Abstract: Described herein relates to a system and method utilizing a novel Wasserstein Deep Convolutional GAN with Gradient Penalty (“WDCGAN-GP”) and Cycle-Consistent Wasserstein Deep Convolutional Generative Adversarial Networks with Gradient Penalty (“CycleWDCGAN-GP) for automatically diagnosing a condition of at least one structure during the life cycle of the at least one structure. In an embodiment, by using WDCGAN-GP and/or CycleWDCGAN-GP architecture, at least one synthetic dataset may be used to support and/or train at least one dataset of Deep-Learning (“DL”) architecture, increasing accuracy and/or efficiency of the structure health monitoring system. Additionally, in an embodiment, the structural health monitoring system may be configured to diagnosis at least one condition of at least one alternative structure based on the at least one trained dataset of the at least one structure.

Abstract: Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.

Abstract: A multilayer structure comprising FM/NM/FM layers enhances the amplitude of the unidirectional spin Hall magnetoresistance (USMR) thanks to an additional FM/NM layer interface. The USMR can be used to detect the in-plane magnetization direction of each FM layer perpendicular to the current injection. Detection relies on second harmonic resistance measurements driven by the USMR with possible contribution of Joule heating-induced magnetothermal effects (ANE and SSE). The four different magnetization states (, , , ), of the FM/NM/FM layers give rise to four unique resistance levels, which can be read out by a simple two-terminal electric measurement. As a result, this FM/NM/FM multilayer structure can be used in a lateral, two-terminal device to store multiple magnetic bits. Moreover, the magnetic states can be manipulated by spin-orbit torques, opening the possibility for all-electrical operation.

Abstract: A multilayer structure comprising FM/NM/FM layers enhances the amplitude of the unidirectional spin Hall magnetoresistance (USMR) thanks to an additional FM/NM layer interface. The USMR can be used to detect the in-plane magnetization direction of each FM layer perpendicular to the current injection. Detection relies on second harmonic resistance measurements driven by the USMR with possible contribution of Joule heating-induced magnetothermal effects (ANE and SSE). The four different magnetization states (, , , ), of the FM/NM/FM layers give rise to four unique resistance levels, which can be read out by a simple two-terminal electric measurement. As a result, this FM/NM/FM multilayer structure can be used in a lateral, two-terminal device to store multiple magnetic bits. Moreover, the magnetic states can be manipulated by spin-orbit torques, opening the possibility for all-electrical operation.

Abstract: Certain embodiments may generally relate to structural damage detection. An embodiment may be directed to method for identifying a presence and a location of structural damage. Such method may include training a convolutional neural network (CNN) for a joint of a structure, sending instructions to a modal shaker to induce an input to the structure, receiving, as a result of the induced input, a raw acceleration signal at the joint, computing, based on the trained CNN and the raw acceleration signal, an index value of the joint, and identifying, according to the index value, a presence of a location of structural damage of the structure. In a further embodiment, the index value represents a likelihood of damage at the joint.