Tanny Chavez et al.: A machine-learning-driven data labeling pipeline for scientific analysis in MLExchange ##XRayScattering##DataLabeling##MachineLearning... ##IUCrhttps://journals.iucr.org/paper?S1600576725002328
A machine-learning-driven data labeling pipeline for scientific analysis in MLExchange
A web-based labeling pipeline is introduced that accelerates the annotation of large scientific data sets with artificial-intelligence-guided tagging techniques.
journals.iucr.org
May 13, 2025 at 12:01 AM
Tanny Chavez et al.: A machine-learning-driven data labeling pipeline for scientific analysis in MLExchange ##XRayScattering##DataLabeling##MachineLearning... ##IUCrhttps://journals.iucr.org/paper?S1600576725002328
Danielle N. Alverson et al.: Distinguishing isotropic and anisotropic signals for X-ray total scattering using machine learning ##XRayScattering##MachineLearning##ThinFilms... ##IUCrhttps://journals.iucr.org/paper?S2053273325002438
Distinguishing isotropic and anisotropic signals for X-ray total scattering using machine learning
Pair distribution function (PDF) analysis can provide important local structure insights; however, its application in thin films is limited to those on amorphous substrates. We report a novel data processing approach and program, IsoDAT2D, which demonstrates the feasibility of using unsupervised machine learning algorithms to access PDF data from thin films on single-crystal substrates.
journals.iucr.org
April 5, 2025 at 12:00 AM
Danielle N. Alverson et al.: Distinguishing isotropic and anisotropic signals for X-ray total scattering using machine learning ##XRayScattering##MachineLearning##ThinFilms... ##IUCrhttps://journals.iucr.org/paper?S2053273325002438
Jiayi Wang et al.: StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data ##XRayScattering##DataAnalysis##ScientificWorkflow... ##IUCrhttps://journals.iucr.org/paper?S1600577524005149
StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data
StreamSAXS has been developed as a Python-based desktop application within the SAXS/WAXS analysis system. It features a plug-in framework and seamless integration into large-scale acquisition systems for full-lifecycle data management.
journals.iucr.org
July 16, 2024 at 12:00 AM
Jiayi Wang et al.: StreamSAXS: a Python-based workflow platform for processing streaming SAXS/WAXS data ##XRayScattering##DataAnalysis##ScientificWorkflow... ##IUCrhttps://journals.iucr.org/paper?S1600577524005149
Lin Yang: X-ray scattering based scanning tomography for imaging and structural characterization of cellulose in plants ##XRayScattering##Imaging##Tomography@BrookhavenLab...##IUCrhttps://journals.iucr.org/paper?S1600577524004387
X-ray scattering based scanning tomography for imaging and structural characterization of cellulose in plants
Tomographic virtual sectioning of plant samples based on X-ray scattering intensity provides spatially resolved characterization of the structure and organization of cellulose in plants.
journals.iucr.org
June 26, 2024 at 12:00 AM
Lin Yang: X-ray scattering based scanning tomography for imaging and structural characterization of cellulose in plants ##XRayScattering##Imaging##Tomography@BrookhavenLab...##IUCrhttps://journals.iucr.org/paper?S1600577524004387