date: 2017-03-06T10:48:03Z
pdf:PDFVersion: 1.7
pdf:docinfo:title: Learning physical descriptors for materials science by compressed sensing
xmp:CreatorTool: IOPP
access_permission:can_print_degraded: true
subject: New Journal of Physics, 19(2017) 023017. doi:10.1088/1367-2630/aa57bf
crossmarkMajorVersionDate: 2017-02-07
dc:format: application/pdf; version=1.7
pdf:docinfo:custom:robots: noindex
pdf:docinfo:creator_tool: IOPP
access_permission:fill_in_form: true
pdf:encrypted: false
dc:title: Learning physical descriptors for materials science by compressed sensing
modified: 2017-03-06T10:48:03Z
cp:subject: New Journal of Physics, 19(2017) 023017. doi:10.1088/1367-2630/aa57bf
pdf:docinfo:custom:CrossMarkDomains[1]: iop.org
robots: noindex
pdf:docinfo:subject: New Journal of Physics, 19(2017) 023017. doi:10.1088/1367-2630/aa57bf
pdf:docinfo:custom:crossmarkMajorVersionDate: 2017-02-07
pdf:docinfo:creator: Luca M Ghiringhelli
meta:author: Jan Vybiral
meta:creation-date: 2017-02-07T14:02:07Z
created: 2017-02-07T14:02:07Z
access_permission:extract_for_accessibility: true
Creation-Date: 2017-02-07T14:02:07Z
pdf:docinfo:custom:doi: 10.1088/1367-2630/aa57bf
Author: Jan Vybiral
producer: iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version)
pdf:docinfo:producer: iText® 5.5.10 ©2000-2015 iText Group NV (AGPL-version)
doi: 10.1088/1367-2630/aa57bf
pdf:unmappedUnicodeCharsPerPage: 0
dc:description: New Journal of Physics, 19(2017) 023017. doi:10.1088/1367-2630/aa57bf
Keywords: crystal-structure prediction; big-data driven materials science; compressed sensing; feature selection
access_permission:modify_annotations: true
dc:creator: Jan Vybiral
description: New Journal of Physics, 19(2017) 023017. doi:10.1088/1367-2630/aa57bf
dcterms:created: 2017-02-07T14:02:07Z
Last-Modified: 2017-03-06T10:48:03Z
dcterms:modified: 2017-03-06T10:48:03Z
title: Learning physical descriptors for materials science by compressed sensing
xmpMM:DocumentID: uuid:00567203-5623-4d6a-af55-e56ea4937aa7
Last-Save-Date: 2017-03-06T10:48:03Z
CrossMarkDomains[1]: iop.org
pdf:docinfo:keywords: crystal-structure prediction; big-data driven materials science; compressed sensing; feature selection
pdf:docinfo:modified: 2017-03-06T10:48:03Z
meta:save-date: 2017-03-06T10:48:03Z
Content-Type: application/pdf
X-Parsed-By: org.apache.tika.parser.DefaultParser
creator: Jan Vybiral
dc:subject: crystal-structure prediction; big-data driven materials science; compressed sensing; feature selection
access_permission:assemble_document: true
xmpTPg:NPages: 25
pdf:charsPerPage: 1661
access_permission:extract_content: true
access_permission:can_print: true
meta:keyword: crystal-structure prediction; big-data driven materials science; compressed sensing; feature selection
access_permission:can_modify: true
pdf:docinfo:created: 2017-02-07T14:02:07Z