Optimal binning of correlated measurements
Year: 2026
Type: article
Source: The Journal of Chemical Physics
DOI: 10.1063/5.0334764
Institutions: Oak Ridge National Laboratory, Center for Nanophase Materials Sciences, Institut Laue-Langevin, Louisiana State University, National Tsing Hua University, National Center for Theoretical Sciences, National Center for Theoretical Sciences, Physics Division, Massachusetts Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Awards: Assistance Project for Processing Big Observational Data by Data Science — Collaborating with Artificial Intelligence for Image Reconstruction, Biomolecular Modeling, and Image Processing/Analysis on the Big Data Generated by Synchrotron Radiation( II ), G2049548230, Investigate Microstructural and Mechanical Responses of Complex Soft Matter to External Stimuli and Thermodynamic Variations Using Scattering, Simulation, and Machine Learning( I ), Assistance Project for Processing Big Observational Data by Data Science — Collaborating with Artificial Intelligence for Image Reconstruction, Biomolecular Modeling, and Image Processing/Analysis on the Big Data Generated by Synchrotron Radiation( I ), G8053029320, G807938293, Cultivation and Promotion of Taiwan Neutron Research at Ansto( II )
OpenAlex ID: W7212041024