Results 111 to 120 of about 180,460 (261)
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 more
wiley +1 more source
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
The PRIMA Thesaurus for Materials Science and Engineering
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
REINVENTING DATA PROTECTION IN THE AI ERA: CHALLENGES FOR THE KNOWLEDGE SOCIETY [PDF]
The unprecedented expansion of artificial intelligence across all sectors of contemporary society calls into question the traditional normative architecture of personal data protection, built upon the premises of the classical information age and upon ...
Andreea BURUIANĂ
doaj
Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
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
Normative Risk Assessment in the AI Act
This work introduces the formal framework DLRisk, based on Defeasible Deontic Logic, for assessing how fundamental rights are balanced under the EU AI Act when new systems are developed. This approach enables qualitative, scenario-aware reasoning by ordering rights, capturing demotions triggered by factual conditions, and detecting collisions between ...
Ferrigno B. +3 more
openaire +1 more source
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič +7 more
wiley +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 more
wiley +1 more source
The AI Act and the Risks Posed by Generative AI Models.
This position paper presents work in progress on the foundation of the not yet finalized AI Act and discusses whether the proposed AI Act has the resources to adequately identify and mitigate the risks posed by generative AI models like LLMs. All the details of AI Act are not yet decided but after the EU Council reached a consensus on a revised version
openaire +2 more sources

