|
Type |
Symposium |
Area |
Recent Trends in Computational Chemistry: Bigdata and Artificial Intelligence |
Room No. |
Room 402 |
Time |
FRI 15:20-: |
Code |
PHYS3-3 |
Subject |
Artificial Intelligence Driven Materials Data Platform for Materials Discovery and Design |
Authors |
Min Sun Yeom Korea Institute of Science and Technology Information, Korea |
Abstract |
In order to apply artificial intelligence to find new materials and design new materials with specific properties, we developed artificial intelligence driven materials data platform. The platform provides open web-based access to use and analyze computational data sets and to predict properties of new materials. The platform provides four kinds of analysis tools such as crystal editor, phase diagram, battery explorer and reaction calculator. The platform also provides an AI predictor to make predict the properties of new materials. Currently the database contains over 200,000 calculated structures. |
E-mail |
msyeom@kisti.re.kr |
|