Results 131 to 140 of about 404,880 (334)
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
A History and Guide to Judaic Encyclopedias and Lexicons, by Shimeon Brisman
Zachary Baker
openalex +2 more sources
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan +8 more
wiley +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
DuELME: a Dutch electronic lexicon of multiword expressions [PDF]
Nicole Grégoire
openalex +1 more source
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
P2.16F.03 Development of a Patient-Friendly Lung Cancer Lexicon [PDF]
Jeremy Feldman +5 more
openalex +1 more source
A Brief Review of Synonyms and Properties of Guduci (Tinospora cordifolia (Thunb.) Miers) from Selected Nighantus (Ayurvedic Drug Lexicons) [PDF]
Sujithra Ram Manohar +3 more
openalex +1 more source
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 common African lexical core of the Upper Guinea Creoles and its historical significance
n this paper, we scrutinize and compare the African lexical elements shared by several varieties of Upper Guinea Portuguese Creoles, belonging to the three branches of this group: (i) Continental (Bissau, Cacheu, Casamance, and Geba), (ii) Insular ...
Nicolas Quint, Karina Moreira Tavares
doaj

