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Data · dataset · 2024

Datasets for the paper "Large Scale Raman Spectrum Calculations in defective 2D materials using Deep Learning"

Listed in Borealis

Description

This contains the graphene and hexagonal boron nitride datasets used to train the models described in the paper "Large Scale Raman Spectrum Calculations in defective 2D materials using Deep Learning". They are in the ASE format as described here: wiki.fysik.dtu.dk/ase/tutorials/tut06_database/database.html

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Where it is published

Catalogue records · 1

Topics

Stated by source
Physics
From keywords
Physics
Inferred from text
Condensed matter physics 70%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
Borealisdoi:10.5683/SP3/APCQ0013 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:5104enrichment · borealisdata cataxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:physicssource · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
concepts[field].local:field:physicsmapping · borealisdata caconnector:borealisdata_ca@1.0.0/subjects
created_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
descriptionsource · borealisdata caconnector:borealisdata_ca@1.0.0/description
publication_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
titlesource · borealisdata caconnector:borealisdata_ca@1.0.0/name
updated_datesource · borealisdata caconnector:borealisdata_ca@1.0.0
version_labelsource · borealisdata caconnector:borealisdata_ca@1.0.0