Results 71 to 80 of about 152,360 (260)
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Distributed Metadata with the AMGA Metadata Catalog
CoRR, 2006 6 pages, 3 figures, to appear in Workshop on Next-Generation Distributed Data Management - HPDC ...
Nuno Santos, Birger Koblitz
openaire +2 more sources
Advanced Science, EarlyView.Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
A Robust, Format-Agnostic Scientific Data Transfer Framework
Data Science Journal, 2016 The olog approach of Spivak and Kent (PLoS ONE 7, 1 (2012) p e24274) is applied to the practical development of data transfer frameworks, yielding simple rules for construction and assessment of data transfer standards.
James Hester
doaj +1 more source
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
Advanced Science, EarlyView.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
Advanced Science, EarlyView.Comparative antennal single‐nucleus transcriptomics reveals cell‐type‐dependent transcriptomic divergence in Bactrocera dorsalis, with similar structural cells but divergent sensory neurons. This neuronal diversification is associated with a distinct ammonia‐sensing pathway, linking female attraction to bird‐dropping‐associated cues with nutritional ...
Wei Liu +7 more
wiley +1 more source
Metadata in the RC: Metadata as Context, Context as Metadata
Presentation slides from The Research Data Insider webinar on metadata in the Research Catalogue, as presented Friday September 25th by Casper Schipper from the Society for Artistic Research.
openaire +1 more source
Advanced Science, EarlyView.Global dissemination of tmexCD‐toprJ across bacterial hosts and ecological niches is accompanied by its convergence with blaKPC, blaNDM, and mcr on mobile plasmids. Recombination and acquisition of resistance modules generate distinct multidrug resistant plasmid architectures, facilitating the emergence and spread of high‐risk bacterial populations ...
Kaiwen Song +9 more
wiley +1 more source