structural and Multidisciplinary Optimization, October 2025, Springer Science + Business Media

    Miguel A Bessa

  6. Finite strain self-consistent clustering analysis under multiplicative kinematics

    Article • Computers & Structures, September 2025, Elsevier

    Miguel A Bessa

  7. Multi-objective Bayesian optimisation of spinodoid cellular structures for crush energy absorption

    Article • Computer Methods in Applied Mechanics and Engineering, May 2025, Elsevier

    Miguel A Bessa

  8. Pentagonal photonic crystal mirrors: scalable lightsails with enhanced acceleration via neural topology optimization

    Article • Nature Communications, March 2025, Springer Science + Business Media

    Miguel A Bessa

  9. Consistent machine learning for topology optimization with microstructure-dependent neural network material models

    Article • Journal of the Mechanics and Physics of Solids, March 2025, Elsevier

    Miguel A Bessa

  10. f3dasm: Framework for Data-Driven Design and Analysis of Structures and Materials

    Article • The Journal of Open Source Software, August 2024, The Open Journal

    Miguel A Bessa

  11. Centimeter-scale nanomechanical resonators with low dissipation

    Article • Nature Communications, May 2024, Springer Science + Business Media

    Miguel A Bessa

  12. Continual learning for surface defect segmentation by subnetwork creation and selection

    Article • Journal of Intelligent Manufacturing, May 2024, Springer Science + Business Media

    Miguel A Bessa

  13. Neural network relief: a pruning algorithm based on neural activity

    Article • Machine Learning, March 2024, Springer Science + Business Media

    Miguel A Bessa

  14. Cooperative data-driven modeling

    Article • Computer Methods in Applied Mechanics and Engineering, December 2023, Elsevier

    Miguel A Bessa

  15. CRATE: A Python package to perform fast material simulations

    Article • The Journal of Open Source Software, July 2023, The Open Journal

    Miguel A Bessa

  16. Continual prune-and-select: class-incremental learning with specialized subnetworks

    Article • Applied Intelligence, January 2023, Springer Science + Business Media

    Miguel A Bessa

  17. Adaptivity for clustering-based reduced-order modeling of localized history-dependent phenomena

    Article • Computer Methods in Applied Mechanics and Engineering, April 2022, Elsevier

    Miguel A Bessa

  18. Quantifying nanoscale forces using machine learning in dynamic atomic force microscopy

    Article • Nanoscale Advances, January 2022, Royal Society of Chemistry

    Miguel A Bessa

  19. A methodology to generate design allowables of composite laminates using machine learning

    Article • International Journal of Solids and Structures, December 2021, Elsevier

    Miguel A Bessa

  20. Spiderweb Nanomechanical Resonators via Bayesian Optimization: Inspired by Nature and Guided by Machine Learning

    Article • Advanced Materials, November 2021, Wiley

    Miguel A Bessa

  21. Sparse quantum Gaussian processes to counter the curse of dimensionality

    Article • Quantum Machine Intelligence, February 2021, Springer Science + Business Media

    Miguel A Bessa

  22. Compliant Mechanisms That Use Static Balancing to Achieve Dramatically Different States of Stiffness

    Article • Journal of Mechanisms and Robotics, January 2021, ASME International

    Miguel A Bessa

  23. Monolithic binary stiffness building blocks for mechanical digital machines

    Article • Extreme Mechanics Letters, January 2021, Elsevier

    Miguel A Bessa

  24. Modelling the longitudinal failure of fibre-reinforced composites at microscale

    Article • January 2021, Elsevier

    Miguel A Bessa

  25. Deep learning predicts path-dependent plasticity

    Article • Proceedings of the National Academy of Sciences, December 2019, Proceedings of the National Academy of Sciences

    Miguel A Bessa

  26. Bayesian Machine Learning in Metamaterial Design: Fragile Becomes Supercompressible

    Article • Advanced Materials, October 2019, Wiley

    Miguel A Bessa

  27. A micro-mechanics perspective to the invariant-based approach to stiffness

    Article • Composites Science and Technology, May 2019, Elsevier

    Miguel A Bessa

  28. A numerical Bayesian-calibrated characterization method for multiscale prepreg preforming simulations with tension-shear coupling

    Article • Composites Science and Technology, November 2018, Elsevier

    Miguel A Bessa

  29. Design of ultra-thin shell structures in the stochastic post-buckling range using Bayesian machine learning and optimization

    Article • International Journal of Solids and Structures, May 2018, Elsevier

    Miguel A Bessa

  30. The effect of through-thickness compressive stress on mode II interlaminar crack propagation: A computational micromechanics approach

    Article • Composite Structures, December 2017, Elsevier

    Miguel A Bessa

  31. Prediction of size effects in open-hole laminates using only the Young’s modulus, the strength, and the R

    Article • Composites Part A Applied Science and Manufacturing, October 2017, Elsevier

    Miguel A Bessa

  32. A framework for data-driven analysis of materials under uncertainty: Countering the curse of dimensionality

    Article • Computer Methods in Applied Mechanics and Engineering, June 2017, Elsevier

    Miguel A Bessa

  33. Characterization of Ultra-Thin Composite Triangular Rollable and Collapsible Booms

    Article • January 2017, American Institute of Aeronautics and Astronautics (AIAA)

    Miguel A Bessa, Christophe Leclerc

  34. Predicting the Macroscopic Fracture Energy of Epoxy Resins from Atomistic Molecular Simulations

    Article • Macromolecules, December 2016, American Chemical Society (ACS)

    Miguel A Bessa

  35. Corrigendum to “High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites” [Compos Struct 134 (2015) 132–141]

    Article • Composite Structures, October 2016, Elsevier

    Miguel A Bessa

  36. Wave Dispersion and Basic Concepts of Peridynamics Compared to Classical Nonlocal Damage Models

    Article • Journal of Applied Mechanics, August 2016, ASME International

    Miguel A Bessa

  37. Self-consistent clustering analysis: An efficient multi-scale scheme for inelastic heterogeneous materials

    Article • Computer Methods in Applied Mechanics and Engineering, July 2016, Elsevier

    Miguel A Bessa

  38. Mechanics of hybrid polymer composites: analytical and computational study

    Article • Computational Mechanics, January 2016, Springer Science + Business Media

    Miguel A Bessa

  39. High-fidelity micro-scale modeling of the thermo-visco-plastic behavior of carbon fiber polymer matrix composites

    Article • Composite Structures, December 2015, Elsevier

    Miguel A Bessa

  40. A Multiscale Model for the Quasi-Static Thermo-Plastic Behavior of Highly Cross-Linked Glassy Polymers

    Article • Macromolecules, September 2015, American Chemical Society (ACS)

    Miguel A Bessa

  41. A method for modeling the transition of weak discontinuities to strong discontinuities: from interfaces to cracks

    Article • International Journal for Numerical Methods in Engineering, September 2015, Wiley

    Miguel A Bessa

  42. Particle Method Modeling of Nonlocal Multiresolution Continua

    Article • November 2014, Springer Science + Business Media

    Miguel A Bessa

  43. A meshfree unification: reproducing kernel peridynamics

    Article • Computational Mechanics, January 2014, Springer Science + Business Media

    Miguel A Bessa

  44. Modeling the inelastic deformation and fracture of polymer composites – Part II: Smeared crack model

    Article • Mechanics of Materials, April 2013, Elsevier

    Miguel A Bessa