CIQuS

KEK

#01 Multiscale and multimodal structure analysis with quantum beams and informatics

Project Leader: ONO, Kanta

We develop an innovative multi-scale and multi-modal analysis framework (CaaS: Characterization as a Service) that enables to measure, analyze, and gain knowledge of hierarchical heterogeneity of materials from micro to macro scales.

Objectives

  • A methodology to automatically determine optimal measurement conditions:
    Adaptive experimental design method
  • Extracting information from measurement data with low signal-to-noise ratio:
    high-throughput measurement
  • Automation of measurement data analysis: Multi-objective optimization by machine learning
  • Extracting information from multi-scale and multi-modal measurement data: Modality transformation

Key aspects

  • This research is not a mere analysis of individual measurement data, but aims for a synergistic framework integrating quantum beam measurement and information science (AI technology).
  • We integrate multimodal measurement data into a database using information science in order to extract the knowledge necessary to advance multilateral research

Main members (IMSS, KEK)

ONO, Kanta / TAKEICHI, Yasuo / HAWAI, Takafumi / SAITO, Kotaro / YAMADA, Norifumi

Collaborative members

UENO (QST)

Main techniques

X-ray and Neutron diffraction, Small-angle X-ray and Neutron scattering, X-ray and Neutron reflectivity, X-ray absorption spectroscopy, Scanning transmission X-ray microscope, Inelastic neutron scattering, Electron microscope

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