Abstracts were due June 15, 2020.
Symposium F.MT05-Advancing Materials Characterization Through Atom Probe Tomography
The invention of the local electrode atom probe (LEAP) with laser pulsing capabilities in the early 2000’s has enabled for high throughput near atomic resolution 3D imaging of several material classes. With ongoing instrumental and data analysis development, the field has rapidly expanded to a wide range of materials such as structural materials, semiconductors, insulators, energy storage materials, photovoltaics, thermoelectrics, catalysts, thin film oxides (such as memristors), biological materials, and much more. This symposium will be focused on technique development, improved data mining and simulation algorithms as well as APT applied to advanced materials for energy applications, catalysis, computation, alloy engineering, and additive manufacturing for basic science and industrial application.
APT instrumental developments including reconstruction and analysis software and hardware modification have made a major impact on the advancement of materials characterization and are of great interest for the improvement of the technique. One of the recent advancements in APT hardware development is the implementation of cryogenic, vacuum transfer systems, which has opened the door for new studies including, but not limited to, biological materials, hydrogen embrittlement in structural materials, and solid-liquid interfaces such as those in battery systems and corrosion science. These materials systems are a small subset of several material systems that pose challenges for APT data acquisition, and therefore, the application of APT to challenging material systems that are rarely analyzed by APT need to be communicated and addressed. Correlative techniques using APT are also of great importance for providing accurate nanoscale material information. Developments in these areas are key to improving the field. In addition, Data analysis, reconstruction, and simulation algorithms are of great importance for interpreting experimental results as well as unveiling meaningful information in ways not possible using prior algorithms. Improvements to and development of new data mining and simulation algorithms are important for data interpretation. The information provided by the LEAP is pertinent to materials development as this is a unique technique that can unveil near atomic resolution 3D atom positions with 10 ppm sensitivity. Improvements to APT data analysis, simulation, and experimental techniques are inevitable, which will allow for us to better understand the fundamental underpinnings of material functionalities such that better functional materials can be manufactured.
Topics will include:
- Technique development such as cryo-transfer, new photon sources, etc.
- Correlative APT–APT combined with TKD, EBSD, TEM, simulations, etc.
- New algorithms for improved/more efficient data collection, mining, and analysis, including machine learning
- Pioneering in APT–APT of new material systems
- APT applied to semiconducting materials
- APT applied to energy storage materials
- APT for catalytic material including zeolites, nanoparticles, etc.
- APT characterization of advanced structural materials, including additively manufactured, HEAs, etc.
- A tutorial complementing this symposium is tentatively planned.
(Harvard University, USA)
(Oxford University, United Kingdom)
Ann Chiaramonti Debay
(National Institute for Standards and Technology, USA)
(Colorado School of Mines, USA)
(Max Planck Institute for Iron Research, Germany)
(ETH Zürich, Switzerland)
(McMaster University, Canada)
(Samsung Advanced Institute of Technology, Republic of Korea)
(Oxford University, United Kingdom)
(Université de Rouen, France)
(Imperial College London, United Kingdom)
(Pacific Northwest National Laboratory, USA)
(University at Buffalo, USA)
Sophie Van Vreeswijk
(Utrecht University, Netherlands)
(The Pennsylvania State University, USA)
Oak Ridge National Laboratory
Center for Nanophase Materials Sciences
Idaho National Laboratory
University at Buffalo, The State University of New York
Jae Bok Seol
Gyeongsang National University
Department of Metallurgy and Materials Engineering
Republic of Korea