Results 181 to 190 of about 3,213 (251)

Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]

Sci Rep
Qureshi H, Altmeyer S, Zubair M.
europepmc   +1 more source

Joint Identification of Groundwater Contamination Source and Heterogeneous Hydrogeological Parameters in LNAPL‐Contaminated Sites Based on Deep Convolutional Encoder‐Decoder Neural Networks

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Accurate identification of nonaqueous phase liquid (NAPL) contamination sources is critical in pollution management. However, the joint inversion of source characteristics and heterogeneous hydrogeological parameters faces two major challenges.
Jiannan Luo, Aimin Cai, Xi Ma, Yong Liu, Yefei Ji, Bishan Meng, Wenxi Lu   +6 more
wiley   +1 more source

A multi-compartment homogenized perfusion model for deforming hierarchical vasculature. [PDF]

Biomech Model Mechanobiol
Hohl J, Ebrahem A, Jessen E, Ten Eikelder MFP, Schillinger D.   +4 more
europepmc   +1 more source

A Novel Approach to Characterize and Model Drywell Infiltration Capacity

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Drywells are vadose‐zone wells constructed for infiltration and recharge, typically positioned far above the water table. They provide for efficient infiltration, with high infiltration rates per land area, because the infiltration process is below the land surface.
Tamir Kamai
wiley   +1 more source

Artificial neural network optimization of gyrotactic microbes in water hybrid nanoliquid with carbon nanotubes using modified Hamilton crosser model. [PDF]

Discov Nano
Abbas M, Darem AA, Elhag AB, Alhashmi AA, Alkhaldi TM, Farkhad DR, Bayram M.   +6 more
europepmc   +1 more source

Overall Prediction of Breakthrough Curves in Fracture Networks Using Graph‐Based Simulation and Machine Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Discrete fracture network (DFN) models are widely used to simulate fluid and solute transport through fracture networks that serve as their preferential pathways. In DFN models, fractures are generated stochastically based on fracture properties.
S. Okamoto, K. Nakata, K. Mori, T. Saito
wiley   +1 more source

The Clausius-Mossotti Factor in Dielectrophoresis: A Critical Appraisal of Its Proposed Role as an 'Electrophysiology Rosetta Stone'. [PDF]

Micromachines (Basel)
Pethig R.
europepmc   +1 more source

Exploring the Influence of Morphologic Heterogeneity and Discharge on Downstream Transport in Streams With Multiple Logjams: 2. Insight From Numerical Models

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Logjams in streams create complex morphologic features such as pools, bars, and branching channels that enhance stream water storage and force water through the streambed. We examine how these features alter solute retention in stream corridors as discharge increases, backwaters expand, new channels activate, and jams become more submerged ...
Xiaolang Zhang, Audrey H. Sawyer, Kamini Singha, Ellen Wohl   +3 more
wiley   +1 more source

Entropy generation and regression analysis of unsteady Carreau ternary hybrid nanofluid flow with electromagnetic and thermal influences. [PDF]

Discov Nano
Sindhu T, Jagadeeshkumar K.
europepmc   +1 more source

Pore‐Scale Flow Dynamics Control Capillary Pressure‐Saturation‐Interfacial Area Relations in Multiphase Porous Media

Water Resources Research, Volume 62, Issue 8, August 2026.
Abstract Capillary pressure–saturation relationships are central to modeling multiphase flow in porous media, yet conventional formulations often neglect how pore‐scale flow organization and interfacial geometry evolve during displacement. Here, we investigate curvature‐derived capillary pressure during immiscible two‐phase displacement using ...
Nong Kang, Shuangmei Zou, Hanyini Tao, Yirui Jiang, Zhenghuai Guo, Shuai Li, Ryan Armstrong, Xiangyun Hu   +7 more
wiley   +1 more source