Results 151 to 160 of about 586,078 (308)

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

Comparison of different cleaning techniques for the removal of root canal sealer from dentine surfaces: An SEM-EDX analysis. [PDF]

Lasers Med Sci
Sagmak S.
europepmc   +1 more source

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

Behavior of Pellet Injected Li Ions into Heliotron E Plasmas

, 1996
"Li pellet injection has provided a complex plasma with a large fraction of Li ions, which is characterized by intense emissions from Li I and III.
Sergeev, V.Yu., Khlopenkov, K.V., Funaba, H., Obiki, T.", Kurimoto, Y., Besshou, S., Wakatani, M., Ida, K., Kanda, Y., Sano, F., Nagasaki, K., Kinoshita, T., Kado, S., Zushi, H., Okada, H., Sudo, S., Hamada, T., "Kondo, K., Christou, C., Sakamoto, K., Mizuuchi, T., Okamoto, T.   +21 more
core  

Filamentous multiscale characterization of the cultivation of Actinomadura namibiensis pellets for model-based prediction of labyrinthopeptin A1 biosynthesis. [PDF]

Microb Cell Fact
Liu Q, Kozanecka ZJ, Liu J, Dohnt K, Krull R, Böl M.   +5 more
europepmc   +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

High-Temperature Surface Energy and Interfacial Energy of the Molten FLiNaK-Highly Oriented Pyrolytic Graphite (HOPG) System from Selected Contact Angle Measurement. [PDF]

Ind Eng Chem Res
Braatz JM, Jung GS, Gallego NC.
europepmc   +1 more source

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

Advanced 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, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Kinematics-Based Assessment of Reaching and Grasping Movements in LRN Ablated Animals Identifies a Role for the LRN in Endpoint Stabilization and Reach Timing. [PDF]

eNeuro
Koma GT, Ross JD, Campion TJ, Rajavong J, Zhang Y, Smith GM, Spence AJ.   +6 more
europepmc   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source