Towards a machine‐readable literature: finding relevant papers based on an uploaded powder diffraction pattern

A prototype application for machine‐readable literature is investigated. The program is called pyDataRecognition and serves as an example of a data‐driven literature search, where the literature search query is an experimental data set provided by the user. The user uploads a powder pattern together...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Acta crystallographica. Section A, Foundations and advances Foundations and advances, 2022-09, Vol.78 (5), p.386-394
Hauptverfasser:	Özer, Berrak, Karlsen, Martin A., Thatcher, Zachary, Lan, Ling, McMahon, Brian, Strickland, Peter R., Westrip, Simon P., Sang, Koh S., Billing, David G., Ravnsbæk, Dorthe B., Billinge, Simon J. L.
Format:	Artikel
Sprache:	eng
Schlagworte:	Chemistry CIF Crystallography Data search data similarity Databases, Factual data‐driven literature search Diffraction patterns machine‐readable scientific literature Powder Powder Diffraction Powders Radiation Research Papers
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!