Results 41 to 50 of about 239,466 (252)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Industrial applications of large language models
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remarkable
Mubashar Raza +4 more
doaj +1 more source
Integrating Large Language Models (LLMs) with Knowledge Graphs (KGs) enhances the interpretability and performance of AI systems. This research comprehensively analyzes this integration, classifying approaches into three fundamental paradigms: KG ...
Nourhan Ibrahim +3 more
semanticscholar +1 more source
A Dislocation Perspective on Strength and Toughness in Ceramics
Dislocations in ceramics enjoy a long but yet under‐appreciated history. The three research waves for dislocations in ceramics highlight the topic evolution over the last 90 years. This review focuses on the impact of dislocation on strength and toughness in ceramics.
Xufei Fang
wiley +1 more source
Clinical efficacy of pre-trained large language models through the lens of aphasia
The rapid development of large language models (LLMs) motivates us to explore how such state-of-the-art natural language processing systems can inform aphasia research. What kind of language indices can we derive from a pre-trained LLM?
Yan Cong, Arianna N. LaCroix, Jiyeon Lee
doaj +1 more source
BERTugues: A Novel BERT Transformer Model Pre-trained for Brazilian Portuguese
Large Language Models (LLMs) are trained for English or multilingual versions, with superior performance in English. This disparity occurs because, in the training of multilingual models, only a relatively small amount of data is added for each ...
Ricardo Mazza Zago +1 more
doaj +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Tele-LLMs: A Series of Specialized Large Language Models for Telecommunications
The emergence of large language models (LLMs) has significantly impacted various fields, from natural language processing to sectors like medicine and finance.
Ali Maatouk +3 more
doaj +1 more source
Using AI-driven Large Language Models (LLMs) in English as a Foreign Language Education [PDF]
Using Artificial Intelligence (AI) models in English language education shaped the theoretical and practical directions in Teaching English as a Foreign Language (TEFL) and its pertinent literature.
Rasha Dorgham, Lamyaa Bin Obaid
doaj +1 more source

