Results 71 to 80 of about 66,918,658 (250)
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source
A particle swarm optimization based memetic algorithm for dynamic optimization problems [PDF]
Copyright @ Springer Science + Business Media B.V. 2010.Recently, there has been an increasing concern from the evolutionary computation community on dynamic optimization problems since many real-world optimization problems are dynamic.
Wang, H +11 more
core +1 more source
Application of QPSO-BPSO in fault self-healing of distributed power distribution networks
With the widespread application of distributed power sources in distribution networks, fault self-healing technology has become the key to ensuring the reliability of power systems.
Xuan Liu, Meng Liu, Hong Yin
doaj +1 more source
The increasing integration of electric vehicles (EVs) and renewable energy sources is transforming modern residential energy systems, creating new opportunities for cost reduction and energy resilience. However, uncertainty in renewable generation and EV
Duy C. Huynh +4 more
doaj +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli +4 more
wiley +1 more source
Wireless Sensor Networks (WSNs) play a pivotal role in numerous Internet of Things (IoT) applications; however, their performance remains constrained by limited energy resources, inefficient clustering, suboptimal routing, and redundant data ...
MD Jiabul Hoque +2 more
doaj +1 more source
Electron‐Deficient Linkers Enhance H2O2 Electrosynthesis in Covalent Organic Frameworks
Linker π‐conjugation modulates the electronic state of the Ni–N4 centers and their interaction with the key *OOH intermediate while preserving the primary coordination motif. NiPc‐PTDA delivers an H2O2 selectivity of 92% and a production rate of 34.8 mol gcat−1 h−1, highlighting linker electronic properties as a molecular design parameter for NiPc ...
Houting Xie +7 more
wiley +1 more source
A tunable radial basis function model for nonlinear system identification using particle swarm optimisation [PDF]
A tunable radial basis function (RBF) network model is proposed for nonlinear system identification using particle swarm optimisation (PSO). At each stage of orthogonal forward regression (OFR) model construction, PSO optimises one RBF unit's centre ...
Harris, C. J. +12 more
core +1 more source
In post-disaster environments, the failure of terrestrial communication infrastructure necessitates the rapid deployment of unmanned aerial vehicles (UAVs) as aerial base stations to restore wireless connectivity.
Fatima Azzahraa Amarcha +6 more
doaj +1 more source

