Results 141 to 150 of about 61,817 (261)
A deep learning AI model for determining the relationship between X-Ray detectors and patient positioning in chest radiography. [PDF]
Jiang B +7 more
europepmc +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
Lattice Anchoring Stabilizes α-FAPbI<sub>3</sub> Perovskite for High-Performance X-Ray Detectors. [PDF]
Huang YH +7 more
europepmc +1 more source
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann +4 more
wiley +1 more source
Guidelines for the Selection of Scintillators for Indirect Photon-Counting X-ray Detectors. [PDF]
van Blaaderen JJ +4 more
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
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 +4 more
wiley +1 more source
Single-Step Synthesis of Cs<sub>3</sub>Bi<sub>2</sub>I<sub>9</sub> Nanocrystals for Scalable Direct X‑ray Detectors. [PDF]
Babu R +17 more
europepmc +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

