1. Adaptive sampling for accelerating neutron diffraction-based strain mapping*This manuscript has been authored by UT-Battelle, LLC, under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan(http://energy.gov/downloads/doe-public-access-plan). Issue 2 (1st June 2023) Authors: Venkatakrishnan, S V; Fancher, Chris M; Ziatdinov, Maxim; Vasudevan, Rama; Saleeby, Kyle; Haley, James; Yu, Dunji; An, Ke; Plotkowski, Alex Journal: Machine learning: science and technology Issue: Volume 4:Issue 2(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗