Results 141 to 150 of about 269,061 (300)

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Rethinking digital preservation : definitions, models, and requirements [PDF]

open access: yes, 2017
Purpose: This paper aims to clarify a mechanism for determining the robustness of digital preservation options given that the field has matured and contains a number of alternatives. Design/methodology/approach: By examining the component activities
Wilson, Thomas
core  

The PRIMA Thesaurus for Materials Science and Engineering

open access: yesAdvanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa   +8 more
wiley   +1 more source

Digital Preservation Center of NSLC [PDF]

open access: yes, 2013
This paper briefly introduces the Digital Preservation Center of National Science Library, Chinese Academy of Sciences (NSLC), its digital preservation system, preservation services and future work.This paper briefly introduces the Digital Preservation ...
Wu ZX(吴振新)
core  

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Digital Preservation: A Campus-Wide Perspective [PDF]

open access: yes, 2005
ECAR Research Bulletin 19 follows up this bulletin with more details on KU's proposed actions in creating an integrated digital preservation program.Preservation of digital content is an emerging aspect of the academy's stewardship responsibility.
Ludwig, Deborah   +2 more
core  

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

The KB e-Depot digital archiving policy [PDF]

open access: yes, 2006
Purpose: Electronic journals dominate the field of academic literature, and it is of great importance to the international scientific community that this electronic intellectual output remains accessible in perpetuity. In this paper we discuss the policy
van Wijngaarden, Hilde, Oltmans, Erik
core  

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

open access: yesAdvanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari   +5 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

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