Browse Articles

Temperature-Dependent Menthol Binding across TRPM8 Conformational States

Machine learning prediction of DFT-derived electrical conductivity in perovskite and double perovskite materials using physically motivated descriptors

Synthesis of Iodinated Semisaturated Heterobicycles via a Temporal Dual Metal-Catalyzed Cycloaddition/Photochemical Carbohalogenation

Honeybee-DR: dynamic dependency management and lightweight reliability for mobile crowd computing

Synthesis of Chiral Cyclophanes via Pd(II)-Catalyzed Atroposelective C–H Macrocyclization: Total Synthesis of Isoplagiochin D

Foliar γ-aminobutyric acid enhances antioxidant defense and yield performance of canola under drought stress

Dirac-Like Ferrimagnet Ce ₃ Au ₄ Ge ₂ Bi ₄ as a Member of a Homologous Series of Square-Net Topological Materials

Fluid identification of tight sandstone reservoirs using an improved double cost-sensitive random forest optimized by chaotic sparrow search algorithm

Multiscale Neural Network Potential with Anisotropic Message Passing for the Fast and Accurate Simulation of Protein Dynamics and Enzymatic Reactions

Efficient 10-element MIMO antenna array design for wideband 5G smartphone applications

Structural Transformation of Hydrated Excess Protons at the Water Surface

Ambient temperature and bath related stroke subtypes in a Japanese Stroke Registry

A Discrete, Iterative Type I Polyketide Synthase System Catalyzing the Formation of Unusual Fatty Acid Chains

Research on a fault diagnosis method for photovoltaic power plants based on a dual-channel 1D-2D-CNN-BiLSTM spatiotemporal feature fusion network

Energy Transfer-Enabled Diradical Carbonylative Cyclization of Bicyclo[1.1.0]butanes with CO and Alkenes/Alkynes

A randomized controlled trial of intrauterine growth hormone for thin endometrium

Sequence-Dependent Folding of Recognition-Encoded Melamine Oligomers

Neural network modeling of heat transfer on transient curved stretching surface with slip dynamics

Abstract This study investigates nanofluids for energy transfer across a curve stretching sheet. The integration of nanofluids markedly improves thermal management and lubrication efficiency across diverse engineering domains. This analysis focuses on the transport and heat exchange behavior of water based nanofluid interacting with an unsteady nonlinear curved plate in slip conditions. Gold and silver nanoparticles are dispersed separately in water, forming two distinct nanofluids. A curvilinear coordinate structure is employed to capture the geometric complexity of the modeled system for accurate representation. The governing equations are solved using physics‑informed neural network (PINN) and finite difference method (FDM), ensuring both data‑driven adaptability and discretization accuracy to simplify computation. Numerical simulations are carried out to evaluate velocity fields, and temperature distribution under controlled factors. The flow resistance is observed at elevated levels for the silver–water nanofluid, in comparison with the gold-water formulation demonstrating increased performance. In contrast, thermal exchange reveals that gold nanoparticles deliver enhanced outcomes in energy transfer efficiency across multiple cases. Among the parameters considered, the Biot number has the most pronounced effect on heat transfer, producing an approximately 58% variation in the heat transfer rate relative to other factors.

Enzyme-Responsive Chemiluminescent Probes Assembled with Iridium(III) Photosensitizers via Host–Guest Chemistry for Chemiluminescence-Induced Photodynamic Therapy

First-principles study of Y2CCl2 and Janus Y2CClX (X = F, Br, I) MXenes for photovoltaic applications