A hybrid metaheuristic framework for robust photovoltaic model parameter estimation based on crested porcupine and differential evolution algorithms. [PDF]
Mohamed AAH +3 more
europepmc +1 more source
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley +1 more source
CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang +4 more
wiley +1 more source
Predicting students' performance on geometric problem-solving tasks: the roles of cognitive reflection, fluid intelligence, and mathematical beliefs. [PDF]
Rubio-Sánchez A +2 more
europepmc +1 more source
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi +7 more
wiley +1 more source
Fluency Is Good, but Comprehension Is Better: The Impact of Fluency and Comprehension on Mathematical Word Problem Solving. [PDF]
Treutlein A.
europepmc +1 more source
Performance Estimation and Ex Vivo Validation of Untethered Magnetic Robots in Soft Tissue
This study presents an empirical model that quantitatively predicts the step‐out frequency of screw‐type untethered magnetic robots (UMRs) in soft viscoelastic environments, including ex vivo brain tissue. By integrating key parameters into a dimensionless framework, the model enables estimation of robot performance across a range of biological ...
Leendert‐Jan W. Ligtenberg +19 more
wiley +1 more source
Stop comparing spells: a defense of mechanistic reasoning in quantitative medicine. [PDF]
Mangalam M, Kiyono K.
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source

