Symposium CM2-Quantitative Tomography for Materials Research

In recent years, materials characterization and modeling efforts have rapidly evolved to address questions in multiple dimensions (2D, 3D and beyond) and multiple scales (both spatially and temporally) by using multiple modalities (light, electron, X-ray, etc.). To encourage continued materials insights through the application of such techniques, focus will be given to exploring the ways in which tomographic characterization is becoming a quantitative technique in materials science. This symposium will focus on technologies that obtain 3D spatial information across multiple length scales; primarily X-ray tomography and FIB-SEM tomography, but also including complementary approaches.

The emerging fields of in situ and 4D (3D + time) microscopy, which enables the quantification of materials evolution and behavior will be highlighted. This symposium will examine the development of a range of in situ environments that facilitate the study of materials evolution under various conditions including temperature, load, electrochemical cycling, corrosion, etc. Methodologies for 3D and 4D data analysis and quantification, namely image filtering and analysis, geometrical quantification, digital volume correlation, crystallographic analysis, and methods that utilize a starting 3D microstructure as input for computational models (Finite Element, CFD, etc.) are to be explored and highlighted.

Finally, this symposium encourages the discussion of approaches that judiciously utilize information from multiple techniques to answer multi-modal, -dimensional and –scale problems in materials research, and will engage the user community in conversations regarding technique standardization and best practice for this exciting, and emerging field of correlative characterization.

Topics will include:

Advances in 3D computational materials modeling
Experimental characterization techniques for 3D data acquisition (x-ray tomography, FIB/SEM, etc.)
Image processing and digital representation of 3D microstructure and property data
Microstructural evolution in 3D and 4D; development of in situ environments
Approaches to correlating multi-scale, multi-dimensional and multi-modal information

Invited Speakers:

CM2_Quantitative Tomography for Materials Research _0 (École polytechnique fédérale de Lausanne, Switzerland)
CM2_Quantitative Tomography for Materials Research _1 (Arizona State University, USA)
CM2_Quantitative Tomography for Materials Research _2 (Brookhaven National Laboratory, USA)
CM2_Quantitative Tomography for Materials Research _3 (The Ohio State University, USA)
CM2_Quantitative Tomography for Materials Research _4 (Fraunhofer-Institut für Werkstoffmechanik IWM, Germany)
CM2_Quantitative Tomography for Materials Research _5 (Lund University, Sweden)
CM2_Quantitative Tomography for Materials Research _6 (Xnovo Technology, Denmark)
CM2_Quantitative Tomography for Materials Research _7 (Carnegie Mellon University, USA)
CM2_Quantitative Tomography for Materials Research _8 (The Ohio State University, USA)
CM2_Quantitative Tomography for Materials Research _9 (Argonne National Laboratory, USA)
CM2_Quantitative Tomography for Materials Research _10 (Fibics Incorporated, Canada)
CM2_Quantitative Tomography for Materials Research _11 (DTU, Denmark)
CM2_Quantitative Tomography for Materials Research _12 (University of Tokyo, Japan)
CM2_Quantitative Tomography for Materials Research _13 (University of Warwick, United Kingdom)
CM2_Quantitative Tomography for Materials Research _14 (ETH Zurich / SLS, Switzerland)
CM2_Quantitative Tomography for Materials Research _15 (Wright Patterson Air Force Base - UDRI, USA)
CM2_Quantitative Tomography for Materials Research _16 (Northwestern University, USA)
CM2_Quantitative Tomography for Materials Research _17 (University of Manchester, United Kingdom)
CM2_Quantitative Tomography for Materials Research _18 (Institute of Metal Research, Chinese Academy of Sciences, China)
CM2_Quantitative Tomography for Materials Research _19 (Fraunhofer IKTS, Germany)