A novel high‐entropy perovskite oxide, (Gd0.2Tb0.2Dy0.2Ho0.2Er0.2)FeO3, was successfully synthesized for advanced hydrogen sulfide gas detection. By synergistically coupling high‐entropy‐induced local lattice distortion with weak magnetic field modulation, the tailored material generates abundant active sites. This innovative dual strategy dramatically
Yunfei Wang +7 more
wiley +1 more source
Deep neural network assisted modeling for MHD thin film flow of Sisko hybrid nanofluids with gyrotactic microorganisms and cross-diffusion effects. [PDF]
Aljaloud AS +5 more
europepmc +1 more source
Geometry‐Encoded Actuation as a Structural Interaction Layer in Origami Robots
We present geometry‐encoded actuation (GEA), a design framework that integrates multistable origami with liquid crystal elastomer actuators to encode environmental interactions into autonomous structural responses. GEA enables programmable shape transformation without continuous sensing or complex control, achieving robust adaptive manipulation and ...
Jianshu Zhou +8 more
wiley +1 more source
A two-stage algebraic framework for designing cryptographically strong S-boxes for secure image encryption. [PDF]
Razzaque A +3 more
europepmc +1 more source
Spatially Encoded Protocell Network for Non‐Cascaded Parallel Biocomputation
A non‐cascaded, hydrogel‐based proteinosome computational platform is developed, in which redox‐responsive proteinosomes serve as local computing units within a shared reaction–diffusion field. Reductant inputs, countered by an auxiliary glucose gradient, regulate spatially patterned proteinosome disruption, and generate population‐level boundaries ...
Shuqi Wu, Liangfei Tian
wiley +1 more source
Boric acid-activated carbon derived from Scots pine sawdust for phenol removal: adsorption mechanism, linear and nonlinear kinetic and isotherm modeling, and artificial neural network prediction. [PDF]
Ozdes D +4 more
europepmc +1 more source
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv +10 more
wiley +1 more source
Analytical and artificial neural network modeling of double-diffusive magnetized electroosmotic ellis nanofluid flow through a tapered non-uniform channel. [PDF]
Rehman SU +6 more
europepmc +1 more source
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source
Modeling Chloride Transport in Concrete Under the Coupling of Extreme Saltwater Intrusion and Short-Term Dry-Wet Alternation. [PDF]
Pan J +5 more
europepmc +1 more source

