da Senhora, Fernando, V, Emily D Sanders, and Glaucio H Paulino. 2025. “Unbiased Mechanical Cloaks”. Proceedings of the National Academy of Sciences 122. National Academy of Sciences: e2415056122. Reference Link
Chiozzi, Andrea, Andrea Nale, Fernando da Senhora V, Glaucio H Paulino, and . 2024. “A Multi-Material Topology Optimization Formulation for Large-Scale Additive Manufacturing of Non-Periodic Architected Structures”. Università degli Studi di Roma" La Sapienza", European Mechanics Society. Reference Link
da Senhora, Fernando, V, O Giraldo-Londoño, Ivan FM Menezes, and Glaucio H Paulino. 2020. “Topology Optimization With Local Stress Constraints: A Stress Aggregation-Free Approach”. Structural and Multidisciplinary Optimization 62. Springer: 1639–1668. Reference Link
Nale, Andrea, Andrea Chiozzi, Fernando da Senhora V, and Glaucio H Paulino. 2025. “Large-Scale Additive Manufacturing of Optimally-Embedded Spinodal Material Architectures”. Additive Manufacturing 101. Elsevier: 104700. Reference Link
Gresia, Juana, Fernando da Senhora V, and Glaucio H Paulino. 2024. “Topology Optimization With Continuously Varying Load Magnitude and Direction for Compliance Minimization”. Structural and Multidisciplinary Optimization 67. Springer: 179. Reference Link
Alcazar, Emily, Lorran F Oliveira, Fernando da Senhora V, Adeildo S Ramos Jr, and Glaucio H Paulino. 2024. “A Smooth Maximum Regularization Approach for Robust Topology Optimization in the Ground Structure Setting”. Structural and Multidisciplinary Optimization 67. Springer: 136. Reference Link
da Senhora, Fernando, V, Ivan FM Menezes, and Glaucio H Paulino. 2023. “Topology Optimization With Local Stress Constraints and Continuously Varying Load Direction and Magnitude: Towards Practical Applications”. Proceedings of the Royal Society A 479. The Royal Society: 20220436. Reference Link
da Senhora, Fernando, V, Heng Chi, Yuyu Zhang, Lucia Mirabella, Tsz Ling Elaine Tang, and Glaucio H Paulino. 2022. “Machine Learning for Topology Optimization: Physics-Based Learning through an Independent Training Strategy”. Computer Methods in Applied Mechanics and Engineering 398. Elsevier: 115116. Reference Link