Memristive Physical Reservoir Computing
Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Formation of advanced soliton dynamics through the M-fractional regularized long-wave equation. [PDF]
Hossain MM +3 more
europepmc +1 more source
Integrating experimental insights with molecular dynamics simulations, we establish an advanced mathematical model for fluids confined in sub‐10‐nm channels, enabling quantitative prediction of interfacial layer thickness and viscosity by accounting for channel material, temperature, and fluid properties.
Xiang Zhang +3 more
wiley +1 more source
A novel cryptographic framework and mathematical modeling for secure transmission of Parkinson's disease data using RSA and block-based secret sharing. [PDF]
Sambandham T +5 more
europepmc +1 more source
Developing Micro/Nanostructured Fluidic Mixing Technology for Biomedical Applications
This review critically evaluates how micro/nanostructured mixing technologies are redefining biomedical research. By synergizing fundamental analysis, numerical modeling, structural design, and external field manipulation, these systems attain unprecedented control over mass transport.
Junkai Wang +3 more
wiley +1 more source
Stability analysis of discrete delta fractional models under summation multipoint constraints for robust engineering systems. [PDF]
Mohammed PO +4 more
europepmc +1 more source
Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen +6 more
wiley +1 more source
Hybrid expansion methods for fractional non-linear mathematical systems with Erdelyi-Kober derivative operators in theory of tsunami wave modeling. [PDF]
Damag FH +5 more
europepmc +1 more source
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu +5 more
wiley +1 more source

