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Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.

Technology: general issues --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.

Technology: general issues --- shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- n/a

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Shape memory alloys (SMAs), in comparison with other materials, have the exceptional ability to change their properties, structure, and functionality depending on the thermal, magnetic, and/or stress fields applied. As is well known, in recent decades, the development of SMAs has allowed innovative solutions and alternatives in biomedical applications and advanced engineering structures for aerospace and automotive industries as well as in sensor and actuation systems, among other sectors. Irrespective of this, designing and engineering using these special smart materials requires a solid background in materials science in order to consolidate their importance in these fields and to broaden their relevance for other new applications. The goal of this Special Issue is to foster the dissemination of some of the latest research devoted to these special materials from different perspectives.

shape memory alloys --- cyclic tests --- fatigue test --- energy dissipation --- earthquake engineering --- NiTiNb --- anisotropy --- texture --- SME --- pipe joints --- NiTi --- selective laser melting --- additive manufacturing --- lattice structure --- EBSD --- superelasticity --- metamagnetic shape memory alloys --- structural defects --- magnetocaloric effect --- mechanical damping --- martensitic transitions --- phonon softening --- resonant ultrasound spectroscopy --- laser-ultrasound --- elastic constants --- high-temperature shape memory alloys --- titanium palladium --- titanium platinum --- multi-component alloys --- medium-entropy alloys --- high-entropy alloys --- laser powder bed fusion --- density control --- structure control --- process simulation --- shape memory alloy --- Fe-Mn-Al-Ni --- cyclic heat treatment --- co-based Heusler alloy --- martensitic transformation --- metamagnetic shape memory alloy --- phase diagram --- magnetic-field-induced transition --- intermetallic --- microstructure --- differential scanning calorimetry --- X-ray diffraction --- mechanical testing --- n/a

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Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.

Technology: general issues --- History of engineering & technology --- composites --- multi-scale --- embedded damage --- non-destructive testing --- photoacoustic --- ultrasonic representation --- terahertz --- coded-aperture imaging --- convolution neural network (CNN) --- fast image reconstruction --- nondestructive evaluation --- acoustic nonlinearity parameter --- indirect method --- laser ultrasound --- fully non-contact --- surface acoustic wave --- UWB-PPM --- UWB-OOK --- buried objects --- nondestructive environment --- Levenberg-Marquardt method --- textured surface anomaly detection --- computer vision --- deep learning --- attention mechanism --- adaptive fusion --- power quality disturbances --- long short term memory --- convolutional neural network --- short time Fourier transform --- leaky Lamb wave --- semi-analytical finite element (SAFE) --- waveguide sensor --- finite-width plate --- waveguide plate --- width modes --- spatial beating --- Rayleigh-Sommerfeld integral (RSI) --- weld cracks --- eddy current nondestructive testing --- gradiently relative magnetic permeability --- heat affected zone --- austenitic stainless steel --- circulating fluidized bed combustion boiler --- water-cooled wall tube --- magnetic sensor array --- magnetic flux density --- flexible ultrasonic probe --- neutron irradiation embrittlement --- reactor pressure vessel --- magnetic nondestructive evaluation --- micromagnetic multiparameter microstructure and stress analysis 3MA --- magnetic adaptive testing --- 3D imaging of metal grains --- non-destructive testing methods --- stacking images --- SA106 carbon steel --- terahertz waves --- refractive index --- thickness measurement --- Shim stock films --- composite materials --- reflection mode --- neutron radiography --- Bragg-edge imaging --- gas tungsten arc welding (GTAW) --- low transformation temperature (LTT) steel --- austenite-to-martensite transformation --- Debye-Waller factor --- composites --- multi-scale --- embedded damage --- non-destructive testing --- photoacoustic --- ultrasonic representation --- terahertz --- coded-aperture imaging --- convolution neural network (CNN) --- fast image reconstruction --- nondestructive evaluation --- acoustic nonlinearity parameter --- indirect method --- laser ultrasound --- fully non-contact --- surface acoustic wave --- UWB-PPM --- UWB-OOK --- buried objects --- nondestructive environment --- Levenberg-Marquardt method --- textured surface anomaly detection --- computer vision --- deep learning --- attention mechanism --- adaptive fusion --- power quality disturbances --- long short term memory --- convolutional neural network --- short time Fourier transform --- leaky Lamb wave --- semi-analytical finite element (SAFE) --- waveguide sensor --- finite-width plate --- waveguide plate --- width modes --- spatial beating --- Rayleigh-Sommerfeld integral (RSI) --- weld cracks --- eddy current nondestructive testing --- gradiently relative magnetic permeability --- heat affected zone --- austenitic stainless steel --- circulating fluidized bed combustion boiler --- water-cooled wall tube --- magnetic sensor array --- magnetic flux density --- flexible ultrasonic probe --- neutron irradiation embrittlement --- reactor pressure vessel --- magnetic nondestructive evaluation --- micromagnetic multiparameter microstructure and stress analysis 3MA --- magnetic adaptive testing --- 3D imaging of metal grains --- non-destructive testing methods --- stacking images --- SA106 carbon steel --- terahertz waves --- refractive index --- thickness measurement --- Shim stock films --- composite materials --- reflection mode --- neutron radiography --- Bragg-edge imaging --- gas tungsten arc welding (GTAW) --- low transformation temperature (LTT) steel --- austenite-to-martensite transformation --- Debye-Waller factor

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Nondestructive testing and evaluation (NDT&E) is one of the most important techniques for determining the quality and safety of materials, components, devices, and structures. NDT&E technologies include ultrasonic testing (UT), magnetic particle testing (MT), magnetic flux leakage testing (MFLT), eddy current testing (ECT), radiation testing (RT), penetrant testing (PT), and visual testing (VT), and these are widely used throughout the modern industry. However, some NDT processes, such as those for cleaning specimens and removing paint, cause environmental pollution and must only be considered in limited environments (time, space, and sensor selection). Thus, NDT&E is classified as a typical 3D (dirty, dangerous, and difficult) job. In addition, NDT operators judge the presence of damage based on experience and subjective judgment, so in some cases, a flaw may not be detected during the test. Therefore, to obtain clearer test results, a means for the operator to determine flaws more easily should be provided. In addition, the test results should be organized systemically in order to identify the cause of the abnormality in the test specimen and to identify the progress of the damage quantitatively.

composites --- multi-scale --- embedded damage --- non-destructive testing --- photoacoustic --- ultrasonic representation --- terahertz --- coded-aperture imaging --- convolution neural network (CNN) --- fast image reconstruction --- nondestructive evaluation --- acoustic nonlinearity parameter --- indirect method --- laser ultrasound --- fully non-contact --- surface acoustic wave --- UWB-PPM --- UWB-OOK --- buried objects --- nondestructive environment --- Levenberg–Marquardt method --- textured surface anomaly detection --- computer vision --- deep learning --- attention mechanism --- adaptive fusion --- power quality disturbances --- long short term memory --- convolutional neural network --- short time Fourier transform --- leaky Lamb wave --- semi-analytical finite element (SAFE) --- waveguide sensor --- finite-width plate --- waveguide plate --- width modes --- spatial beating --- Rayleigh–Sommerfeld integral (RSI) --- weld cracks --- eddy current nondestructive testing --- gradiently relative magnetic permeability --- heat affected zone --- austenitic stainless steel --- circulating fluidized bed combustion boiler --- water-cooled wall tube --- magnetic sensor array --- magnetic flux density --- flexible ultrasonic probe --- neutron irradiation embrittlement --- reactor pressure vessel --- magnetic nondestructive evaluation --- micromagnetic multiparameter microstructure and stress analysis 3MA --- magnetic adaptive testing --- 3D imaging of metal grains --- non-destructive testing methods --- stacking images --- SA106 carbon steel --- terahertz waves --- refractive index --- thickness measurement --- Shim stock films --- composite materials --- reflection mode --- neutron radiography --- Bragg-edge imaging --- gas tungsten arc welding (GTAW) --- low transformation temperature (LTT) steel --- austenite-to-martensite transformation --- Debye–Waller factor --- n/a --- Levenberg-Marquardt method --- Rayleigh-Sommerfeld integral (RSI) --- Debye-Waller factor