Improving PaNET – The ontology of Photon and Neutron Experimental Techniques

In order to build a comprehensive understanding of all kinds of materials, the Photon and Neutron (PaN) community has been developing an increasing portfolio of experimental techniques (ET). These techniques share similarities including physical processes, experimental probes, functional dependencies, or purposes. This intricate web of techniques benefits from organisation into an ontology, known as the Photon and Neutron Experimental Technique (PaNET) ontology.We aim to highlight the existing and potential applications of this ontology. One notable application is the development of a beamline finder, as demonstrated for the PETRA III synchrotron. This tool aids users in identifying beamlines that align with their specific requirements of their scientific questions. The ontology facilitates this process by providing detailed information about available methods and techniques.The techniques listed in the ontology can be integrated into experimental datasets, thus enhancing the findability of datasets and improving data accessibility. Additionally, specifying the ET during a measurement can be used to trigger metadata schemas that are tailored to a specific technique. This ensures that the captured metadata is relevant and precise, enhancing the quality and utility of the data.We present an overview of the current status of these activities, with ideas on how you can benefit from them and the opportunities for direct involvement.

Authors

Publication Details

Journal
Desy publication database (The Deutsches Elektronen-Synchrotron)
Published
2026-01-01
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving PaNET – The ontology of Photon and Neutron Experimental Techniques

Melanie Nentwich, Sebastian Büsch, Alexander Paul Millar
Desy publication database (The Deutsches Elektronen-Synchrotron)
Machine Learning in Materials Science
article

Improving PaNET – The ontology of Photon and Neutron Experimental Techniques

Melanie Nentwich, Sebastian Büsch, Alexander Paul Millar
article en

Abstract

In order to build a comprehensive understanding of all kinds of materials, the Photon and Neutron (PaN) community has been developing an increasing portfolio of experimental techniques (ET). These techniques share similarities including physical processes, experimental probes, functional dependencies, or purposes. This intricate web of techniques benefits from organisation into an ontology, known as the Photon and Neutron Experimental Technique (PaNET) ontology.We aim to highlight the existing and potential applications of this ontology. One notable application is the development of a beamline finder, as demonstrated for the PETRA III synchrotron. This tool aids users in identifying beamlines that align with their specific requirements of their scientific questions. The ontology facilitates this process by providing detailed information about available methods and techniques.The techniques listed in the ontology can be integrated into experimental datasets, thus enhancing the findability of datasets and improving data accessibility. Additionally, specifying the ET during a measurement can be used to trigger metadata schemas that are tailored to a specific technique. This ensures that the captured metadata is relevant and precise, enhancing the quality and utility of the data.We present an overview of the current status of these activities, with ideas on how you can benefit from them and the opportunities for direct involvement.

Desy publication database (The Deutsches Elektronen-Synchrotron)
Openalex Percentile: Top 12%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Improving PaNET – The ontology of Photon and Neutron Experimental Techniques — Melanie Nentwich, Sebastian Büsch, et al. · Desy publication database (The Deutsches Elektronen-Synchrotron) (2026) | TGRS Research Map | TGRS