- (2024): Hybrid optimization schemes for solving the piezoresistive inversion problem in self-sensing materials. Dans: Smart Materials and Structures, v. 33, n. 6 (mai 2024).
- Precise damage shaping in self-sensing composites using electrical impedance tomography and genetic algorithms. Dans: Structural Health Monitoring, v. 22, n. 1 (novembre 2019). (2019):
- Predicting strain and stress fields in self-sensing nanocomposites using deep learned electrical tomography. Dans: Smart Materials and Structures, v. 31, n. 4 (février 2022). (2022):
- An experimental study on the effect of fatigue loading on electrical impedance in open-hole carbon nanofiber-modified glass fiber/epoxy composites. Dans: Composite Structures, v. 276 (novembre 2021). (2021):
- Damage detection via electrical impedance tomography in glass fiber/epoxy laminates with carbon black filler. Dans: Structural Health Monitoring, v. 14, n. 1 (septembre 2014). (2014):
- Damage and strain identification in multifunctional materials via electrical impedance tomography with constrained sine wave solutions. Dans: Structural Health Monitoring, v. 15, n. 2 (janvier 2016). (2016):
- Failure prediction in self-sensing nanocomposites via genetic algorithm-enabled piezoresistive inversion. Dans: Structural Health Monitoring, v. 19, n. 3 (juin 2019). (2019):
- Structural health and condition monitoring via electrical impedance tomography in self-sensing materials: a review. Dans: Smart Materials and Structures, v. 29, n. 12 (30 octobre 2020). (2020):
- Interfacial load monitoring and failure detection in total joint replacements via piezoresistive bone cement and electrical impedance tomography. Dans: Smart Materials and Structures, v. 29, n. 8 (25 juin 2020). (2020):