The manipulation and control of nanoscale magnetic spin textures are of rising interest as they are potential foundational units in next-generation computing *** this requires a quantitative understanding of the spin ...
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The manipulation and control of nanoscale magnetic spin textures are of rising interest as they are potential foundational units in next-generation computing *** this requires a quantitative understanding of the spin texture behavior under external stimuli using in situ *** transmission electron microscopy(LTEM)enables real-space imaging of spin textures at the nanoscale,but quantitative characterization of in situ data is extremely ***,we present an AI-enabled phase-retrieval method based on integrating a generative deep image prior with an image formation forwardmodel for *** approach uses a single out-of-focus image for phase retrieval and achieves significantly higher accuracy and robustness to noise compared to existing ***,our method is capable of isolating sample heterogeneities from magnetic contrast,as shown by application to simulated and experimental *** approach allows quantitative phase reconstruction of in situ data and can also enable near real-time quantitative magnetic imaging.
The rapid development of high-power and pulsed-power techniques inspires extensive investigates on high-performance ceramic-based ***,the low recoverable energy density(Wrec)hampers their wider ***,the non-stoichiomet...
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The rapid development of high-power and pulsed-power techniques inspires extensive investigates on high-performance ceramic-based ***,the low recoverable energy density(Wrec)hampers their wider ***,the non-stoichiometric Bi_(0.5)Na_(0.5)TiO_(3)-based ceramics were designed and *** proper introduction of oxygen vacancies facilitated activating defect dipole,giving rise to reduced remanent ***,the optimal composition exhibited an exceptional high Wrec of 8.3 J/cm^(3),a high efficiency of 85%,and excellent anti-fatigue and thermal *** work provides an efficient approach to explore ceramic capacitors with high capacitive energy storage performances.
Machine learning is an emerging tool in the field of materials chemistry for uncovering a principle from large ***,we focus on the spherical precipitation behavior of polymers and computationally extract a hidden tren...
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Machine learning is an emerging tool in the field of materials chemistry for uncovering a principle from large ***,we focus on the spherical precipitation behavior of polymers and computationally extract a hidden trend that is orthogonal to the availability bias in the chemical *** constructing a dataset,four polymers were precipitated from 416 solvent/nonsolvent combinations,and the morphology of the resulting precipitates were *** dataset was subjected to computational investigations consisting of principal component analysis and machine learning based on random forest model and support vector ***,we eliminated the effect of the availability bias and found a linear combination of Hansen parameters to be the most suitable variable for predicting precipitation *** predicted appropriate solvents are those with low hydrogen bonding capability,low polarity,and small molecular ***,we found that the capability for spherical precipitation is orthogonal to the availability bias and forms an extraordinary axis in Hansen space,which is the origin of the conventional difficulty in identifying the *** extraordinary axis points toward a void region,indicating the potential value of synthesizing novel solvents located therein.
3D printing is regarded as an ideal method for large-scale bone defect repair. A rapid curing rate and strong mechanical properties throughout the product's shelf life are key development goals in 3D-printed bone ...
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The buckling-guided three-dimensional(3D)assembly method has arisen increasing attention for its advantages in forming complex 3D architectures with a rich diversity of geometric shapes in a broad spectrum of inorgani...
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The buckling-guided three-dimensional(3D)assembly method has arisen increasing attention for its advantages in forming complex 3D architectures with a rich diversity of geometric shapes in a broad spectrum of inorganic functional *** an assembly method relies on the controlled lateral bucking of a 2D precursor structure integrated with a pre-stretched substrate at selective *** the assembly process,the preservation or break-ing of rotational symmetry is crucial for understanding the mechanism of 2D-to-3D geometric ***,we present a fundamental study on the rotational symmetry of 3D spoke double-ring structures formed through buckling-guided *** energetic method is introduced to analyze the rotational symmetry and to understand the symmetry-breaking *** symmetry-breaking phenomenon is validated by experi-ments and finite element analyses(FEA).Phase diagrams of the deformation mode are established to shed light on the influences of various geometric parameters(e.g.,initial rotational symmetry order,radius ratio,and lo-cation of bonding sites).This work offers new insights into the underlying mechanism of 2D-to-3D geometric transformation in ribbon-type structures formed by compressive buckling.
Achieving a good balance between the crystallinity and solubility is of great importance in the design of π-conjugated polymers. Here, we synthesized a series of terpolymers in which small fractions of a planar V-sha...
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Smart dry adhesives,a rapidly growing class of intelligent materials and structures,are engineered to provide strong,robust adhesion when needed while also allowing for controlled,easy detachment in response to specif...
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Smart dry adhesives,a rapidly growing class of intelligent materials and structures,are engineered to provide strong,robust adhesion when needed while also allowing for controlled,easy detachment in response to specific *** smart adhesives,often exemplified by fibrillar structures made of elastomers,face a number of *** include limitations on maximum adhesion strength imposed by microstructural dimensions,restricted adaptability to surfaces with varying degrees of roughness,and an inherent trade-off between adhesion strength and *** review explores how shape memory polymers(SMPs)can address these challenges and,through their rubber-to-glass(R2G)transition capability,provide a powerful foundation for the next generation of smart dry ***,we summarize and elucidate the mechanisms by which SMPs enhance adhesion strength and switchability through material characteristics such as tunable stiffness,shape-locking,and shape-memory ***,we discuss a wide range of innovative designs and applications of SMP adhesives,offering insights into the ongoing challenges and emerging opportunities in this rapidly evolving field.
In this study, we proposed a moved-view analysis, a method for obtaining the Soret coefficient ST by analyzing the interference fringe change during field-of-view movement in the steady state. This analysis was design...
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We report that circularly polarized terahertz light pulses can drive chiral phonons, which then induce an effective quasi-static magnetic field on the order of 1 tesla to polarize the paramagnetic cerium fluoride. ...
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Linearly and circularly polarized phonons in monolayer WS2 are directly excited by resonant infrared pulses. The dynamics of coherent and incoherent chiral phonons are measured by time-resolved Raman spectroscopy and ...
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