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Special Session CA-13
Big Data Enhanced Technology for Ceramic Advancement

Convener:
Jingyang WANG, Institute of Metal Research, CAS, China

Members:
Wai-Yim CHING, University of Missouri, USA
Paolo COLOMBO, Università di Padova, Italy
Hua-Tay LIN, Guangdong University of Technology, China
Alexander MICHAELIS, Fraunhofer Institute for Ceramic Technologies and Systems, Germany
Tatsuki OHJI, AIST, Japan
Ivar REIMANIS, Colorado School of Mines, USA
Sudipta SEAL, University of Central Florida, USA
Dileep SINGH, Argonne National Laboratory, USA
Isao TANAKA, Kyoto University, Japan
Winnie WONG-NG, NIST, USA
The list will be available soon
 
A Special Session promoted by


World Academy of Ceramics

The traditional way of innovations and development in materials field are human-centred, where scientists and engineers design, conduct, analyse and interpret results obtained   through simulations, experiments, or literature review. Such results are often high-dimensional, huge in number and heterogeneous in nature, which hinders researcher’s capability to draw insight from extensive information. As we approach the new era of explosive generation of big data and creative concept of artificial intelligence and machine learning, we may envisage a completely different paradigm for generating knowledge and advancing technology. Machine-aided innovation will accelerate important leaps towards better and more affordable solutions for the sustainable development of human society. Big data enhanced emerging technologies would be able to pioneer the new paradigm to discover truth beyond information and generate knowledge.
 
This Special Session would address virtual materials design, integration of information technology and the next-generation manufacturing. The technical program will identify key challenges and opportunities for big data enhanced  technologies in accelerating  materials innovation and creating sustainable development. Some of the key topics which will be covered are high throughput materials design and characterization, big data, materials genome and informatics, machine learning, artificial intelligence aided smart manufacturing, and other information enhanced emerging technologies for sustainable advancements of ceramic materials. The program will provide a flavor of knowledge sharing and brainstorming and generate important discussion on what the ceramic community is heading the challenges of sustainable development and Industry 4.0.
Session Topics

CA-13.1 Virtual Materials Design and Evaluation

CA-13.2 High-throughput Characterization and Testing

CA-13.3 Big Data Methodologies and Integration of Information Technology

CA-13.4 Machine Learning and Artificial Intelligence

CA-13.5 Next Generation Smart Manufacturing

CA-13.6 Big Data and Sustainable Societal Development

SUBMIT AN ABSTRACT

Cimtec 2020

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