Algorithm for Propeller Optimization Based on Differential Evolution
ComputationThis paper describes the development of a methodology for air propeller optimization using Bezier curves to describe blade geometry. The proposed approach allows for more flexibility in setting the propeller shape, for example, using a variable airfoil ...
Andry Sedelnikov +7 more
doaj +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
The global convergence properties of an adaptive QP-free method without a penalty function or a filter for minimax optimization. [PDF]
PLoS One, 2023 Su K, Liu S, Lu W.
europepmc +1 more source
Shrinkage mappings and their induced penalty functions [PDF]
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014 Many optimization problems that are designed to have sparse solutions employ the l 1 or l 0 penalty functions. Consequently, several algorithms for compressive sensing or sparse representations make use of soft or hard thresholding, both of which are examples of shrinkage mappings.
openaire +2 more sources
Impact of γ factor in the penalty function of Bayesian penalized likelihood reconstruction (Q.Clear) to achieve high-resolution PET images. [PDF]
EJNMMI Phys, 2023 Miwa K +10 more
europepmc +1 more source
, 2009 The Rayleigh-Ritz Method together with the Penalty Function Method is used to investigate the use of different types of penalty parameters. The use of artificial springs as penalty parameters is a very well established procedure to model constraints in ...
Monterrubio Salazar, Luis Emilio
core
A Holistic Stabilization of the Anode in Lithium‐Sulfur Batteries Through a Ternary Alloy Fusion
Advanced Functional Materials, EarlyView.LiTeAl anodes fabricated through a scalable thermal fusion technique holistically addresses the stability issues faced by lithium‐metal anodes in lithium–sulfur batteries. Aluminum forming a skeletal network with lithium suppresses dendrite growth and enhances energy density, while tellurium forming a robust SEI facilitates Li+‐ion flow.
Akhil Shenoy, Arumugam Manthiram
wiley +1 more source
Pickering‐Engineered Microparticles for Magnetically Guided Motion and Light‐Triggered Catalysis
Advanced Functional Materials, EarlyView.Magnetically responsive wax microparticles stabilized by hematite cubes through the Pickering emulsification strategy are developed, showing controlled size, motion, and light‐activated catalytic activity. Annealing under a magnetic field enhances their mobility and steering.
Chiara Ferlito +6 more
wiley +1 more source
A Hybrid Service Selection and Composition for Cloud Computing Using the Adaptive Penalty Function in Genetic and Artificial Bee Colony Algorithm. [PDF]
Sensors (Basel), 2022 Sefati SS, Halunga S.
europepmc +1 more source