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
Investigating Communication Support Strategies as 'Micro-Interventions': A Conceptual-Methodological Framework Applying Realist Evaluation and Relevance Theory. [PDF]
Jagoe C, Conica M, Wharton T, Zakaria M.
europepmc +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
The SPA-cube framework: An integrated approach for analysing power dynamics in environmental governance. [PDF]
Sahide MAK +5 more
europepmc +1 more source
Promoting the Implementation of Co-Produced Cochrane Evidence: An Exploratory Study of Improving Partnering With Consumers. [PDF]
Merner B +7 more
europepmc +1 more source
Meanings and practices of solidarity in global health: a qualitative investigation - study protocol. [PDF]
Nouvet E +8 more
europepmc +1 more source
Examining the roles, relationships and power dynamics shaping universal health system policy processes in high- and upper-middle-income countries: a scoping review. [PDF]
Mac Conghail L +3 more
europepmc +1 more source
AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence.
Alamoudi A +3 more
europepmc +1 more source

