|About this Abstract
||Materials Science & Technology 2019
||Data Science for Material Property Interpretation
||Data Analytics for Correlative Multimodal Chemical and Functional Imaging
||Anton Ievlev, Olga Ovchinnikova
|On-Site Speaker (Planned)
Advancing of functional materials requires understanding and control their structure, chemistry and function on the nanoscale. While much of the chemical and structural properties can be studied on macro-scale systems, there is a lack of information about chemical properties on the nanoscale and its correlation to the structure. Here we suggest multimodal chemical and functional imaging approach combining scanning probe microscopy with mass spectrometry and optical spectroscopy to unravel behavior of functional materials. This approach transcends existing techniques by providing nanoscale structural imaging with simultaneous chemical and functional analysis. However, analysis and interpretation of the collected data is complicated by the data multidimensionality and size. Here, I will discuss data analytics techniques for data co-registration and semi-automated interpretation based on multivariate statistical analysis.
This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility.
||Definite: At-meeting proceedings