Results 161 to 170 of about 12,217,110 (302)

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
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, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

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

Advanced 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, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

In Situ Gas Content Prediction of Deep Coal Seams Based on Logging in the Central Linxing-Shenfu Block. [PDF]

ACS Omega
Che Y, Zou G, Peng S, She J, Wang X, Zeng H, Ren K.   +6 more
europepmc   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced 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, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Experimental study on the sand discharge characteristics of a swirling sand dredging device in a reservoir area with multiple mud and sand rivers. [PDF]

Sci Rep
Wang Z, Wang Y, Xi H, Luo T, Miao T, Liu K.   +5 more
europepmc   +1 more source

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

Advanced 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, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

The impact of the pandemic and school closures on non-cognitive characteristics : evidence from PISA [PDF]

1. This study investigates the impact of the COVID-19 pandemic on students' non-cognitive skills using data from the OECD’s PISA surveys (2012–2022). 2. It focuses on three key indicators: sense of belonging to school, growth mindset, and experiences of ...
QUINTERO PENA, Jose Wilmar, VOLANTE, Louis, DE WITTE, Kristof   +2 more
core  

Effect of deformation depth on plantar soft tissue behavior

Journal of Foot and Ankle Research, 2014
Jee Chin Teoh, Bena Lim, Taeyong Lee
doaj   +1 more source

Monte Carlo OCT simulations investigating the effect of multiple scattered light on OCT-based attenuation coefficient quantification. [PDF]

Biomed Opt Express
Buist G, Amelink A, De Boer JF.
europepmc   +1 more source

Optimization of the Production of Rubber Compounds Using Mathematical Models

Advanced Engineering Materials, EarlyView.
Rubber compounds were mixed in a batch internal mixer, and symbolic regression was used to derive mathematical models linking recipe and process parameters to ram path, torque, and mixing quality (incorporation, dispersion, distribution). Subsequent optimization with evolutionary algorithms identified operating conditions that reduce specific energy ...
Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann   +7 more
wiley   +1 more source