Structural materials with higher strength and ductility could reduce weight and improve energy efficiency from the ecological and economical viewpoints. However, most classical strengthening strategies, such as refining grain size and forming secondary particles, can effectively hinder dislocation motion but remarkably decrease ductility. In this research, a nanoscale contraction twins-stacking faults (CTWSFs) hierarchical structure was achieved in a model sample of magnesium-lithium (Mg-Li) alloy using an industrial ultrahigh pressure technique. The specific yield strength and elongation of the treated Mg-Li alloy were ∼179 kN m kg-1 and ∼25% at room temperature, respectively. Both of these are the highest values reported so far, even compared to commercial aluminum alloys and steel. Depending on molecular dynamics simulations, it was demonstrated that the basal-plane stacking faults (SFs) attribute to the nucleation of contraction twins (CTWs), but prevented the broadening of the CTWs. The results were confirmed using ex situ transmission electron microscopy. The models also verified that the unique structure of nanoscale coherent boundaries-basal-plane SFs were effective in preventing dislocation motion in a single Mg crystal, which was analogous to twin boundaries. Finding this new CTWSFs structure might provide an alternative perspective for designing more innovative hexagonal close packed (hcp)-type structural materials with superior mechanical properties.
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http://dx.doi.org/10.1039/c8nr04805c | DOI Listing |
High-resolution depth imaging is essential in fields such as biological microscopy and material science. Traditional techniques like interferometry and holography often rely on phase stability and coherence, making them susceptible to noise and limiting their effectiveness in low-light conditions. We propose a time-of-flight (ToF) widefield microscopy technique that uses pseudo-thermal light.
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January 2025
James Franck Institute, University of Chicago, Chicago, Illinois 60637, United States.
Phonon dynamics and transport determine how heat is utilized and dissipated in materials. In 2D systems for optoelectronics and thermoelectrics, the impact of nanoscale material structure on phonon propagation is central to controlling thermal conduction. Here, we directly observe in-plane coherent acoustic phonon propagation in black phosphorus (BP) using ultrafast electron microscopy.
View Article and Find Full Text PDFNanoscale Adv
January 2025
Department of Chemical Sciences, University of Padova via Marzolo 1 35131 Padova Italy
In this study, we used two-dimensional electronic spectroscopy to examine the early femtosecond dynamics of suspensions of colloidal gold nanorods with different aspect ratios. In all samples, the signal distribution in the 2D maps at this timescale shows a distinctive dispersive behavior, which can be explained by the interference between the exciting field and the field produced on the nanoparticle's surface by the collective motion of electrons when the plasmon is excited. Studying this interference effect, which is active only until the plasmon has been dephased, allows for a direct estimation of the dephasing time of the plasmon of an ensemble of colloidal particles.
View Article and Find Full Text PDFNat Commun
January 2025
SLAC National Accelerator Laboratory, Stanford PULSE Institute, Menlo Park, CA, USA.
Diffraction-before-destruction imaging with ultrashort X-ray pulses can visualize non-equilibrium processes, such as chemical reactions, with sub-femtosecond precision in the native environment. Here, a nanospecimen diffracts a single X-ray flash before it disintegrates. The sample structure can be reconstructed from the coherent diffraction image (CDI).
View Article and Find Full Text PDFNanoscale
January 2025
Key Laboratory of Artificial Micro- and Nano-structures of Ministry of Education, School of Physics and Technology, Wuhan University, Wuhan 430072, People's Republic of China.
Superlattices are significant means to reduce the lattice thermal conductivity of thermoelectric materials and optimize their performance. In this work, using high-precision first-principles based neural network potentials combined with non-equilibrium molecular dynamics simulations and the phonon Boltzmann transport equation, the lattice thermal conductivities of BiTe monolayer and lateral BiTe/SbTe monolayer superlattices are thoroughly investigated. As the period length increases, the thermal conductivity shows a trend of an initial decrease followed by an increase, which aligns with conventional observations.
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