Indium selenide (InSe) is an emerging van der Waals material, which exhibits the potential to serve in excellent electronic and optoelectronic devices. One of the advantages of layered materials is their application to flexible devices. How strain alters the electronic and optical properties is, thus, an important issue. In this work, we experimentally measured the strain dependence on the angle-resolved second harmonic generation (SHG) pattern of a few layers of InSe. We used the exfoliation method to fabricate InSe flakes and measured the SHG images of the flakes with different azimuthal angles. We found the SHG intensity of InSe decreased, while the compressive strain increased. Through first-principles electronic structure calculations, we investigated the strain dependence on SHG susceptibilities and the corresponding angle-resolved SHG pattern. The experimental data could be fitted well by the calculated results using only a fitting parameter. The demonstrated method based on first-principles in this work can be used to quantitatively model the strain-induced angle-resolved SHG patterns in 2D materials. Our obtained results are very useful for the exploration of the physical properties of flexible devices based on 2D materials.
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http://dx.doi.org/10.3390/nano13040750 | DOI Listing |
Science
January 2025
Department of Geoscience, University of Wisconsin-Madison, Madison, WI, USA.
Accurately modeling the deformation of temperate glacier ice, which is at its pressure-melting temperature and contains liquid water at grain boundaries, is essential for predicting ice sheet discharge to the ocean and associated sea-level rise. Central to such modeling is Glen's flow law, in which strain rate depends on stress raised to a power of = 3 to 4. In sharp contrast to this nonlinearity, we found by conducting large-scale, shear-deformation experiments that temperate ice is linear-viscous ( 1.
View Article and Find Full Text PDFBackground: Metabotropic glutamate receptor 5 (mGluR5) modulates excitatory glutamatergic synaptic transmission and plays an important role in learning and memory, and in the pathphysiology of Alzheimer's disease (AD). Here, we aimed to assess the alterations of mGluR5 in the hippocampus of AD patients and mouse model, and the association with amyloid pathology.
Method: Immunofluorescence staining was performed on postmortem brain tissue from 35 AD patients and 36 control patients, as well as on the brain tissue slices from 15 months-old 3×Tg and arcAβ mouse models of AD amyloidosis.
Background: Animal models provide a valuable basis for identification of conserved pathological substrates and processes underlying age-related diseases as well as neurobiological features supporting cognitive resilience in the aging brain. Behavioral measures are a fundamental component in the assessment of cognitive processes but are rarely standardized across laboratories. Currently, there is a scarcity of centralized and standardized data infrastructure for behavioral experiment data collected across laboratories which presents a barrier for data sharing, hypothesis generation, and collaboration.
View Article and Find Full Text PDFKardiologiia
December 2024
Tyumen Cardiological Research Center, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk.
Aim: To study the relationship between laboratory markers and echocardiography (EchoCG) parameters in heart failure with preserved ejection fraction (HFpEF) depending on the results of the diastolic stress test (DST).
Material And Methods: The diagnostic algorithm provided by the current guidelines for the assessment of left ventricular (LV) diastolic function was used to select patients. If there were not enough criteria to make a conclusion about increased LV filling pressure (FP) based on standard resting echocardiography data in patients with arterial hypertension and ischemic heart disease, DST was performed to detect HFpEF.
J Chem Phys
January 2025
Institute of Hydrogen Technology, Helmholtz-Zentrum Hereon, Geesthacht, Germany.
Coherent phase transformations in interstitial solid solutions or intercalation compounds with a miscibility gap are of practical relevance for energy storage materials and specifically for metal hydride or lithium-ion compound nanoparticles. Different conclusions on the size-dependence of the transformation conditions are reached by modeling or theory focusing on the impact of either one (internal, solid-state-) critical-point wetting of the nanoparticle surface or coherency constraints from solute-saturated surface layers. We report a hybrid numerical approach, combining atomistic grand canonical Monte Carlo simulation with a continuum mechanics analysis of coherency stress and modeling simultaneously wetting and mechanical constraints.
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