Results 81 to 90 of about 33,499 (259)
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
Gassorption analysis of in‐plane functionalized carbons reveals small, uniform ultramicropore signatures as potential artefacts of specific adsorption of the probe gases. Low‐pressure Langmuir fitting links these features to distinct functionalities via adsorption energies, enabling straightforward quantification of otherwise inaccessible surface‐site ...
Simon W. J. Dietzmann +9 more
wiley +1 more source
Misconceptions and misunderstandings hampering medical research and progress
INTRODUCTION When scientific projects or articles are evaluated, objections are often raised that may prevent their performance or publication. Sometimes, the flaws noted may not be correct or relevant to the study.
Carmen Carazo-Díaz +2 more
doaj +1 more source
This study reveals Pt single atoms anchored on distorted graphitic carbon nitride, exhibiting flexible coordination and enhanced interfacial charge transfer. Combined spectroscopy and DFT reveal asymmetric Pt─N environments that promote photoreforming of microplastics into hydrogen, demonstrating a solar‐driven pathway for plastic upcycling with ...
Ting‐Han Lin +9 more
wiley +1 more source
Optimizing Stratification in Binary Colloidal Supraparticles
Supraparticles from binary particle populations show stratification when dried at high Péclet numbers. In spray‐dried systems at high initial particle concentration and fast drying conditions optimal combinations of particle size ratios and volume fractions that produce maximal stratification are found both in experiment and simulation, contrasting the
Frederic Rudlof +5 more
wiley +1 more source
A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +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
Determinants of minsunderstandings between students and teachers [PDF]
Interpersonal relationships in the school, particularly relationships between students and teachers, are a fascinating but thus far underexplored issue which should be the constant focus of scientific research on educational theory and practice.
Radović Vera Ž. +2 more
doaj
This perspective contrasts the historical, linear progression of early AI with the dynamic, iterative nature of AI 4.0; and it describes the real‐world medical applications and the necessary evolution of laboratory infrastructure brought about by AI 4.0.
Weida Liu, Gary Peltz
wiley +1 more source

