Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Correction: Eroglu et al. Biodistribution of Tc-99m-Labeled Solid Lipid Nanoparticles and Evaluation of Their Possibility as a Radiopharmaceutical. <i>Molecules</i> 2026, <i>31</i>, 654. [PDF]
Eroglu H, Ayan AK, Yenilmez A.
europepmc +1 more source
This paper illustrates a knowledge‐augmented dual‐track AI framework for advanced superalloy design. First, Large Language Models translate metallurgical heuristics into explicit rules to rapidly prune a vast compositional search space. Subsequently, LLM‐distilled priors safely guide a reinforcement learning agent during autonomous process optimization,
Jian Yao +9 more
wiley +1 more source
Construction of an assessment scale on STEM education for the current status of medical students in China: A cross-sectional study. [PDF]
Wang X, Xu C, Liu T, Liu N.
europepmc +1 more source
Sliding Ferroelectricity Driven Spin‐Layertronics in Altermagnetic Multilayers
Integrating sliding ferroelectricity with altermagnetism enables nonvolatile electrical control of spin and layer degrees of freedom. In bilayer CuF2, interlayer translation reverses layer‐locked spin‐split bands, establishing a multifunctional “spin‐layertronic” platform.
Rui Peng +5 more
wiley +1 more source
Disciplinary trends in spatial concept associations: a multifaceted analysis of student responses. [PDF]
Özkaya A, Turan S, Uzun A, Akhan O.
europepmc +1 more source
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley +1 more source
Hybrid modeling of science and math teachers' psychological preparedness for AI- integrated teaching environment: EGA perspective of instructional proficiency, professional motivation, technophilia and needs of training. [PDF]
Ibrahem UM +6 more
europepmc +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
An Association Among Problematic Smartphone Use, Sleep Quality, Behavioral Engagement and Academic Achievements: A Multiple Mediation Model Based on Large-Scale Data. [PDF]
Zhou D, Liu S, Liu J, Li H, Ma Y.
europepmc +1 more source

