Results 101 to 110 of about 14,618 (217)
Nanopore technology has revolutionized single‐molecule sensing, yet it suffers from an inherent interpretive challenge. Molecular dynamics has emerged as a go‐to method for determining the relationship between the structure of translocating molecules and the nanopore current signals.
Behzad Mehrafrooz +5 more
wiley +1 more source
For a long time, the curse of dimensionality has severely restricted the efficiency of numerical solutions of high-dimensional partial differential equations (PDEs).In this paper, we extend the forward-backward stochastic neural networks (FBSNNs ...
DENG Yangtao, HE Qiaolin
doaj
A multiscale CFD framework reveals that two‐phase effects fundamentally alter hazardous gas dispersion in urban street canyons. Droplet evaporation, vortex‐driven transport, and ventilation jointly control hazard evolution, with wind speed dominating dispersion while temperature plays a secondary role.
Jialin Li +3 more
wiley +1 more source
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
This article is devoted to the study of the nonhomogeneous incompressible Navier-Stokes equations in space dimension three. By making use of the "weakly nonlinear" energy estimate approach introduced by Lei and Zhou in [16], we establish two ...
Qianqian Hou, Xiaojing Xu, Zhuan Ye
doaj
Recent progress on the development of hydrogel‐based microneedles for transdermal drug delivery
This study provides a comprehensive and up‐to‐date analysis of recent progress in HMN technology, covering fundamental transdermal delivery mechanisms and design principles, biomaterials used in HMN fabrication, drug loading and release strategies, and emerging therapeutic applications.
Mohammad Muhtasim Ittisaf +5 more
wiley +1 more source
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source
The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations. [PDF]
Liu J, Yang W, Dong M, Marsden AL.
europepmc +1 more source
Dynamic Behaviour of Bubbles in Oil Under Electrothermal Ageing
ABSTRACT During long‐term operation of converter transformers, the internal oil–pressboard insulation undergoes irreversible degradation. Partial discharge in the weakened insulation will cause the formation of a large number of bubbles in the insulating oil.
Hongbin Wu +7 more
wiley +1 more source
ABSTRACT To solve the ion‐flow field of ultrahigh‐voltage direct current (UHVDC) transmission lines under strong‐wind scenarios, the multiple relaxation time lattice Boltzmann method (MRT‐LBM) is adopted. Compared with previous ion‐flow studies predominantly based on the single relaxation time LBM, the MRT‐LBM framework provides improved numerical ...
Ting Zhu, Rongbin Wang, Haidong Wang
wiley +1 more source

