Results 201 to 210 of about 823,231 (362)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Full-Length 16S rRNA Amplicon Sequencing for the Simple and Simultaneous Detection of Multiple Probiotic Species in Commercial Products. [PDF]

J Microbiol Biotechnol
Kim GE, Gwak YS, Bae CI, Jeong KC, Kim MJ.   +4 more
europepmc   +1 more source

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

Advanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice, Krzysztof S. Stopka, Michael D. Sangid   +2 more
wiley   +1 more source

An integrated multiscale imaging workflow to resolve intracellular co-pathology in human FFPE brain tissue. [PDF]

Free Neuropathol
Schreiner S, de la Maza MM, Darricau M, Bouvier DS.   +3 more
europepmc   +1 more source

On the issue of automating the workflow design based on algebra-algorithmic and ontological tools

, 2019
The article presents the concept of a system for automated workflow design based on algebra-algorithmic and ontological tools. The previously developed applied ontology for program design has been expanded with new concepts related to the workflow design.
Ovdii, O.M.
core  

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Artificial Intelligence (AI) Readiness to Support Evidence Synthesis by Workflow: Findings From a Review of Reviews. [PDF]

Campbell Syst Rev
Wei Z, Ngongoma L, Cols J, Bogdan AL, Lin A, Zhang C, Su Y, de Jesus Ximenes N, Zhu C, Ackerman Y, Bullock HL, Hu J, Su Y.   +12 more
europepmc   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

How productive emergency physicians work: a qualitative interview study of clinical workflow in the emergency department. [PDF]

Scand J Trauma Resusc Emerg Med
Berglund M, Piroozam L, Golmann J, Bohm K, Kopaczek-Styczen M, Yang LJ, Sondén A, Liu J, Ängeby K.   +8 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
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, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source