Miguel A. Bessa
Scholar

Miguel A. Bessa

Google Scholar ID: 3RrpkwkAAAAJ
Associate Professor, Brown University
computational mechanicsmachine learningoptimization
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Citations & Impact
All-time
Citations
3,286
 
H-index
24
 
i10-index
34
 
Publications
20
 
Co-authors
0
 
Contact
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Publications
6 items
Single- to multi-fidelity history-dependent learning with uncertainty quantification and disentanglement: application to data-driven constitutive modeling
2025
Cited
0
Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency
2025
Cited
0
Cooperative Bayesian and variance networks disentangle aleatoric and epistemic uncertainties
2025
Cited
0
Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning
2025
Cited
0
Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption
arXiv.org · 2024
Cited
0
Practical multi-fidelity machine learning: fusion of deterministic and Bayesian models
arXiv.org · 2024
Cited
0
Resume (English only)
Background
  • Associate Professor at Brown University
  • Research interests include computational mechanics and materials science
  • Development of numerical methods
  • Machine learning and optimization
  • Multi-scale modeling of materials and structures
Co-authors
0 total
Co-authors: 0 (list not available)