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
AI-based services for inclusive language learning in immersive XR environments: Speech translation, and sign language integration. [PDF]
Tantaroudas ND +3 more
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
The Impact of Hospitals on Language Learning: A Case Study of a 3-Year-Old Boy With Developmental Delay Who Needed Augmentative and Alternative Communication. [PDF]
Gormley J, Fiala M, Weis E, Light J.
europepmc +1 more source
Autonomous laboratories can now synthesize materials faster than experts can interpret the resulting diffraction data. A probabilistic framework combines refinement‐fit metrics with large language model‐derived chemical reasoning to rank competing phase interpretations and flag those unsuitable for autonomous use.
Olympia Dartsi +7 more
wiley +1 more source
A follow-up study on the effect of exercise intervention on the executive functions of typical primary students and language learning difficulties. [PDF]
Shi H, Pan J, Tan Y, Zeng C, Zhang L.
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Beyond tool use: how ecological coupling configures AI's empowerment for language learning engagement. [PDF]
Ge L, Xia Y, Yang C.
europepmc +1 more source
Academic jealousy, attitudes, and motivation in relation to foreign language learning effort: a structural equation modeling approach. [PDF]
Ayçiçek B, Orakci Ş.
europepmc +1 more source

