Results 81 to 90 of about 715,331 (285)
A two‐phase workflow (OFAT screening followed by central composite design) maps how processing variables tune PFCE‐PLGA nanoparticle size, dispersity, surface charge, loading, and 19F‐MRI signal. In situ, time‐resolved synchrotron SAXS tracks albumin‐corona growth on intact dispersions and reveals PFCE‐dependent adsorption pathways.
Joice Maria Joseph +11 more
wiley +1 more source
Penalty parameter of the penalty function method
The penalty parameter of penalty function method is systematically analyzed and discussed. For the problem that Deb's feasibility-based rule doesnot give the detailed instruction as how to rank two solutions when they have the same constraint violation, an improved Deb's feasibility-based rule is presented, which can be seen as a reference standard ...
Si, Cheng Yong +4 more
openaire +1 more source
Fluorene‐functionalized spiro‐phenothiazine (PTZ‐Fl) exhibits strong Li+ affinity and thermal stability, enabling a PCE of 25.75% in small‐area cells and 22.07% in 25 cm2 modules. Under ISOS‐L3 conditions, PTZ‐Flbased devices retain over 80% efficiency after 1000 hours, demonstrating superior stability and scalability compared to spiro‐OMeTAD for next ...
Javier Urieta‐Mora +17 more
wiley +1 more source
SOLVING ENGINEERING OPTIMIZATION PROBLEMS WITH THE SWARM INTELLIGENCE METHODS
An important stage in problem solving process for aerospace and aerostructures designing is calculating their main characteristics optimization. The results of the four constrained optimization problems related to the design of various technical systems:
A. V. Panteleev, M. D. Evdokimova
doaj
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Bridgeout: Stochastic Bridge Regularization for Deep Neural Networks
A major challenge in training deep neural networks is overfitting, i.e. inferior performance on unseen test examples compared to performance on training examples.
Najeeb Khan, Jawad Shah, Ian Stavness
doaj +1 more source
This review systematically summarizes recent advances in porosity engineering of MXenes, with a focused discussion on their structure‐governed energy storage properties. A critical analysis of structure–property relationships is presented across alkali‐ion batteries, multivalent‐ion batteries, and supercapacitors.
Shude Liu +8 more
wiley +1 more source
Penalty Dynamic Programming Algorithm for Dim Targets Detection in Sensor Systems
In order to detect and track multiple maneuvering dim targets in sensor systems, an improved dynamic programming track-before-detect algorithm (DP-TBD) called penalty DP-TBD (PDP-TBD) is proposed.
Yunfei Guo, Anke Xue, Dayu Huang
doaj +1 more source
Triply‐twinned architected lattices transform deformation from bending to stretching of struts, delivering up to threefold increases in stiffness and strength across polymeric and metallic systems. High‐resolution synchrotron XCT and image‐based simulations reveal how meta‐grain architecture, defects, and AM build orientation govern failure pathways ...
David McArthur +7 more
wiley +1 more source
A meshless approach to the analysis of two-dimensional elasticity problems by the Element-Free Galerkin (EFG) method is presented. This method is based on moving least squares approximant (MLS).
Nguyen Hoai Son
doaj +1 more source

