Results 101 to 110 of about 25,989 (318)
Use Artificial Neural Networks to Predict Seepage in the Hilla Canal Regulator
The variation in the seepage under hydraulic structures significantly impacts their stability and effective water management, especially considering recent water scarcity challenges.
Ruaa M. khazaal, Maysam Th. AI-Hadidi
doaj +1 more source
This review provides a comprehensive exploration of microstructure regulation strategies for multi‐principal element alloy‐based films and coatings, with a focus on the interplay between elemental composition, nanoscale architecture, heterostructures and interfacial engineering in tailoring their properties and functions. A systematic analysis of their
Jiaming Cao +4 more
wiley +1 more source
Improving distribution models of riparian vegetation with mobile laser scanning and hydraulic modelling. [PDF]
Nylén T +7 more
europepmc +1 more source
A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies +14 more
wiley +1 more source
Urban flood numerical modeling and hydraulic performance of a drainage network: A case study in Algiers, Algeria [PDF]
El khansa Lameche +8 more
openalex +1 more source
A novel strategy is developed by doping reduced graphene oxide (rGO) into a (HfZrTi)C medium‐entropy ceramic. This induces a hierarchical strain modification mechanism, synergistically inhibiting crack propagation at the microscale and dissipating stress at the mesoscale.
Junyi Xiao +8 more
wiley +1 more source
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Modeling of hydraulic flows from overflows in dams using computer simulation tool
Joël Viltus
openalex +1 more source

