Results 151 to 160 of about 32,005 (324)

Study on the Temporal and Spatial Evolution Mechanism of Rotating Cavitation in the First Stage Impeller of LNG Submersible Pump With Two‐Stage Splitter Blades

Energy Science &Engineering, EarlyView.
ABSTRACT This study establishes a full‐flow passage numerical model of an LNG submerged pump equipped with two‐stage splitter blades through three‐dimensional modeling. Numerical simulations validated by liquid nitrogen experiments demonstrate that at 1.4 times the design flow rate, the peak efficiency reaches 60.6%, with a maximum head of 194.93 m ...
Songyu Yao, Weibin Zhang, Dingqi Zhang, Qifeng Jiang, Chenyu Wang   +4 more
wiley   +1 more source

A General Approach to Dropout in Quantum Neural Networks

Advanced Quantum Technologies, EarlyView., 2023
Randomly dropping artificial neurons and all their connections in the training phase reduces overfitting issues in classical neural networks, thus improving performances on previously unseen data. The authors introduce different dropout strategies applied to quantum neural networks, learning models based on parametrized quantum circuits.
Francesco Scala, Andrea Ceschini, Massimo Panella, Dario Gerace   +3 more
wiley   +1 more source

Euler-Seidel method for certain combinatorial numbers and a new characterization of Fibonacci sequence

Open Mathematics, 2009
Mező István, Dil Ayhan
doaj   +1 more source

Integer Points in Polyhedra—Geometry, Number Theory, Representation Theory, Algebra, Optimization, Statistics

, 2008
Velleda Baldoni, Nicole Berline, Michèle Vergne   +2 more
openalex   +2 more sources

Explosion Characteristics of Layered Wood Dust With High Pressure Oxygen

Energy Science &Engineering, EarlyView.
ABSTRACT Dust explosions have been extensively investigated for process safety. This study introduces an explosion mode involving layered wood dust and high‐pressure oxygen. Unlike atmospheric air conditions, layered wood dust can be triggered by weak ignition energy (60 J) in high‐pressure oxygen environments.
Ze He, Hai‐Tao Yang, Zi‐Jun Chen, Hong‐Hao Ma, Xi‐Liang Zhang, Lu‐Qing Wang, Zhao‐Wu Shen   +6 more
wiley   +1 more source

Benefits of Open Quantum Systems for Quantum Machine Learning

Advanced Quantum Technologies, EarlyView., 2023
Quantum machine learning (QML), poised to transform data processing, faces challenges from environmental noise and dissipation. While traditional efforts seek to combat these hindrances, this perspective proposes harnessing them for potential advantages. Surprisingly, under certain conditions, noise and dissipation can benefit QML.
María Laura Olivera‐Atencio, Lucas Lamata, Jesús Casado‐Pascual   +2 more
wiley   +1 more source

CAML: Commutative Algebra Machine Learning─A Case Study on Protein-Ligand Binding Affinity Prediction. [PDF]

J Chem Inf Model
Feng H, Suwayyid F, Zia M, Wee J, Hozumi Y, Chen CL, Wei GW.   +6 more
europepmc   +1 more source

Newton polygons of higher order in algebraic number theory

, 2011
Jordi Guàrdia, Jesús Sanz Montes, Enric Nart   +2 more
openalex   +1 more source

Numerical Investigation of Turbulent Mixed Convection Between Coaxial Cylinders and the Inner Rotating Cylinder With Axial Flow

Energy Science &Engineering, EarlyView.
ABSTRACT The turbulent flow between coaxial cylinders, particularly when the inner cylinder is rotating, exhibits complex hydrodynamic and heat transfer behaviors critical for various engineering applications. Although many previous studies have simplified these systems with idealized assumptions, real‐world scenarios involve mixed convection and ...
Tohid Adibi, Seyed Esmail Razavi, Shams Forruque Ahmed, Parvaneh Alizadeh Bonab, J. C. Debnath, Hammad Alotaibi   +5 more
wiley   +1 more source

Fusion 3-Categories for Duality Defects. [PDF]

Commun Math Phys
Bhardwaj L, Décoppet T, Schäfer-Nameki S, Yu M.   +3 more
europepmc   +1 more source