Results 151 to 160 of about 43,311 (300)
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Advanced Intelligent Discovery, EarlyView.Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
Mapping ISO 19115-1 geographic metadata standards to CodeMeta. [PDF]
PeerJ Comput Sci, 2019 Habermann T.
europepmc +1 more source
Western States Dublin Core Metadata Best Practices Version 1.2
, 2003 The Western States Digital Standards Group (WSDSG) Metadata Working Group developed this best practices standard. Mountain West Digital Library (MWDL) used this standards document to guide digital collections metadata creation from approximately 2003 ...
Western States Digital Standards Group Metadata Working Group
core
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
FAANG, establishing metadata standards, validation and best practices for the farmed and companion animal community. [PDF]
Anim Genet, 2018 Harrison PW +8 more
europepmc +1 more source
Celebrating 10 Years of Government of Canada Metadata Standards
, 2010 As the Dublin Core Metadata Initiative celebrates its 15th anniversary, the Government of Canada (GC) celebrates its 10th year of making information easier to find. The Government of Canada officially adopted the Dublin Core as its core metadata standard
Bain, Leigh +3 more
core
Advanced Intelligent Discovery, EarlyView.A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Metadata Quality for Digital Libraries
, 2008 The quality of metadata in a digital library is an important factor in ensuring access for end-users. Several studies have tried to define quality frameworks and assess metadata but there is little user feedback about these in the literature.
Chan, Chu-Hsiang
core
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury +4 more
wiley +1 more source