Results 151 to 160 of about 2,419,433 (298)

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

Laser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis, Demet Baldan Desdemir, Enes Akcakoca, Zeynep Ipek Yanmaz, Gulzade Polat, Ahmet Onur Dasdemir, Aytug Aydogan, Abdullah Magden, Emir Salih Magden   +8 more
wiley   +1 more source

Robust topology and dispatch optimization for renewable distribution networks with electric vehicle mobility uncertainty. [PDF]

Sci Rep
Xu L, Jiang J, Hu S, Wang T, Dong J.
europepmc   +1 more source

A Self‐Evolving Agentic Framework for Metasurface Inverse Design

Laser &Photonics Reviews, EarlyView.
Turning a target optical response into working inverse‐design code normally demands specialized computational‐electromagnetics and software‐engineering expertise. A self‐evolving agentic framework lowers this barrier: from a natural‐language request, it writes the optimization code that drives a physical solver and improves itself by revising human ...
Yi Huang, Bowen Zheng, Yunxi Dong, Hong Tang, Huan Zhao, S. M. Rakibul Hasan Shawon, Hualiang Zhang   +6 more
wiley   +1 more source

Adaptive Localization for Underwater Nodes in Uncertain Environments: A Geometric Topology Perception-Enhanced Multi-Stage Reinforcement Learning Strategy. [PDF]

Sensors (Basel)
Hao L, Ma C, Cui J, Ao J.
europepmc   +1 more source

Mass Spectrometry‐Based Extracellular Vesicle Proteomics for Biomarker Discovery

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Extracellular vesicle (EV) proteomics has emerged as a powerful platform for decoding intercellular communication and advancing biomarker discovery across human diseases. EVs carry proteins that reflect their cells of origin, offering a minimally invasive window into physiological and pathological processes.
Ya‐Juan Liu, Juan Peng, Chao Kang
wiley   +1 more source

A stochastic model for dynamic reconfiguration of multi-microgrid networks under demand and supply uncertainties. [PDF]

Sci Rep
Yahia Z, Gheith M.
europepmc   +1 more source

A Method for Shaoe and Topology Optimization of Mechanical Structures by Using Genetic Algorithm. 3rd Report. A Deterministic Approach with A Single Individual by Using Removal and Addition parameters.

TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series A, 1998
SUZUKI, Yusaku, TSURUTA, Yasushi, KAWAMO, Keishi   +2 more
openaire   +2 more sources

DataEX‐Sc: A Specialized Parsing Model for Materials Science Scatter Plots Based on Multi‐Strategy Fusion and Bidirectional Optimization

Materials Genome Engineering Advances, EarlyView.
We present DataEX_Sc, a specialized model for parsing scatter plots, to make valuable contributions to data‐driven materials science. It improves accuracy by 0.23 (absolute F1 gain when relative error threshold = 0.02) over full‐automatic tools and boosts efficiency by 80% compared with semi‐automated tools.
Qianxue Tang, Guisen Liu, Zhuliang Li, Lei Zhang, Yao Shen   +4 more
wiley   +1 more source

Optimization and Deployment of Real-Time On-Orbit Intelligent Interpretation Algorithms for Spaceborne Remote Sensing. [PDF]

Sensors (Basel)
Li C, Jiang H, Li Y, Xie H, Wang Y, Fan Y.   +5 more
europepmc   +1 more source

Interdiction Models and Heuristics for Graph Propagation

Networks, EarlyView.
ABSTRACT Given a graph G=(V,E)$$ G=\left(V,E\right) $$ and a set S⊂V$$ S\subset V $$ of activated/infected nodes, we consider the problem of determining the set of c$$ c $$ nodes that minimizes the network propagation on the subgraph that results from the removal of those c$$ c $$ nodes. To measure network propagation, we assume that a node i$$ i $$ is
Agostinho Agra, José Maria Samuco
wiley   +1 more source