Results 121 to 130 of about 64,104 (342)

Stability of Perovskite Indoor Photovoltaics: A Focused Review and a Call for Standardized Stability Reporting

open access: yesAdvanced Energy Materials, EarlyView.
While perovskite solar cells have been widely studied, including their stability, perovskite indoor photovoltaics (IPVs) have only recently emerged. Nevertheless, more studies are appearing in the literature. The systematic stability study of IPVs is crucial, particularly given the inconsistencies in reported methodologies and results, which call for ...
Ivy Mawusi Asuo   +7 more
wiley   +1 more source

IVOA Recommendation: Data Model for Astronomical DataSet Characterisation

open access: yes, 2011
This document defines the high level metadata necessary to describe the physical parameter space of observed or simulated astronomical data sets, such as 2D-images, data cubes, X-ray event lists, IFU data, etc..
Bonnarel, Francois   +6 more
core   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Metadata functional requirements for genomic data practice and curation

open access: yesInformation Research: An International Electronic Journal
Introduction. The rapid accumulation of genomic data and their widespread reuse in clinical and scientific practice demands more effective description and organization of genomic information, which poses new challenges in developing metadata schemas ...
Hong Huang, Jian Qin
doaj   +3 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

IDI Search: a metadata search app for exploring New Zealand’s administrative linked data

open access: yesInternational Journal of Population Data Science
How can we lower barriers to reuse of linked administrative data and improve quality at the same time? Linked data resources are expensive and complex, but accompanying readily-accessible metadata supports data reuse and quality control.
Tom Elliott   +4 more
doaj   +1 more source

Metadata Schema Used in OCLC Sampled Web Pages [PDF]

open access: yesJiàoyù zīliào yǔ túshūguǎn xué, 2005
The tremendous growth of Web resources has made information organization and retrieval more and more difficult. As one approach to this problem, metadata schemas have been developed to characterize Web resources.
Fei Yu
doaj  

MoPark Initiative, Metadata Options Appraisal (Phase I) [PDF]

open access: yes, 2004
Examines – and makes recommendations on - the needs of the Loch Lomond and Trossachs National Park as regards the metadata, metadata standards, and metadata management required for the competent handling of digital materials both now and in the future.
Nicholson, Dennis
core  

Metadata Authority Description Schema (MADS): uma alternativa à utilização do formato MARC 21 para dados de autoridade [PDF]

open access: diamond, 2013
Fabrício Silva Assumpção   +1 more
openalex   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced 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

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