Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering data.

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Bibliographic Details
Title: Interpretable, calibrated neural networks for analysis and understanding of inelastic neutron scattering data.
Authors: Butler KT; SciML, Scientific Computing Department, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX, United Kingdom.; Department of Materials Science and Engineering, University of Oxford, 21 Banbury Rd, Oxford OX2 6HT, United Kingdom., Le MD; ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX, United Kingdom., Thiyagalingam J; SciML, Scientific Computing Department, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX, United Kingdom.; Department of Engineering Science, University of Oxford, Parks Road, Oxford, OX1 3PJ, United Kingdom., Perring TG; ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot, OX11 0QX, United Kingdom.
Source: Journal of physics. Condensed matter : an Institute of Physics journal [J Phys Condens Matter] 2021 Apr 27; Vol. 33 (19). Date of Electronic Publication: 2021 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: IOP Pub Country of Publication: England NLM ID: 101165248 Publication Model: Electronic Cited Medium: Internet ISSN: 1361-648X (Electronic) Linking ISSN: 09538984 NLM ISO Abbreviation: J Phys Condens Matter Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1361-648X
DOI:10.1088/1361-648X/abea1c