Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.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
Decision Support System for Prioritizing Self-Assurance of Academic Writing Based on Applied Linguistics. [PDF]
Front Psychol, 2022 Yang Y, Nazir S.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.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
Корпус як об’єкт прикладного мовознавства (Corpus as an object of applied linguistics) [PDF]
, 2017 Тези присвячено одному із пріоритетних напрямів сучасних прикладних лінгвістичних досліджень – корпусній лінгвістиці. Сформульовано визначення поняття «корпусна лінгвістика», а також встановлено основні ознаки текстового корпусу.
Пасічник, P.
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
"The very interesting finding suggests that…": A cognitive frame-based analysis of interest markers by authors' geo-academic location in applied linguistics research articles. [PDF]
Front Psychol, 2022 Wang Q.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Revista de Lenguas para Fines Específicos, 2016 Book Review: Maurizio Gotti and Carmen Sancho Guinda (eds). (2013). Narratives in Academic and Professional Genres. Bern: Peter Lang, pp 511.
Yolanda Morató
doaj
Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom
Domínios de Lingu@gem, 2014 Book Review: MCCARTEN, J. Teaching Vocabulary: Lessons from the Corpus, Lessons for the Classroom. Cambridge: Cambridge University Press, 2007.
Raphael Marco Oliveira Carneiro
doaj +1 more source
What Still Needs to be Noted: Pseudo-Clefts in the Academic Discourse of Applied Linguistics. [PDF]
Front Psychol, 2021 Zhou H, Chen M.
europepmc +1 more source