Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
Advanced Engineering Materials, EarlyView.This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco +8 more
wiley +1 more source
Scientific DataTo explore complex biological questions, it is often necessary to access various data types from public data repositories. As the volume and complexity of biological sequence data grow, public repositories face significant challenges in ensuring that the
Nuala A. O’Leary +17 more
doaj +1 more source
The roles of the US National Library of Medicine and Donald A.B. Lindberg in revolutionizing biomedical and health informatics. [PDF]
J Am Med Inform Assoc, 2021 Miller RA, Shortliffe EH.
europepmc +1 more source
National Reference Library Plans [PDF]
, 1956 H. G. Thornton, Diego R. Martín
openalex +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
Advanced Engineering Materials, EarlyView.This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book Collection [PDF]
arXivDigital tools for text analysis have long been essential for the searchability and accessibility of digitised library collections. Recent computer vision advances have introduced similar capabilities for visual materials, with deep learning-based embeddings showing promise for analysing visual heritage. Given that many books feature visuals in addition
arxiv
The NLM indexer assignment dataset: a new large-scale dataset for reviewer assignment research. [PDF]
J Assoc Inf Sci Technol, 2023 Rae AR, Mork JG, Demner-Fushman D.
europepmc +1 more source
Adjustable Plasmonic Core–Shell Nanoparticles for Personalized Color Vision Correction
Advanced Engineering Materials, EarlyView.This study introduces a personalized solution for correcting color vision deficiency (CVD) by embedding tunable core‐shell metal nanoparticles—a common nanotechnology—into contact lenses. By customizing the nanoparticles’ optical properties to filter specific wavelengths, these lenses address individual visual impairments, enhancing color ...
Hyeonah Lee +4 more
wiley +1 more source
AlphaFold predictions of fold-switched conformations are driven by structure memorization
Nature CommunicationsRecent work suggests that AlphaFold (AF)–a deep learning-based model that can accurately infer protein structure from sequence–may discern important features of folded protein energy landscapes, defined by the diversity and frequency of different ...
Devlina Chakravarty +6 more
doaj +1 more source
Preliminary comparison of the performance of the National Library of Medicine's systematic review publication type and the sensitive clinical queries filter for systematic reviews in PubMed. [PDF]
J Med Libr Assoc, 2022 Navarro-Ruan T, Haynes RB.
europepmc +1 more source