Combinatorial Materials Science and EBSD: A High Throughput Experimentation Tool

Author(s):  
Krishna Rajan
2014 ◽  
Vol 1654 ◽  
Author(s):  
J. M. Gregoire ◽  
J. A. Haber ◽  
S. Mitrovic ◽  
C. Xiang ◽  
S. Suram ◽  
...  

ABSTRACTThe High Throughput Experimentation (HTE) project of the Joint Center for Artificial Photosynthesis (JCAP, http://solarfuelshub.org/) performs accelerated discovery of new earth-abundant photoabsorbers and electrocatalysts. Through collaboration within the DOE solar fuels hub and with the broader research community, the new materials will be utilized in devices that efficiently convert solar energy, water and carbon dioxide into transportation fuels. JCAP-HTE builds high-throughput pipelines for the synthesis, screening and characterization of photoelectrochemical materials. In addition to a summary of these pipelines, we will describe several new screening instruments for high throughput (photo-)electrochemical measurements. These instruments are not only optimized for screening against solar fuels requirements, but also provide new tools for the broader combinatorial materials science community. We will also describe the high throughput discovery, follow-on verification, and device implementation of a new quaternary metal oxide catalyst. This rapid technology development from discovery to device implementation is a hallmark of the multi-faceted JCAP research effort.


MRS Bulletin ◽  
2006 ◽  
Vol 31 (12) ◽  
pp. 999-1003 ◽  
Author(s):  
Ichiro Takeuchi ◽  
Mikk Lippmaa ◽  
Yuji Matsumoto

AbstractHigh-throughput experimentation is effective in systematically producing large and diverse data sets. The marriage of combinatorial materials science and informatics is a natural one, and results are beginning to emerge from the integration of elements of materials informatics with data from combinatorial libraries. We discuss data management issues in high-throughput experimentation and highlight recent examples where data-mining tools are being implemented for extracting knowledge and predicting new compounds, with an emphasis on electronic materials.


2007 ◽  
pp. 109-119 ◽  
Author(s):  
Changwon Suh ◽  
Krishna Rajan ◽  
Brandon M. Vogel ◽  
Balaji Narasimhan ◽  
Surya K. Mallapragada

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