Results 91 to 100 of about 702,812 (292)
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Developing measures of L2 Korean vocabulary knowledge
Vocabulary knowledge plays an important role in language learning and language proficiency, but it is difficult to know how much of a role it plays without appropriate vocabulary measures.
Daniel R. Isbell +2 more
doaj +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
ESTIMATING STUDENTS' VOCABULARY KNOWLEDGE BY USING VOCABULARY SIZE TEST
Abstract Assessing vocabulary is a crucial issue among the linguists, how many words are needed to understand a spoken or written English text. This paper describes the use of Vocabulary Size Test (VST) – a test to measures written receptive vocabulary size to estimate students’ vocabulary knowledge.
Hidayat, Hamdan +2 more
openaire +1 more source
Language counts: Early language mediates the relationship between parent education and children\u27s math ability [PDF]
Children\u27s early math skills have been hailed as a powerful predictor of academic success. Disparities in socioeconomic context, however, also have dramatic consequences on children\u27s learning.
Ribner, Andrew +2 more
core +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
Learning novel sound patterns [PDF]
The acquisition of vocabulary represents a key phenomenon in language acquisition, yet it is still poorly understood. Gathercole and colleagues have recently provided a rigorous test of vocabulary knowledge (the nonword repetition test, Gathercole ...
Gobet, F, Jones, G, Pine, J M
core
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
THE INFLUENCE OF WATCHING ENGLISH MOVIES ON THE STUDENTS’ KNOWLEDGE IN ENGLISH VOCABULARY AT THE SECOND GRADE STUDENTS OF SMA NEGERI 3 CIREBON [PDF]
KOMALA DEWI: “The ifluence of Watching English Movies on The Studens’ Knowledge in English Vocabulary at The Second Grade Stusents of SMA Negeri 3 Cirebon”.
KOMALA DEWI,
core
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source

