Results 281 to 290 of about 732,831 (345)
Corrections to "Model Identification Using Stochastic Differential Equation Grey-Box Models in Diabetes" (2013; vol. 7, no. 2: pp. 431-440). [PDF]
europepmc +1 more source
A new strategy for revitalizing aged biofilms using the elastic deformation of biomass‐based flexible carbon aerogel is proposed. The elastic deformation removes the nonelectrogenic bacteria and the dead electrogenic bacteria, as well as a lot of loosely bound extracellular polymer materials.
Xue Liu+15 more
wiley +1 more source
Latent Abstractions in Generative Diffusion Models. [PDF]
Franzese G+4 more
europepmc +1 more source
A synergistic framework for interpretable ML‐assisted target discovery of selenoborates is developed. ABa3(BSe3)2X (A = Rb, Cs; X = Cl, Br, I) are successfully predicted and synthesized, exhibiting significant potential to be promising IR functional materials. This work promotes the cooperation of ML technology and materials science.
Yihan Yun+4 more
wiley +1 more source
An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition. [PDF]
Guilberteau J+4 more
europepmc +1 more source
Energy Dispersion Induced Precisely Tunable Friction of Graphitic Interface
This study introduces a novel approach to precisely tune nanoscale friction on monolayer graphene using coupled DC/AC electric fields. Combining experiments (contact‐mode electrostatic force microscopy) and simulations (generalized Prandtl–Tomlinson model), vertical resonance is shown to disperse horizontal energy, reducing friction while preserving ...
Zhao Liu+6 more
wiley +1 more source
Stochastic SIRS models on networks: mean and variance of infection. [PDF]
Chen T, Liu G, Jin Z.
europepmc +1 more source
This study presents a graphene oxide‐based gas sensor array integrated with a deep learning framework for precise detection and classification of multiple gases. By combining advanced sensing materials and a 1D‐ResNet architecture, the system achieves high sensitivity and accuracy, demonstrating its potential for real‐time environmental monitoring ...
Tianci Liu+5 more
wiley +1 more source
Ultrafast entropy production in nonequilibrium magnets. [PDF]
Tietjen F, Geilhufe RM.
europepmc +1 more source
This work introduces a novel photonic Bayesian neural network architecture that utilizes tunable photonic random number generators to independently control weight distribution parameters, significantly improving robustness, scalability, and accuracy while demonstrating practical applications in multimodal data processing and uncertainty‐aware computing.
Yangyang Zhuge+9 more
wiley +1 more source