Results 81 to 90 of about 125,701 (217)
Swiss CPI microdata for research: data structure, panel construction, and applications
This paper describes the microdata underlying the Swiss Consumer Price Index (CPI) and provides a fully reproducible pipeline for their use in empirical research. It documents the features most relevant for research—product hierarchy, collection methods,
Barbara Rudolf, Pascal Seiler
doaj +1 more source
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
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Transient simulation of multi-product pipeline driven by flow mechanisms and operational data
Objective Multi-product pipelines often operate under frequently switched conditions, making it crucial to accurately monitor flow parameters during transitions and understand the changes in hydraulic states at high and low points along these pipelines ...
Jian DU +5 more
doaj +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
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
The article provides an analysis of the problems of precipitation of asphalt-resin-paraffin deposits on the inner surface of the walls pipelines. The problem of numerical modeling of the temperature field of the heated oil pipeline in the ANSYS software ...
Maria K. Artur +2 more
doaj +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
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
A generative AI framework for digital twin maintenance in dynamic retail environments
Traditional methods, which rely on retraining pre-trained models with specific datasets, are impractical in dynamic retail environments where product offerings and designs frequently change.
Sérgio Teixeira, Rafael Arrais
doaj +1 more source

