Results 141 to 150 of about 8,892,749 (345)
Wireless network topology optimization algorithm based on discrete variables
In response to the missing discrete variables in current wireless network topology optimization, an improved particle swarm optimization algorithm based on fusion of discrete variables is proposed to obtain network discrete variables.
Qingpeng Ran
doaj +1 more source
Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar +1 more
wiley +1 more source
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Solving weapon-target assignment problem using discrete particle swarm optimization
This paper presents a discrete particle swarm optimization (DPSO) to solve weapon-target assignment (WTA) problem. The proposed algorithm sponges the advantages of PSO and GA.
Nan L(南琳) +5 more
core
Electrical‐Programming‐Free Neural Crossbars Enabled by Photochemical Weight Patterning
A flexible neural‐crossbar hardware system enabled by electrical‐programming‐free, mask‐defined, array‐parallel photochemical weight patterning is demonstrated. Trained weights are physically implemented across the array, supporting multilevel programming, bending‐stable operation and reconfiguration, substrate reuse, and low‐energy readout while ...
Hyo‐Bin Jang +5 more
wiley +1 more source
Integer linear programming for unsupervised training set selection in molecular machine learning
Integer linear programming (ILP) is an elegant approach to solve linear optimization problems, naturally described using integer decision variables. Within the context of physics-inspired machine learning (ML) applied to chemistry, we demonstrate the ...
Matthieu Haeberle +6 more
doaj +1 more source
Combining stochastic programming and optimal control to solve multistage stochastic optimization problems [PDF]
In this contribution we propose an approach to solve a multistage stochastic programming problem which allows us to obtain a time and nodal decomposition of the original problem.
Elio Canestrelli, Diana Barro
core
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Discrete optimization with polynomially detectable boundaries and restricted level sets
The paper describes an optimization procedure for a class of discrete optimization problems which is defined by certain properties of the boundary of the feasible region and level sets of the objective function.
Zinder, Y, Singh, G, Memar, J
core +1 more source
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall +4 more
wiley +1 more source

