Results 161 to 170 of about 604,349 (295)

Application of Raman and Photoluminescence Spectroscopy to MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
Visible to near infrared luminescence of MgO is studied on MgO‐C bricks and nominally pure MgO powder, with focus on two similar sharp high‐intensity signals, at 699 and 871 nm, each surrounded by symmetrical sidebands. The nature of these sidebands is investigated by temperature‐dependent spectroscopic measurements, confirming phonon involvement by ...
Julia Richter, Felix Drechsler, Till M. J. Stadtmüller, Cameliu Himcinschi, Christos G. Aneziris, Jens Kortus   +5 more
wiley   +1 more source

OctoChemDB: An Aggregated Database for Small Molecule Identification Using High-Resolution MS Data. [PDF]

Anal Chem
Silvestre R, Martinent R, Menin L, Gasilova N, Mutel V, Portmann C, Patiny L.   +6 more
europepmc   +1 more source

Thermophysical Properties of the Desulphurization Slags With Various CaS and CaO/Al2O3 Ratio

Advanced Engineering Materials, EarlyView.
This article investigates how CaS content and the CaO/Al2O3 ratio influence the thermophysical properties of desulphurization slags. Using experimental measurements and thermodynamic simulations, this study reveals complex effects on viscosity, surface tension, and density, providing new insight into slag structure and phase behavior under ...
Eldar Salpagarov, Matheus Roberto Bellé, Anton Yehorov, Julia Richter, Olena Volkova   +4 more
wiley   +1 more source

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model. [PDF]

JCO Clin Cancer Inform
Joseph E, Vallee P, Perennec T, Wagneur N, Frenel JS, Campone M, Bocquet F, Le Borgne F.   +7 more
europepmc   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
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, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

ClinGen API platform for classification of human genetic variants. [PDF]

Cell Genom
Shah N, Farris T, Zuniga AA, Jackson AR, Arce J, Riehle K, Preston CG, Mandell ME, Wulf B, Cheung G, Yu K, Ritter DI, Jevtic D, Milinkov M, Martinovic N, Vucinic N, Mihajlovic A, Rubin AF, Cline MS, Distefano M, Griffith M, Griffith OL, Wright MW, Klein TE, Plon SE, Milosavljevic A.   +25 more
europepmc   +1 more source

Moisture Sensitivity Study Database Documentation [PDF]

, 2006
This technical memorandum provides guidelines for accessing the data stored in the University of California Pavement Research Center’s Moisture Sensitivity database. The memo also documents the structure of the database developed during the Partnered Pavement Research Center study, “Investigation of Conditions for Moisture Damage in Asphalt Concrete ...
openaire  

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Harnessing machine learning and multivariate analysis to explore global trends in Cannabis sativa research. [PDF]

J Cannabis Res
De La Hoz-M J, Montes-Escobar K, Salas-Macias CA.   +2 more
europepmc   +1 more source