A novel RGH–MOF system was prepared for ratiometric sensing of picric acid. The color changes can be observed by the naked eye.

Predicting mechanical properties of graphene-reinforced metal matrix nanocomposites (GRMMNCs) usually requires atomistic simulations that are computationally expensive without scalability or micromechanics-based models (such as widely used Halpin-Tsai model) may lead to considerable errors in many cases. This paper first combines molecular dynamic (MD) simulation and machine learning (ML) techniques predict the graphene reinforced aluminium (Gr/Al) use them modify model. Extensive MD results...

This paper presents a numerical study on nonlinear free vibration and postbuckling behaviours of functionally graded (FG) graphene origami (GOri)-enabled auxetic metamaterial (GOEAM) tapered beams immersed in fluid, with particular focus the effect negative Poisson's ratio (NPR) frequencies equilibrium paths. The properties novel GOEAM are determined by physics-embedded machine learning based micromechanics model. beam deformation is governed Timoshenko theory von Kármán nonlinearity,...

Functionally graded (FG) graphene origami (GOri)-enabled auxetic metamaterial (GOEAM) structures have shown great potential for various engineering applications due to their exceptional mechanical and physical properties such as high strength-to-weight ratio, tuneable stiffness strength, negative Poisson's ratio (NPR). This paper aims investigate the buckling dynamic instability behaviours of FG-GOEAM beams with variable thickness immersed in a fluid, particular focus on influence NPR. The...

This paper investigates the free and forced vibration behaviours of functionally graded graphene origami-enabled auxetic metamaterial (FG-GOEAM) beams submerged in Newtonian fluids, with a particular focus on understanding influence negative Poisson's ratio (NPR) natural frequencies dynamic responses beam. To this end, novel accurate efficient machine learning-assisted model based genetic programming (GP) algorithm theoretical formulations is proposed. The deformation beam governed by...

Graphene has received extensive research interest from both scientific and technological communities due to its excellent physical properties. However, owing two-dimensional structure, graphene experiences brittle fracture under external loading, which limits application as reinforcing fillers in composites. In this study, we apply an origami technique improve the flexibility of nanoindentation. Based on intensive molecular dynamics simulation, found that (GOri) can withstand loads...

Understanding the interaction between fluid and structures under various conditions is critical for engineering applications, with vortex-induced vibration (VIV) being a significant area of research. This study presents comprehensive numerical investigation on VIV behaviors functionally graded (FG) graphene origami (GOri)-enabled auxetic metamaterial (GOEAM) splitter plates attached to circular cylinder by employing finite element analysis. The plate composed multiple GOEAM layers material...

The suitable habitat of endangered Ephedra species has been severely threatened and affected by climate change anthropogenic activities; however, their migration trends restoration strategies are still relatively understudied. In this study, we utilized the MaxEnt model to simulate habitats five in China under current future scenarios. Additionally, identified significant ecological corridors incorporating minimum cumulative resistance (MCR) model. Under scenario, area equisetina Bunge,...

Curative-intent radiotherapy for multiple lung metastases with more than 10 lesions is limited by dose constraints and respiratory motion. Carbon ion (CIRT) leverages the Bragg peak precision hypofractionation, while high-frequency oscillatory ventilation (HFOV) minimizes motion under anesthesia. This study evaluates feasibility of combining CIRT HFOV in treating ≥15 metastases. Two patients received single-fraction (50 Gy(RBE)) targeting all lesions. Case 1 (16 bilateral lung,...

The alpine steppe has an important place in ecosystems, and its distribution pattern is strongly influenced by climate change. In this study, we used “biomod2” “FragStats 4.2” to calculate the migration trends habitat fragmentation of three S. purpurea steppes on western Tibetan Plateau. results study show that Stipa purpurea-Ceratoides compacta steppe, purpurea-Carex moorcroftii montis-everestii are climate, while other variables have less impact. Their main influence factors annual...

The Qinghai–Tibet Plateau represents a highly sensitive region to global climate change. Understanding Holocene variations and vegetation responses in this area holds significant value for predicting future patterns, distribution changes, biodiversity loss. Here, we aim reconstruct conditions the northeastern using modern pollen records through weighted averaging–partial least squares (WA-PLS) analysis, examine spatial–temporal relationship between dynamics change during different...