Results 101 to 110 of about 240,959 (297)
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy +3 more
wiley +1 more source
Optimization of Storage and Retrieval Strategies in Warehousing Based on Enhanced Genetic Algorithm
The Shuttle-Based Storage and Retrieval System (SBS/RS) faces challenges of low efficiency due to the constraints of single outbound or inbound operations.
Pengfei He +3 more
doaj +1 more source
Experimentally-implemented genetic algorithm (Exp-GA): toward fully optimal photovoltaics
The geometry and dimension design is the most critical part for the success in nano-photonic devices. The choices of the geometrical parameters dramatically affect the device performance. Most of the time, simulation is conducted to locate the suitable geometry, but in many cases simulation can be ineffective.
Yan Kai, Zhong +4 more
openaire +2 more sources
Hybrid magnetic microdiscs with customizable size and composition are engineered through refined photolithography and LbL assembly. Embedded Fe3O4 nanoparticles enable localized, non‐cytotoxic heating, while protein cargos can be incorporated in tunable quantities.
Daniela Iglesias‐Rojas +13 more
wiley +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
In order to achieve the optimal design based on some specific criteria by applying conventional techniques, sequence of design, selected locations of PSSs are critical involved factors.
Dechanupaprittha, Sanchai +5 more
core +1 more source
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley +1 more source
Faults locating of power distribution systems based on successive PSO-GA algorithm
As the terminal of the power system, the distribution network is the main area where failures occur. In addition, with the integration of distributed generation, the traditional distribution network becomes more complex, rendering the conventional fault ...
Wenzhang Xu +3 more
doaj +1 more source
Optimum trajectory planning for a planar redundant manipulator which consumes minimum power is considered in this paper. The equations of motion for the manipulator are derived in matrix form using Lagrange Equation.
Mohamed M.Y.B. Elshabasy +2 more
doaj +1 more source
Dual Population Genetic Algorithm (GA) versus OpenMP GA for Multimodal Function Optimization
algorithms (GAs) are useful for solving multimodal problems. It is quite difficult to search the search space of the multimodal problem with large dimensions. There is a challenge to use all the core of the system. The Dual Population GA (DPGA) attempts to explore and exploit search space on the multimodal problems.
M. S. Joshi, A. J.Umbarkar
openaire +1 more source

