Results 191 to 200 of about 161,542 (309)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
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
A Hybrid Metaheuristic for High-Dimensional Constrained Optimization: Applications to Logistics and UAV Path Planning. [PDF]
Li Y, Qin C.
europepmc +1 more source
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
A novel distributed gradient algorithm for composite constrained optimization over directed network. [PDF]
Ou M, Zhang H, Yan Z, Yang Z, Ran H.
europepmc +1 more source
Orbital Geometry‐Governed Response of Pressure‐Tunable Quantum Defects in hBN
Defects in hBN act as ultrasensitive quantum manometers when the energy of the intradefect optical transitions is modified by lattice compression. The orbital geometry of the electron wave functions governs how electron hopping and Coulomb interactions react uniquely to the reduction of the van der Waals gap and in‐plane compression, leading to robust ...
Magdalena Grzeszczyk +6 more
wiley +1 more source
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Application of pattern search method to power system valve-point economic load dispatch
Direct search (DS) methods are evolutionary algorithms used to solve constrained optimization problems. DS methods do not require any information about the gradient of the objective function at hand, while searching for an optimum solution.
AL-Othman, A.K. +2 more
core
Adjoint-based PDE-constrained optimization of viscoelastic floating membrane for maximum wave power absorption. [PDF]
El Sayed K +3 more
europepmc +1 more source
Energy Constrained Optimization for Spreading Factor Allocation in LoRaWAN. [PDF]
Narieda S, Fujii T, Umebayashi K.
europepmc +1 more source
A gradient M/MOx (M = Sn, Cu, Cd) synergistic interphase was constructed on Al via a one‐step displacement reaction. This interphase leverages high aluminophilicity and ion‐buffering capability to accelerate desolvation, enhance Al3+ transport, and suppress side reactions, enabling ultrastable symmetric cell operation at 0.05 mA cm−2 for 1800 h with an
Shuang Cheng +7 more
wiley +1 more source

