(Invited) A New Model for Materials Genome Initiative - Driven Research: The High Throughput Experimental Materials Science Virtual Laboratory

2017 ◽  
Vol 4 (1) ◽  
pp. 011105 ◽  
Author(s):  
M. L. Green ◽  
C. L. Choi ◽  
J. R. Hattrick-Simpers ◽  
A. M. Joshi ◽  
I. Takeuchi ◽  
...  

MRS Advances ◽  
2020 ◽  
Vol 5 (7) ◽  
pp. 329-346 ◽  
Author(s):  
Thomas J. Oweida ◽  
Akhlak Mahmood ◽  
Matthew D. Manning ◽  
Sergei Rigin ◽  
Yaroslava G. Yingling

ABSTRACTSince the launch of the Materials Genome Initiative (MGI) the field of materials informatics (MI) emerged to remove the bottlenecks limiting the pathway towards rapid materials discovery. Although the machine learning (ML) and optimization techniques underlying MI were developed well over a decade ago, programs such as the MGI encouraged researchers to make the technical advancements that make these tools suitable for the unique challenges in materials science and engineering. Overall, MI has seen a remarkable rate in adoption over the past decade. However, for the continued growth of MI, the educational challenges associated with applying data science techniques to analyse materials science and engineering problems must be addressed. In this paper, we will discuss the growing use of materials informatics in academia and industry, highlight the need for educational advances in materials informatics, and discuss the implementation of a materials informatics course into the curriculum to jump-start interested students with the skills required to succeed in materials informatics projects.


2020 ◽  
Vol 57 ◽  
pp. 113-122 ◽  
Author(s):  
Yingli Liu ◽  
Chen Niu ◽  
Zhuo Wang ◽  
Yong Gan ◽  
Yan Zhu ◽  
...  

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Juan J. de Pablo ◽  
Nicholas E. Jackson ◽  
Michael A. Webb ◽  
Long-Qing Chen ◽  
Joel E. Moore ◽  
...  

2005 ◽  
Vol 24 (1) ◽  
pp. 22-28 ◽  
Author(s):  
Andreas Frantzen ◽  
Daniel Sanders ◽  
Jens Scheidtmann ◽  
Ulrich Simon ◽  
Wilhelm F. Maier

2018 ◽  
Vol 143 ◽  
pp. 129-136 ◽  
Author(s):  
Zhen Liu ◽  
Yifan Li ◽  
Diwei Shi ◽  
Yaolin Guo ◽  
Mian Li ◽  
...  

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.


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