Bessa, Miguel A.

1. Neural topology optimization: the good, the bad, and the ugly
   2024/07/19 by Suryanarayanan Manoj Sanu, Sanu, Suryanarayanan Manoj, Alejandro M. Aragón +3 · 4 citations
   Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Piezoelectric Actuators and Control
2. Consistent machine learning for topology optimization with microstructure-dependent neural network material models
   2024/08/25 by Harikrishnan Vijayakumaran, Jonathan B. Russ, Vijayakumaran, Harikrishnan +5 · 3 citations
   Engineering · #Topology Optimization in Engineering #Advanced machining processes and optimization #Manufacturing Process and Optimization
3. High-Strength Amorphous Silicon Carbide for Nanomechanics
   2023/07/03 by Xu, Minxing, Shin, Dongil, Sberna, Paolo M. +4 · 2 citations
   #Applied Physics (physics.app-ph) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
4. Neural network relief: a pruning algorithm based on neural activity
   2021/09/22 by Dekhovich, Aleksandr, Tax, David M. J., Sluiter, Marcel H. F. +1 · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Automatically Differentiable Model Updating (ADiMU): conventional, hybrid, and neural network material model discovery including history-dependency
   2025/05/12 by Bernardo P. Ferreira, Ferreira, Bernardo P., Miguel A. Bessa +1 · 5 citations
   Computer Science · Materials Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
6. iPINNs: Incremental learning for Physics-informed neural networks
   2023/04/10 by Dekhovich, Aleksandr, Sluiter, Marcel H. F., Tax, David M. J. +1 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA)
7. Gradient-free neural topology optimization: Towards effective fracture-resistant designs
   2024/03/07 by Gaweł Kuś, Kus, Gawel, Miguel A. Bessa +1 · 1 citation
   Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Numerical Analysis (math.NA) #Piezoelectric Actuators and Control #Topology Optimization in Engineering
8. Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning
   2025/02/03 by Igor Kuszczak, Kuszczak, Igor, Gaweł Kuś +5 · 1 citation
   Computer Science · Engineering · #Computational Engineering #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Industrial Technology and Control Systems #Neural Networks and Applications #and Science (cs.CE)