Reimagining user-driven science

  • The materials scientists we work with do not want (or need) to learn the ways of the scatterer; they are primarily interested in obtaining trustworthy, authoritative answers. In particular, they need structural understanding in light of the wider framework of their experiment(s). Our interest, therefore, lies in helping them attain this this interconnected understanding, while using such investigations to further hone our methodology to approximate perfection. While perfection is by definition an unattainable goal, we have spent the last 15+ years exploring and expanding on many of its constituent aspects (often together with likeminded people) [1]. These aspects include: developing various visualization and simulation tools, deconstructing data corrections and uncertainty estimation, advancing analysis methods, quantifying questions on traceability, documentation, reproducible automation of synthesis-, measurement- and data pipelines, data visualization, exploration andThe materials scientists we work with do not want (or need) to learn the ways of the scatterer; they are primarily interested in obtaining trustworthy, authoritative answers. In particular, they need structural understanding in light of the wider framework of their experiment(s). Our interest, therefore, lies in helping them attain this this interconnected understanding, while using such investigations to further hone our methodology to approximate perfection. While perfection is by definition an unattainable goal, we have spent the last 15+ years exploring and expanding on many of its constituent aspects (often together with likeminded people) [1]. These aspects include: developing various visualization and simulation tools, deconstructing data corrections and uncertainty estimation, advancing analysis methods, quantifying questions on traceability, documentation, reproducible automation of synthesis-, measurement- and data pipelines, data visualization, exploration and education, and many more… As we explored these individual aspects, it has become clear that high quality output demands involving ourselves in the entire experimental workflow, with all associated aspects. This allows you to establish trustworthy links between parameters, structure, and performance. Through multiple cross-checks and validations, we can furthermore assign a degree of confidence to our findings. This is what we call the holistic approach. This talk will briefly define perfection in scattering experiments, expand on the holistic approach, and show examples to demonstrate its benefits.zeige mehrzeige weniger

Volltext Dateien herunterladen

  • 20250515_Elettra.pdf
    eng

Metadaten exportieren

Weitere Dienste

Suche bei Google Scholar Anzahl der Zugriffe auf dieses Dokument
Metadaten
Autor*innen:Brian Richard PauwORCiD
Dokumenttyp:Vortrag
Veröffentlichungsform:Präsentation
Sprache:Englisch
Jahr der Erstveröffentlichung:2025
Organisationseinheit der BAM:6 Materialchemie
6 Materialchemie / 6.5 Synthese und Streuverfahren nanostrukturierter Materialien
DDC-Klassifikation:Technik, Medizin, angewandte Wissenschaften / Ingenieurwissenschaften / Ingenieurwissenschaften und zugeordnete Tätigkeiten
Freie Schlagwörter:Data stewardship; Holistic experiments; Laboratory automation; Laboratory management; User support; X-ray scattering
Themenfelder/Aktivitätsfelder der BAM:Material
Material / Advanced Materials
Veranstaltung:Invited talk - special event
Veranstaltungsort:Trieste, Italy
Beginndatum der Veranstaltung:15.05.2025
Verfügbarkeit des Dokuments:Datei im Netzwerk der BAM verfügbar ("Closed Access")
Datum der Freischaltung:16.06.2025
Referierte Publikation:Nein
Eingeladener Vortrag (wissenschaftliche Konferenzen):Ja
Einverstanden
Diese Webseite verwendet technisch erforderliche Session-Cookies. Durch die weitere Nutzung der Webseite stimmen Sie diesem zu. Unsere Datenschutzerklärung finden Sie hier.